Judge Jimmie Reyna’s decision in McRO v Bandai is without question one of the best decisions to emerge from the Federal Circuit as it competently addressed key elements of Alice Corp. v. CLS Bank. Judge Kara Stoll and Judge Richard Taranto, who signed onto this landmark opinion, should also be praised with Judge Reyna. The McRO decision, among other things, stands for the idea that software is a process under 35 U. S. C. § 101, and that a claim that does naught more than receive data, process data and “apply” the processed data is patent eligible under § 101. The representative claim of McRO is reproduced below for convenience.
Now contrast the above-recited claim to a representative claim in SAP America v. InvestPic opinion re-issued on August 2, 2018 – said opinion authored by Judge Taranto.
(c) generating a plot of the distribution function.
There is no assertion by the Federal Circuit that the InvestPic claim above is anticipated or obvious, and indeed Judge Taranto acknowledges that the InvestPic claims may represent an improvement in the field of market analysis. “Here, the focus of the claims is . . . the improved mathematical analysis.” Investpic, slip op. at p. 14. However, Judge Taranto nonetheless declared that, despite any possible innovation, the Investpic claims “fit into the familiar class of claims that do not ‘focus . . . on  an improvement in computers as tools, but on certain independently abstract ideas that use computers as tools.’” Id. That is, Judge Taranto dismisses the idea that a claimed improvement may be directed to a technology process not related to computer science. Compare Alice Corp., which correctly observed, inter alia, that the mathematical computer claims “in Diehr were patent eligible because they improved an existing technological process, not because they were implemented on a computer.” Alice Corp., slip op. at p. 13.
“Contrary to InvestPic’s contention, the claims here are critically different from those we determined to be patent eligible in McRO . . . . The claims in McRO were directed to the creation of something physical – namely, the display of “lip synchronization and Facial expressions” of animated characters on screens for viewing by human eyes. The claimed improvement was to how the physical display operated (to produce better quality images)” (internal citations omitted).
Contrary to Judge Taranto’s position, not only does the McRO claim not produce a physical improvement to a display (contrast In re Allapat), but as can be seen above a display is not even recited in the McRO claim. Judge Taranto’s position is as best an assertion that a physical display somehow works better because of the content displayed is subjectively more appealing. However, a colorized version of The Maltese Falcon does not improve the intrinsic qualities of a generic display. Similarly, the intrinsic qualities of a Kindle reader are not improved based on the quality of an author’s style of writing.
Not only is Taranto’s assertion absurd on its face to any novice student of electrical engineering, but the McRO Appellant/Patentee never asserted any improvement to a display as is evidenced by the Appellant’s briefs and statements during oral argument.
Indeed, it was the Appellant’s position in McRO that the patents at issue “address an improvement to a specific technological process.” Doc 69, p. 37. “They recite a technological method that enables a computer to do something it could not do before.” Id. “Clip 3, illustrates precisely how the method ‘improve[s] an existing technological process.’” Doc 69, p. 53.
Further, the Appellant’s positions are well-represented within the four-corners of the McRO decision, which makes no mention of an improved display. “It is the incorporation of the claimed rules, not the use of the computer, that “improved [the] existing technological process” (emphasis added). McRO, slip op. at. p. 24. “The claim uses the limited rules in a process specifically designed to achieve an improved technological result” (emphasis added). Id. at. p. 27.
A software process was improved in McRO, and Judge Taranto’s attempt to assert that the operation of a physical display is improved is facially absurd.
Also completely missing from Judge Taranto’s opinion is any discussion of how the InvestPic claims differ from the software claims in Aatrix v. Green Shades, and Berkheimer v. HP – other landmark opinions that Judge Taranto signed onto.
Judge Taranto might have filed a dissent in Berkheimer. Judge Taranto might have filed a dissent in Aatrix as did Judge Reyna to completely change the outcome. However, for reasons not explained to the gentry, Judge Taranto declined such efforts.
Perhaps there is a coherent argument under the Alice/Mayo framework to credibly distinguish InvestPic from McRO, Berkheimer and Aatrix. However, the patent community will likely be waiting a long time to hear it.
Burman York (Bud) Mathis III is a sole-practitioner in the Washington D.C. area with experience in patent drafting and prosecution, opinion writing, due diligence, litigation and appellate work. Mr. Mathis technical expertise and experience is far-ranging. For example, Mr. Mathis’ experience covers a wide variety of highly-technical subject matter that includes wired and wireless communications (including MIMO, 3G, 3GPP/LTE, D2D and 4G technology), analog and digital electronics, image processing, semiconductor devices and processes, solid-state physics, material science, printers and copiers, projectors, cameras, speech recognition and synthesis, xerography, cryptography, control systems, magnetic and optical disc technologies, fiber optics, MEMS technologies, nanosensors, GPS navigation systems, software, computer networking and business methods.
There are currently 35 Comments comments.
This is all just witch nonsense. It would be like looking at a machine made of iron and saying well those gears are abstract but not THOSE gears.
Information processing is a physical process that requires structure. To process information requires time, space, and energy. The entire analysis by the CAFC is that they think that parts of the claims are processed in the ether by angels.
I agree. It is absurb to think a process has to improve a computer to be patent eligible. For example, a computer attached to a shoebox and the result cures cancer would not be patent eligible with this view.
The only explanation for such an illogical view is an explanation with an agenda that needs to be hidden.
Software is NOT a process.
The execution of software is a process.
Innovation that may take the form of software may ALSO take the form of a process.
It does NOT help to be glib on this point. FAR too many “anti-software patent” people use the “software is a process” MISTAKE as their launching point.
As professionals, we need to take that launching point away. Yes, I am well aware that it is simply easier to talk about innovation that happens to be able to be portrayed with software in action terms, and I am fully aware that the “ware” in software is patent-equivalent to the other “wares” (hardware and firmware) – but please remember that not all of us are treating these items with inte11ectual honesty.
The key to unraveling this is structure. Taranto acts as if there is no structural difference between the prior art and the claims in InvestPic. Taranto argues that there can be new functionality without structure.
Any person skilled in the art of computer science knows that software solutions is equivalent to hardware solutions.
This is precisely why the proper patent doctrine to invoke with this reasoning is Inherency.
Any assertion that the “old” structure – with no change – can “all of sudden” have a new capability would need to establish that this was in fact a capability PRESENT all along.
Of course, the fallacy being pursued here has also been exemplified in a number of manners over the years. For example, discussions of the “House/Morse” fallacy come to mind, as well as the old thought experiment labelled the Grand Hall experiment.
It is indeed “equivalent” to “magic” or “witchcraft” to suppose that with no changes whatsoever, a machine can “all of a sudden” turn a mere capability of change into a done-deal and have the capability “already in there.” IF in fact “already in there,” than Inherency is what is being used.
I don’t disagree. I’m merely using the wording in Benson and subsequent courts, and assert that the “execution of software” is implicit in the courts’ holdings.
That said, would your definition read out an In re Beauregard claim given you’re technically claiming a machine?
The way to quantify or articulate this is as follows. Machine 1 perform functions X. Machine 2 performs functions improved X. Taranto’s argument is that there is no new structure in Machine 2 and yet somehow it manages to perform functions improved X.
These various cases cannot be reconciled. Also, one needs to pay attention to the fact that the CAFC does not always address the system claims when addressing a 101 rejection.
For example, Electric Power Group and Investpic both asserted system claims that cannot be read on a human mind performing the various steps, but these claims aren’t addressed in either opinion. McRO has similar system claims.
My point: the method and system claims need to be addressed separately – and you risk your client’s IP if the method claims can read on on a human mind performing mental steps.
FYI, your IP att’y did a great job in claiming imo.
One additional comment: the CAFC appears to be responsive to amicii curae briefs. For example, BSA, the Software Alliance, filed on on behalf of McRO but not one for Investpic. This is no indication that the BSA is somehow nefarious, but that they can have a substantial influence on the outcome of a case.
FWIW, there is a great likelihood that Investpic will file for a rehearing en banc at the CAFC. Consider filing an amicus brief.
Absolutely. Software changes the configuration of a computer. Also, from a statutory standpoint do NOT forget that 35 USC s100 defines a “process” as including “a new use of a known . . . machine.” Accordingly, software processes fall within the definition adopted by Congress in 1952.
I do believe – at heart – we agree on much of this. My caution though is the fact that many will purposefully obfuscate with ANY looseness between software (a manufacture, and machine or system component) and a process (which may involve the execution of software along with other machine components in a system).
Would someone tell me on what basis a method for calculating, analyzing and displaying investment data falls within the useful arts. What is transformative about the claim? What new result is it likely to achieve? What was the underlying discovery?
Those who know me will recall the pro-patent effort I have put in over the last five years. But not this case.
You do put in some “pro-patent” effort, but your 101 views are lacking and hew too closely to a Euro-centric model.
Put plainly: business methods fall within the Useful Arts.
We all want this s101 insanity to end. The solution is to recognize where the insanity began.
Our appeal approach will be that the in-place rules are not being followed at various (if any) levels.
An additional argument will be my claims cannot be read on the human’s mind as evidenced by the fact that the professionals and experts have failed to solve this problem since the inception of the federal program in 1956.
There seems to be an insistence by people in authority to compare putting a computer on problems already solved versus putting a computer on a problem that skilled artisans have failed to solve. I think the insistence is deliberate, political and serve-serving to those parties that are anointed.
Frankly, I do not trust the appeal process. Conversely, I would bet the house that a jury of my peers would find in favor of my arguments.
Paul Cole >>>Would someone tell me on what basis a method for calculating, analyzing and displaying investment data falls within the useful arts. What is transformative about the claim? What new result is it likely to achieve? What was the underlying discovery?
Information processing is a physical process. It takes time, energy, and space to process information. Information processing is what we hold so dear about ourselves over animals. Information processing is why some people are paid so much and other not.
So why do you think that information processing is not a transformation or useful? It is counter to physics and counter to all that science knows about information processing.
Consider just a simple problem of adding 2 + 2. That cannot be done without time, energy, and space.
The only thing I can say is that it appears to me that the people that take the position you do believe that you have a mind where information processing is performed in a spirit world. That appears to be the common thread with people like Stevens, Ginsburg, Taranto, etc.
It’s considered a “process” under s101. “Unless otherwise defined, ‘words will be interpreted as taking their ordinary, contemporary, common meaning.’” — Bilski, Diehr. Also, Bilski said that a process does not need to be transformative or tied to a particular machine. Bilski was intended to widen the scope of patentability. Business methods were held to be patentable – just not really old business methods like Bilski’s.
I keep telling people this: The bigger problem isn’t the SCOTUS – it’s the CAFC. Sure – the SCOTUS’ Mayo decision let loose an ancient and unlawful evil. However, instead of narrowly construing the evil, the CAFC sacrificed everyone’s patent portfolios to it.
I do not – and cannot – hold the Supreme Court and the CAFC in the same relative positions of culpability.
The Supreme Court has browbeaten the CAFC into senselessness. Much like the philosophical thought experiment of training simians in a cage with a firehose (dousing the simians whenever one of the group dares to climb a step ladder in the middle of the cage to reach for bananas suspended from the ceiling).
What we have seen in the realm of 101 has been a back and forth between the Supreme Court and Congress, with the CAFC dragged in as a weak proxy for Congress.
The Supreme Court disregarded the intended lesson from 1952.
Congress needs to wake up, see the historical battle for what it has been, reclaim its Constitutional authority, and prevent the usurpation of that authority (again) by using the Constitutional granted power of jurisdiction stripping by stripping the Supreme Court of the (non-original) jurisdiction of patent appeals.
As long as Congress sets up a sufficient (read that as new and non-brow-beaten) Article III Court for review (to honor Marbury), the Supremes and THEIR penchant for twisting the nose of wax and legislating from the bench can be quashed.
Additionally, what would help this effort is that undue fealty to the Supreme Court be ended by those of us attorneys who have a duty to NOT place the Court above the Constitution, reflecting that even the Supreme Court was never intended to be Supreme (in that manner).
The Supreme Court has become disassociated with its own limitations, and Congress too divided (and bought – thank you Citizen’s United) to reign in the wayward branch.
Focus your arguments NOW as if you intend to appeal to the CAFC. Focus on s706 of the APA.
If the examiner used the words “inventive whatever” in his rejection: (1) demand that he define the term, (2) demand he show where the term is found as a prerequisite to patentability.
Also – (A) state that the courts and PTO have no authority to place any additional burden on your claims than what is in the statutory patent laws, (B) assert that your claims both pass the Machine or Transformation test AND constitute a “process” as is recognized by Bilski, Berkheimer and Aatrix (C) state that, while computers are old, your claims are directed to a NEW USE FOR AN OLD MACHINE (see s100), (D) assert that it is improper to import facts and fact-based conclusions from other cases as you didn’t lose those cases, and (E) assert your claims’ advantages as a form of specific utility, and that the examiner never addressed the advantages.
Also, take your claim #1 and bold/italicize every word outside what the examiner said was the abstract idea. This is a showing that the examiner never addressed the claims as a whole.
You saw the brief I sent you? I may lose on all that, but it’s coming up on FIVE MONTHS since oral argument, and the CAFC hasn’t issued a decision. That’s two months longer than Berkheimer or investpic. They’re either working really hard to screw my clients or working really hard to do the right thing. The CAFC has never reversed an Ex Parte s101 rejection under Alice/Mayo – or even issued anything more than a Rule 36.
The PTAB will likely screw you, but you have a perfect 101 case to take to the CAFC. When that happens – call me – you’ll have nothing to lose.
I do not see the USPTO, CAFC or the Supreme Court following their own rules or the laws passed by Congress. I am glad my career was not this field, my condolences to those in it. How frustrating it must be for you!
I exploited situations where rule of law actually did exist during my 42-year career. I had great success exposing these types of inconsistencies experienced by many of you.
I wrote an op-ed, and you will easily see my theme regarding lack of rule of law in the field of patent prosecution. I sincerely hope I never have to return to this patent world under the current state of affairs.
The Supreme Court has browbeaten the CAFC into senselessness.
It’s more my impression that the CAFC misreads Alice/Mayo. They broadly construe the exclusionary principle, disregard the need for evidence whenever it suits them and ignore the requirement to address the claims as a whole.
Then again, the SCOTUS constantly misrepresents its own s101 case law, and I’m sure either of us can point to several instances where the SCOTUS’ rules contradict one another.
I will forward all your comments to my attorney.
Did not get your brief. What is your email? Thank you for your assistance!
B: Email sent. Thank you for your generous guidance!
Though perfectly legal, given how badly (and unfairly) they’ve been attacked and treated, stop using method claims.
B — like concerned at 25 — thank you!
Everyone needs to keep a copy of your above guidance; and your brief.
If possible, is there a link to your brief(s)? Or perhaps the CAFC case #?
… and I’ll add a suggestion. Especially since there are no word / page limits at the PTAB level, use each and every arg you can. Strongest first.
Surprisingly, the large majority of ex parte / CAFC briefs I’ve read over the years don’t include all the args they could have.
In this day and age; and especially with s101; you just don’t know which of your args may win the day.
Yes; don’t so will cost you more money; maybe a lot more money.
But isn’t your patent worth it?
I predict that courts can never do right in the Alice issue. They need to rethink how they created the mess and what have been wrong in their approach.
I believe that the patent law originally barred mathematical algorithms, mental steps, and abstract concepts, etc. In the old time, judges could not see technologies as we could now. Long before computer art was known, mathematical algorithms meant things like Y=aX+b, mental steps meant the actual thinking process inside the human brain, and abstract concepts meant things that could not be accurately defined. Those things were indefinite.
After computer technologies arrived, courts extended those doctrines to the computer art. From many decisions, I can see that judges keep thinking that processes defined by those doctrines can be accurately identified in computer art. If abstract things are incapable of being defined, how can courts find their boundaries in conducting 101 analysis?
I could not agree more with you. I would add to this, though, that a lot of the judges don’t understand computer or thinking. Many of them believe that information exists in an ethereal form and that they have a mind that processes information in the spirit. Just search for ethereal form in CAFC decisions.
They also don’t understand that information processing is a physical process–necessarily. That to process information it require time, energy, and space. Plus I would add a machine with structure. Many of the judges have this notion that a machine can perform new functions without new structure.
If you look at the education of many of the judges it is easy to see why they are so ignorant. Most of them were educated long ago before modern cognitive science and before theoretical computer science.
Respectfully, there are a lot of different views as to the “mental steps” doctrine. Some are pretty silly. Justice Stevens takes the cake. Judge Taranto is almost as bad (depending on the day). They believe that anything a computer can do constitutes a mental step.
Some CAFC judges want to see a few formalities, such as a claim written such that it cannot read on a human mind performing a process, and some don’t even need to see that.
As of today, I would always recommend citing some form of machinery when making a s/w claim. Note that the SCOTUS declared in Bilski that the definition of “process” doesn’t require a machine or transformation. and in that sense broaden patent eligibility.
The lunkheads at the PTO, however, are so effing stupid that they got it wrong on their patent-eligibility flowchart.
It’s only valuable if I win this ongoing case. Otherwise, I’m just the latest loser in a five-year string of losers. Five freaking months since oral argument! Oy!!! I’ll figure out something soon to put a lot of the best briefs on-line. I’m also considering forming a not-for-profit organization that will provide aid to inventors and small businesses in the form of a stream of amicus briefs and lobbying on the Hill and to the USPTO. Maybe fixed-fee appeals to the CAFC. Something akin to the BSA (The Software Alliance) but not controlled by the fortune 100.
Just FYI, JCD is (to my knowledge) the first person to win a s101 rejection on appeal. Shortly after Berkheimer and my oral argument the Solicitor caved in his case, which was then remanded back to the PTO by mutual consent.
My appeal (in the process with the PTAB) should test the Berkheimer evidence view. 2 university studies and documents from every one of my competitors/end users reflecting both the problem my solution solves and that nobody uses my process. What are the odds of being lucky enough to secure this level of evidence? And yet it was rejection after rejection at the USPTO?
As I go up the appeals food chain, this “Poster Child” case gets wider and wider attention. I could throw a bunch of crap against the wall and see what sticks, however, I just got to know. The litmus test gauntlet will be thrown down: Does evidence really matter or is all this dog and pony show really the patent killing fields for the anointed?
I fully agreed with you. Virtually all problems can be attributed to their ignorance.
Courts are obsessed with the idea that a machine must comprise distinctive features like gears and a box. They do not recognize the structure can reside in hardware at atomic and molecular levels (on a storage media and electronic signals in chips and processors). New discoveries show that even mental processes require structural support in human neurons.
Why should they deny micro-structures? Inventions residing on micro-structures are MAGNITUDES more important than those residing on macro-structures. Terms like “something physical” and “an improvement in computers as tools” reflects that judges could not see micro-structures. Future technologies are quantum computers, neutron-like technologies, and nanotechnologies…. They are still looking for gears and boxes because their predecessors have done so for centuries.
In advanced technologies, mathematical algorithms are often where inventiveness resides. If a patent is not to claim pure mathematical algorithms, what is the point to bar such a patent?
Also, it is a delusion to attempt to use distinctive structural differences between mental steps and non-mental steps to determine patentable computer-driven processes. There is never be a distinctive line for them to find. Their law with an assumption of this line (which does not exist) has turned patent litigation into battles of experts. In most patent cases, winners are decided by parties ability to procure favorable evidence and opinions. I note that false evidence and junk science have become decisive factors in litigation outcomes in all kinds of cases. This line of law, as many others, is responsible for creating the bizarre litigation culture. Such laws have turned patents from assets into liabilities for most incremental inventions.
They achieved absolute nothing in eliminating indefiniteness in patent claims. They can keep doing it, tormenting patent litigants. Litigating a patent claim at several millions spending is a total failure of their approach.
In my view, it was a mistake to extend those old doctrines into the computer art in the first place. The courts will NEVER succeed in settling law. They still have not known what is wrong. I personally have long rewarded those attempts as judicial jokes of the worst kind. Several jokes were exposed in this blog, but jokes like this can be found all over their opinions. They need to learn new knowledge, and stop futile attempts that create more judicial conflicts and further reduce invention values.
It should, but likely it won’t. The PTAB are a shameless lot when it comes to 101 rejections. They’ll cite Electric Power Group and/or Investpic even though your claims are quite different. Then they’ll also compare your claims to other claims in a losing case, and call it evidence.
Depends on who you get in your panel. IBM gets shafted same as everyone else. This is why I keep saying write your PTAB brief as if you’re writing to the CAFC.
B: Will do on acting like I will get a fair trial at PTAB before they hang me.
Appeal will be with CAFC in mind.
Thank you for tips! Also, I received the test email.


text:
Topic supervisor: -- all --Andris Peter, Ing., PhD.Antal Eugen, Ing., PhD.Arbet Daniel, Ing., PhD.Babinec Andrej, doc. Ing., PhD.Bajla Ivan, prof. Ing. RNDr., CSc.Ballo Peter, prof. Ing., PhD.Balogh Richard, Ing., PhD.Balogh Štefan, Ing., PhD.Baroňák Ivan, prof. Ing., PhD.Baťa Martin, Ing.Behúl Miroslav, Ing., PhD.Bélai Igor, Ing., PhD.Beláň Anton, doc. Ing., PhD.Bendík Jozef, Ing., PhD.Benko Peter, Ing., PhD.Bisták Pavol, Ing., PhD.Bittera Mikuláš, doc. Ing., PhD.Bokes Peter, doc. Ing., PhD.Brenkuš Juraj, Ing., PhD.Bucz Štefan, Ing., PhD.Budinská Ivana, Ing., PhD.Bukovčiková Zuzana, Ing.Cenký Matej, Ing., PhD.Cigánek Ján, Ing., PhD.Cintula Boris, Ing., PhD.Cocherová Elena, Ing., PhD.Červeňová Jozefa, doc. Ing., PhD.Degmová Jarmila, Ing., PhD.Dekan Martin, Ing., PhD.Drahoš Peter, doc. Ing., PhD.Drozda Martin, Privatdozent Dr. rer. nat.Dubnička Roman, Mgr., PhD.Dúbravský Jozef, Ing., PhD.Duchoň František, prof. Ing., PhD.Ďurman Vladimír, Ing., PhD.Eleschová Žaneta, doc. Ing., PhD.Ernek Martin, Ing., PhD.Fabšič Tomáš, Mgr., PhD.Farkas Gabriel, doc. Ing., PhD.Farkaš Peter, prof. Ing., DrSc.Fedorko Pavol, doc. Ing., PhD.Florovič Martin, Ing., PhD.Fodrek Peter, doc. Ing., PhD.Fuchs Peter, doc. Ing., PhD.Gálik Gabriel, Ing.Gallo Ondrej, Ing., PhD.Gašparovský Dionýz, doc. Ing., PhD.Goga Vladimír, doc. Ing., PhD.Haffner Oto, Ing., PhD.Hagara Miroslav, Ing., PhD.Hain Miroslav, RNDr., PhD.Hallon Jozef, Ing., PhD.Hambalík Alexander, Ing., PhD.Harťanský René, prof. Ing., PhD.Hinca Róbert, doc. Ing., PhD.Hotový Ivan, prof. Ing., DrSc.Huba Mikuláš, prof. Ing., PhD.Hubinský Peter, prof. Ing., PhD.Hulman Martin, RNDr., PhD.Hypiusová Mária, Ing., PhD.Chamraz Štefan, Ing., PhD.Chovanec Ľuboš, Ing., PhD.Chvála Aleš, Ing., PhD.Jagelka Martin, Ing., PhD.Jančárik Vladimír, doc. Ing., PhD.Janíček František, prof. Ing., PhD.Janiga Peter, Ing., PhD.Juhás Gabriel, prof. RNDr., PhD.Kačur Juraj, Ing., PhD.Kajan Slavomír, Ing., PhD.Kardoš Ján, doc. Ing., PhD.Képešiová Zuzana, Ing.Kľúčik Marian, Ing.Klučik Stanislav, Ing., PhD.Kment Attila, Ing., PhD.Kocúr Michal, Ing., PhD.Kočkovič Ladislav, Ing.Kohútka Lukáš, Ing., PhD.Komák Martin, Ing., PhD.Konôpka Martin, Mgr., PhD.Kopča Miroslav, doc. Ing., PhD.Körösi Ladislav, Ing., PhD.Kósa Arpád, Ing., PhD.Kossaczký Igor, RNDr., CSc.Kováč Jaroslav, doc. Ing., PhD.Kováč Karol, doc. Ing., PhD.Kováč Martin, Ing., PhD.Kováč Pavol, Ing., DrSc.Kováč Zoltán, Ing.Kozáková Alena, prof. Ing., PhD.Kozlíková Katarína, doc. RNDr., CSc.Krakovská Anna, RNDr., CSc.Králiková Eva, Ing.Krištofová Kristína, Ing., PhD.Kršjak Vladimír, Ing., PhD.Kubinec Peter, Ing., PhD.Kučera Erik, Ing., PhD.Kutiš Vladimír, prof. Ing., PhD.Kuzma Anton, Ing., PhD.Kuzmík Ján, Ing., DrSc.Leskovský Roman, Ing.Lipnický Lukáš, Ing.Lűley Jakub, Ing., PhD.Majková Eva, RNDr., DrSc.Maňka Ján, Ing., CSc.Marek Juraj, Ing., PhD.Marko Ľubomír, doc. RNDr., PhD.Marton Marián, Ing., PhD.Matišák Jakub, Ing.Mažári Juraj, Ing.Medvecký Martin, doc. Ing., PhD.Mierka Martin, Ing. Mgr.Miglierini Marcel, prof. Ing., DrSc.Michniak Pavol, Ing., PhD.Mikle Dávid, Ing.Miklovičová Eva, doc. Ing., PhD.Mikolášek Miroslav, Ing., PhD.Mladoniczky Milan, Ing.Mokráň Marek, Ing.Mrafko Leo, Ing., PhD.Murgaš Ján, prof. Ing., PhD.Murín Justín, prof. Ing., DrSc.Nádaždy Vojtech, Ing., CSc.Nagy Lukáš, Ing., PhD.Nečas Vladimír, prof. Ing., PhD.Novák Patrik, Ing., PhD.Omelina Ľuboš, Ing., PhD.Ondrejička Kristián, Ing.Orgoň Miloš, doc. Ing., PhD.Osuský Jakub, Ing., PhD.Packa Juraj, doc. Ing., PhD.Páleník Tomáš, Ing., PhD.Paulech Juraj, Ing., PhD.Paulusová Jana, Ing., PhD.Pavlovič Márius, prof. Ing., PhD.Pavlovičová Jarmila, prof. Ing., PhD.Pavúk Milan, Ing., PhD.Perný Milan, Ing., PhD.Pípa Marek, Ing., PhD.Polec Jaroslav, prof. Ing., PhD.Priesol Juraj, Ing., PhD.Přibil Jiří, Ing., PhD.Přibilová Anna, doc. Ing., PhD.Púčik Jozef, Ing., PhD.Rábek Matej, Ing.Raditschová Jana, Ing., PhD.Rakús Martin, Ing., PhD.Rodina Jozef, Ing., PhD.Róka Rastislav, doc. Ing., PhD.Rosinová Danica, prof. Ing., PhD.Rozinaj Gregor, prof. Ing., PhD.Sadloň Matej, Mgr.Sedlačková Katarína, Ing., PhD.Sedlár Tibor, Ing.Sekaj Ivan, prof. Ing., PhD.Slačka Juraj, Ing., PhD.Slugeň Vladimír, prof. Ing., DrSc.Sojka Adam, Ing.Sopiak Dominik, Ing.Stark Erich, Ing.Stoklas Roman, Ing., PhD.Stuchlíková Ľubica, prof. Ing., PhD.Šagátová Andrea, doc. Ing., PhD.Šály Vladimír, prof. Ing., PhD.Šatka Alexander, prof. Ing., CSc.Šrámka Michal, doc. Ing., PhD.Štich Ivan, prof. Ing., DrSc.Štofanik Vladimír, doc. Ing., PhD.Ťapajna Milan, Ing., PhD.Ťapák Peter, Ing., PhD.Tárník Marián, Ing., PhD.Tölgyessy Michal, Ing., PhD.Tyšler Milan, doc. Ing., CSc.Uherek František, prof. Ing., PhD.Ušák Elemír, doc. Ing., PhD.Valko Pavol, doc. RNDr., CSc.Vanko Gabriel, Ing., PhD.Vargic Radoslav, Ing., PhD.Váry Michal, doc. Ing., PhD.Veselý Vojtech, prof. Ing., DrSc.Vojenčiak Michal, Ing., PhD.Vojs Marian, Ing., PhD.Vojvoda Milan, doc. Ing., PhD.Vrban Branislav, Ing., PhD.Weis Martin, doc. Ing., DrSc.Witkovský Viktor, doc. RNDr., CSc.Zajac Pavol, prof. Ing., PhD.Zákopčan Michal, Mgr., PhD.Zaťko Bohumír, Mgr., PhD.Zuščak Jozef, Ing.Žáková Katarína, doc. Ing., PhD.
23. BT Analysis of front wing characteristics Gálik, G. Institute of Automotive Mechatronics (FEEIT) B-AM FEEIT 1 / -- Kysela, E.
28. DT Analysis of defects in semiconductor structures by deep level spectroscopy Stuchlíková, Ľ. Institute of Electronics and Phototonics (FEEIT) I-EN FEEIT 1 / -- Kraus, J.
29. BT Analysis of Consumption and Power Quality in Distribution of Administrative Building Cintula, B. Institute of Power and Applied Electrical Engineering (FEEIT) B-ENE FEEIT 1 / 1 Murín, M.
31. DT Analysis of material structure using micro-Raman microscope Kováč, J. Institute of Electronics and Phototonics (FEEIT) I-EN FEEIT 1 / 1 Vincze, T.
32. BT Thermal embrittlement of high-chromium steels for advanced nuclear reactors Kršjak, V. Institute of Nuclear and Physical Engineering (FEEIT) B-JFI FEEIT 1 / -- Kubiritová, A.
33. DT Analysys of temperature distribution of power devices dies using thermocamera Kováč, J. Institute of Electronics and Phototonics (FEEIT) I-EN FEEIT 1 / 1 Vančo, M.
35. BT Analysis of the meteorological effects occurring in higher atmospheric layers on satellite transmission Rakús, M. Institute of Multimedia Information and Communication Technologies (FEEIT) B-TLK FEEIT 1 / 1 Jády, T.
39. BT Android application for editing text files Képešiová, Z. Institute of Automotive Mechatronics (FEEIT) B-API B-API-BIS, B-API-MSUS FEEIT 1 / 1 Tsurikova, I.
40. BT Android application focused on creating, managing and communicating of a group of users Képešiová, Z. Institute of Computer Science and Mathematics (FEEIT) B-API FEEIT 1 / 1 Vons, M.
41. BT Android application for academic information system Képešiová, Z. Institute of Automotive Mechatronics (FEEIT) B-API FEEIT 1 / 1 Lehocký, K.
42. BT Android app to support medical treatment Képešiová, Z. Institute of Computer Science and Mathematics (FEEIT) B-API FEEIT 1 / 1 Števo, M.
43. BT Android application focused on communication between users Képešiová, Z. Institute of Automotive Mechatronics (FEEIT) B-API FEEIT 1 / 1 Lachkovič, O.
44. BT Data anonymization in relational databases of integrated test environment Vojvoda, M. Institute of Computer Science and Mathematics (FEEIT) B-API FEEIT 1 / 1 Bagar, P.
45. BT Application for monitoring and analysis of DLTFS measurements Kósa, A. Institute of Electronics and Phototonics (FEEIT) B-API FEEIT 1 / 2 Hristov, I.
46. BT Application platform Bittera, M. Institute of Electrical Engineering (FEEIT) B-ET FEEIT 1 / 1 Kubík, M.
48. BT Automatic service scaling Šrámka, M. Institute of Computer Science and Mathematics (FEEIT) B-API FEEIT 1 / 1 Michalko, M.
50. BT Automatic check and correction of RTL coding style Kohútka, L. Institute of Computer Science and Mathematics (FEEIT) B-API FEEIT 1 / -- Kuťka, D.
55. BT Automatic irrigation system Kľúčik, M. Institute of Robotics and Cybernetics (FEEIT) B-API FEEIT 1 / -- Orlický, L.
58. BT Automation of a workplace in LabView program environment Kováč, J. Institute of Electronics and Phototonics (FEEIT) B-ELN FEEIT 1 / 2 Hrubišák, F.
59. DT Autonomous controll of information panels Rodina, J. Institute of Robotics and Cybernetics (FEEIT) I-RK FEEIT 1 / -- Jedinák, J.
61. DT Automatic generation of application interface in process oriented systems Juhás, G. Institute of Computer Science and Mathematics (FEEIT) I-API I-API-MSUS FEEIT 1 / -- Kubričan, J.
62. BT Automated workplace for measurement of amplitude-frequency characteristics Hallon, J. Institute of Electrical Engineering (FEEIT) B-ET FEEIT 1 / 1 Novotný, L.
63. BT Automatic processing and evalutation of car braking measurement Ťapák, P. Institute of Computer Science and Mathematics (FEEIT) B-API FEEIT 1 / -- Cicanič, J.
65. DT SMART sensor systems Vojs, M. Institute of Electronics and Phototonics (FEEIT) I-EN FEEIT 1 / 2 Macák, J.
66. DT Automated blinds control system Rodina, J. Institute of Robotics and Cybernetics (FEEIT) I-RK FEEIT 1 / -- Jánoška, T.
68. DT Autonomous vehicle in virtual world Bisták, P. Institute of Automotive Mechatronics (FEEIT) I-AME FEEIT 1 / -- Halač, Ľ.
76. DT Centralized management of information communication networks and services Medvecký, M. Institute of Multimedia Information and Communication Technologies (FEEIT) I-MIKT FEEIT 1 / 1 Hrivíková, K.
79. DT Cloud Computing Baroňák, I. Institute of Multimedia Information and Communication Technologies (FEEIT) I-MIKT FEEIT 1 / 1 Závody, L.
80. BT Timekeeper for fire sport Mierka, M. Institute of Electrical Engineering (FEEIT) B-ET FEEIT 1 / 1 Kučera, J.
81. BT Android PDF eBook reader Leskovský, R. Institute of Computer Science and Mathematics (FEEIT) B-API B-API-MSUS FEEIT 1 / -- Bátor, K.
85. DT Decoding using the DOOM method Fabšič, T. Institute of Computer Science and Mathematics (FEEIT) I-API I-API-BIS FEEIT 1 / -- Furičková, N.
86. DT Network security and the demilitarized zone Klučik, S. Institute of Multimedia Information and Communication Technologies (FEEIT) I-MIKT FEEIT 1 / 1 Karak, J.
87. DT Decryption in the LEDApkc cryptosystem Fabšič, T. Institute of Computer Science and Mathematics (FEEIT) I-API I-API-BIS FEEIT 1 / 1 Karásek, J.
88. DT Detecting significant facial features or supplements Sopiak, D. Institute of Computer Science and Mathematics (FEEIT) I-API FEEIT 1 / 1 Lukáč, M.
94. DT Edge detection in images Hagara, M. Institute of Electronics and Phototonics (FEEIT) I-EN FEEIT 3 / -- Halaj, V.
95. DT Detekcia kognitívnej poruchy Polec, J. Institute of Multimedia Information and Communication Technologies (FEEIT) I-MIKT FEEIT 1 / 1 Krbaťa, J.
96. DT Image quality detection Sopiak, D. Institute of Computer Science and Mathematics (FEEIT) I-API FEEIT 1 / -- Vizváry, L.
97. BT Image quality detection 1 Sopiak, D. Institute of Computer Science and Mathematics (FEEIT) B-API FEEIT 1 / -- Blaščák, A.
98. DT Object detection in a Point cloud Dekan, M. Institute of Robotics and Cybernetics (FEEIT) I-RK FEEIT 1 / -- Cánik, R.
99. BT Detecting of hand movement features for Parkinson disease diagnosis Kajan, S. Institute of Robotics and Cybernetics (FEEIT) B-API FEEIT 1 / 1 Ondreáková, A.
100. BT Image blur detection Bukovčiková, Z. Institute of Computer Science and Mathematics (FEEIT) B-API FEEIT 1 / 1 Janík, M.
108. DT Insulation system diagnostics of selected high-voltage devices Kment, A. Institute of Power and Applied Electrical Engineering (FEEIT) I-ENE FEEIT 1 / -- Šidla, I.
111. BT Digital phase-shift indicator Jančárik, V. Institute of Electrical Engineering (FEEIT) B-ET FEEIT 1 / 1 Valach, O.
112. DT Discovery tool - Identification of devices in corporate infrastructure Orgoň, M. Institute of Multimedia Information and Communication Technologies (FEEIT) I-MIKT FEEIT 1 / 1 Katana, F.
114. DT Home security system Hubinský, P. Institute of Robotics and Cybernetics (FEEIT) I-RK FEEIT 1 / 1 Ragačová, L.
115. BT Dynamic Vehicle Suspension Analysis Kutiš, V. Institute of Automotive Mechatronics (FEEIT) B-AM FEEIT 1 / 1 Záňová, Z.
116. BT Dynamic analysis using ontology Balogh, Š. Institute of Computer Science and Mathematics (FEEIT) B-API FEEIT 1 / -- Kubica, O.
122. BT Satellite Dynamics and Control Kutiš, V. Institute of Automotive Mechatronics (FEEIT) B-AM FEEIT 1 / 1 Žabka, J.
125. DT Efficient searching in finance data Drozda, M. Institute of Computer Science and Mathematics (FEEIT) I-API FEEIT 1 / 1 Martiška, M.
135. BT Energetic demands of electromobiles Paulech, J. Institute of Automotive Mechatronics (FEEIT) B-AM FEEIT 1 / -- Oydasik, D.
137. DT Electronic Diabetic Diary Tárník, M. Institute of Robotics and Cybernetics (FEEIT) I-RK FEEIT 1 / 1 Vančíková, D.
141. DT Energy Certification of Buildings and Project Assessment Raditschová, J. Institute of Power and Applied Electrical Engineering (FEEIT) I-ENE I-ENE-EE, I-ENE-ST FEEIT 2 / -- Kajan, J.
147. DT Experimentation with robotic arm Žáková, K. Institute of Automotive Mechatronics (FEEIT) I-AME FEEIT 2 / -- Jančík, F.
151. BT FFT sound analyser Bittera, M. Institute of Electrical Engineering (FEEIT) B-ET FEEIT 1 / 1 Jánošík, M.
153. BT ORGANIC MATERIALS-BASED FLEXIBLE SENSORS Weis, M. Institute of Electronics and Phototonics (FEEIT) B-ELN FEEIT 1 / -- Vardžák, A.
154. BT FM radio transmitter Harťanský, R. Institute of Electrical Engineering (FEEIT) B-ET FEEIT 1 / 1 Dzuriš, M.
155. DT Fuzzy Control of Laboratory ABS system Rosinová, D. Institute of Automotive Mechatronics (FEEIT) I-AME FEEIT 1 / 1 Synak, S.
156. DT MRHS equation generator Zajac, P. Institute of Computer Science and Mathematics (FEEIT) I-API I-API-BIS FEEIT 1 / -- Kabashi, F.
158. DT Generation of the human face image using artificial neural network Sekaj, I. Institute of Robotics and Cybernetics (FEEIT) I-RK FEEIT 1 / 1 Ubreži, S.
161. BT Graphical plotting of data from serial bus Sojka, A. Institute of Robotics and Cybernetics (FEEIT) B-RK FEEIT 1 / 1 Hamran, M.
166. DT Quasigroup searching for cryptographic purposes Vojvoda, M. Institute of Computer Science and Mathematics (FEEIT) I-API FEEIT 1 / 1 Minčev, M.
170. BT Assessment of Energy Performance of Lighting Raditschová, J. Institute of Power and Applied Electrical Engineering (FEEIT) B-ENE FEEIT 1 / 1 Sivák, M.
173. BT Evaluation of the operation of a small photovoltaic grid connected system Váry, M. Institute of Power and Applied Electrical Engineering (FEEIT) B-ENE FEEIT 1 / 1 Bílik, M.
175. BT Honeypot Šrámka, M. Institute of Computer Science and Mathematics (FEEIT) B-API B-API-BIS FEEIT 1 / 1 Sobanský, M.
177. DT Hyper-encryption Vojvoda, M. Institute of Computer Science and Mathematics (FEEIT) I-API FEEIT 1 / 1 Neupauer, D.
182. DT Characterization of podern semiconductor structures and devices using electrical and optical methods Kováč, J. Institute of Electronics and Phototonics (FEEIT) I-EN FEEIT 2 / 3 Hausner, M.
183. BT Chat app Drozda, M. Institute of Computer Science and Mathematics (FEEIT) B-API FEEIT 1 / 1 Czerwinski, G.
189. BT Vowel identification methods Antal, E. Institute of Computer Science and Mathematics (FEEIT) B-API FEEIT 1 / -- Firča, M.
193. BT Implementation of a intelligent energy metering module control Brenkuš, J. Institute of Electronics and Phototonics (FEEIT) B-API B-API-BIS, B-API-ITVEL, B-API-ITVEN, B-API-ITVR, B-API-MSUS FEEIT 1 / 1 Hodor, T.
196. DT Implementation of smart charging system for wearable devices Kuzma, A. Institute of Electronics and Phototonics (FEEIT) I-EN FEEIT 1 / 1 Bančák, Ľ.
199. BT Information system for data processing from environmental pollution sensors Vojs, M. Institute of Electronics and Phototonics (FEEIT) B-API FEEIT 1 / 4 Balla, M.
203. BT Integration of static and dynamic tools for program analysis Balogh, Š. Institute of Computer Science and Mathematics (FEEIT) B-API FEEIT 1 / -- Hrubý, M.
207. DT Intelligent Inventory Information System Bittera, M. Institute of Electrical Engineering (FEEIT) I-API FEEIT 1 / 1 Chovanec, V.
208. DT Intelligent Bluetooth-based communication system on Android Bucz, Š. Institute of Computer Science and Mathematics (FEEIT) I-API I-API-MSUS FEEIT 2 / -- Román, R.
215. BT Interactive animations based on object-oriented programming Stuchlíková, Ľ. Institute of Computer Science and Mathematics (FEEIT) B-API FEEIT 1 / -- Šuhajdová, D.
216. BT Interactive model of the thermo-optical system Matišák, J. Institute of Computer Science and Mathematics (FEEIT) B-API B-API-MSUS FEEIT 1 / -- Podroužek, M.
221. DT Driving simulator for measurment of driver responses in coexistence with platoons of autonomous vehicles Bisták, P. Institute of Computer Science and Mathematics (FEEIT) I-API I-API-MSUS FEEIT 1 / -- Mochnacký, M.
225. DT Deep Learning Based Classification of Retinal Images Pavlovičová, J. Institute of Robotics and Cybernetics (FEEIT) I-API FEEIT 1 / -- Marko, M.
229. DT Complex system for the performance of immunity test for continuous interference Hallon, J. Institute of Electrical Engineering (FEEIT) I-API FEEIT 1 / 1 Šefčík, I.
231. BT Communication between 3D engine and simulation environment Matišák, J. Institute of Computer Science and Mathematics (FEEIT) B-API B-API-MSUS FEEIT 1 / 1 Milán, P.
234. BT Communicative technologies for automotive Baroňák, I. Institute of Multimedia Information and Communication Technologies (FEEIT) B-TLK FEEIT 2 / 1 Krajčovič, O.
235. BT Configuring IoT networks Páleník, T. Institute of Multimedia Information and Communication Technologies (FEEIT) B-TLK FEEIT 1 / 1 Škorec, F.
237. DT Quality control of production process Duchoň, F. Institute of Robotics and Cybernetics (FEEIT) I-RK FEEIT 1 / -- Harman, P.
239. DT Microprocessor controlled audio equalizer Kubinec, P. Institute of Electronics and Phototonics (FEEIT) I-EN FEEIT 1 / 1 Chano, A.
246. DT LED fixture for solar cells effectivity measurement Kováč, J. Institute of Electronics and Phototonics (FEEIT) I-EN FEEIT 1 / 1 Kázmér, D.
247. BT Autonomous vehicle localization and navigation Kozáková, A. Institute of Automotive Mechatronics (FEEIT) B-AM FEEIT 1 / 1 Paulen, R.
255. DT Change management of versioned Petri net processes Juhás, G. Institute of Computer Science and Mathematics (FEEIT) I-API FEEIT 1 / -- Gburík, M.
260. BT Mathematical methods used in electrical power engineering Cenký, M. Institute of Power and Applied Electrical Engineering (FEEIT) B-ENE FEEIT 1 / 1 Rekić, A.
262. BT - Eleschová, Ž. Institute of Power and Applied Electrical Engineering (FEEIT) B-ENE FEEIT 1 / -- Roháč, F.
264. BT Mechatronic system for supercharging of petrol engine Osuský, J. Institute of Automotive Mechatronics (FEEIT) B-AM FEEIT 1 / 1 Elek, M.
265. BT MEMS motion sensors Balogh, R. Institute of Automotive Mechatronics (FEEIT) B-AM FEEIT 1 / -- Sulčan, M.
271. BT Measurement of Power Quality in Biogas Power Plant Cintula, B. Institute of Power and Applied Electrical Engineering (FEEIT) B-ENE FEEIT 1 / 1 Ohlas, A.
278. DT EM analysis of piezoelectric energy harvesting systems in program ANSYS Kutiš, V. Institute of Automotive Mechatronics (FEEIT) I-AME FEEIT 1 / 1 Vincze, M.
279. BT mobileSQM Mažári, J. Institute of Computer Science and Mathematics (FEEIT) B-API FEEIT 1 / -- Baláž, V.
280. DT Android application for displaying mechatronic vehicle parameters transmitted via micro USB, Bluetooth Fuchs, P. Institute of Automotive Mechatronics (FEEIT) I-API FEEIT 2 / -- Biely, M.
282. DT SMART sensor systems Vojs, M. Institute of Electronics and Phototonics (FEEIT) I-EN FEEIT 2 / 2 Vrška, M.
287. DT Vehicle Convoy Modeling and Control Bisták, P. Institute of Automotive Mechatronics (FEEIT) I-AME FEEIT 1 / -- Melo, D.
289. DT Modeling and Simulation of Distributed Control System on TTEthernet Base Bisták, P. Institute of Automotive Mechatronics (FEEIT) I-AME FEEIT 1 / -- Karcol, L.
292. DT Modelling and Control of Vehicle Subsystems in Matlab Rosinová, D. Institute of Automotive Mechatronics (FEEIT) I-AME FEEIT 2 / 2 Lelkes, A.
299. DT Modeling of cooling of storage cask in dry interim storage Kutiš, V. Institute of Automotive Mechatronics (FEEIT) I-JFI FEEIT 1 / 1 Sobolčiak, T.
302. DT Modeling the energy consumption of a robot using a neural network Komák, M. Institute of Robotics and Cybernetics (FEEIT) I-RK FEEIT 1 / 1 Kukučková, M.
303. DT Modeling of electrical activity propagation in the heart ventricles Cocherová, E. Institute of Electronics and Phototonics (FEEIT) I-EN FEEIT 1 / -- Hájovský, M.
304. DT Modern Retail Lighting Raditschová, J. Institute of Power and Applied Electrical Engineering (FEEIT) I-ENE I-ENE-EE, I-ENE-ST FEEIT 1 / -- Soroka, K.
306. BT Monitoring station of the X-ray diffraction laboratory Novák, P. Institute of Nuclear and Physical Engineering (FEEIT) B-API FEEIT 1 / 1 Gunár, P.
307. DT Monitoring interior lighting system by intelligent installation Janiga, P. Institute of Power and Applied Electrical Engineering (FEEIT) I-ENE I-ENE-EE, I-ENE-ST FEEIT 1 / -- Janovský, J.
308. DT Monitoring the operation of public lighting Janiga, P. Institute of Power and Applied Electrical Engineering (FEEIT) I-ENE I-ENE-EE, I-ENE-ST FEEIT 1 / 1 Regec, P.
314. DT Multiagent system in an Industry environmnet Dekan, M. Institute of Robotics and Cybernetics (FEEIT) I-RK FEEIT 1 / -- Hažík, J.
316. BT - Eleschová, Ž. Institute of Power and Applied Electrical Engineering (FEEIT) B-ENE FEEIT 1 / -- Czerovský, O.
318. DT Voltage Collapse in Power Systems Eleschová, Ž. Institute of Power and Applied Electrical Engineering (FEEIT) I-ENE FEEIT 1 / 1 Ürge, P.
319. DT Indoor car model navigation. Ťapák, P. Institute of Automotive Mechatronics (FEEIT) I-AME FEEIT 1 / 2 Hutár, M.
320. DT Indoor and outdoor car model navigation. Ťapák, P. Institute of Automotive Mechatronics (FEEIT) I-AME FEEIT 1 / -- Supek, M.
321. DT Robot Using General Marks for Navigation Chovanec, Ľ. Institute of Robotics and Cybernetics (FEEIT) I-RK FEEIT 1 / -- Dano, D.
326. BT Control design and application for high bay warehaus Osuský, J. Institute of Automotive Mechatronics (FEEIT) B-AM FEEIT 1 / 1 Balko, Š.
331. DT Design of on-chip switching convertor Arbet, D. Institute of Electronics and Phototonics (FEEIT) I-EN FEEIT 1 / 1 Ondica, R.
332. BT Proposal of an open-source academic information system Stark, E. Institute of Computer Science and Mathematics (FEEIT) B-API B-API-MSUS FEEIT 1 / 1 Schlentc, F.
333. DT Design of algorithm for low power sensoric system Jagelka, M. Institute of Electronics and Phototonics (FEEIT) I-API I-API-MSUS FEEIT 1 / -- Džadoň, T.
334. DT Design of an algorithm to predict damage to crops Jagelka, M. Institute of Electronics and Phototonics (FEEIT) I-API I-API-MSUS FEEIT 1 / -- Dačo, P.
335. BT Application design for remote management of IoT devices' firmware Brenkuš, J. Institute of Electronics and Phototonics (FEEIT) B-API B-API-BIS, B-API-ITVEL, B-API-ITVEN, B-API-ITVR, B-API-MSUS FEEIT 1 / 1 Macák, N.
336. DT Design and preparation of test equipment for electrostatic (ESD) protective structures Chvála, A. Institute of Electronics and Phototonics (FEEIT) I-EN FEEIT 1 / 1 Kobulnický, P.
338. DT Design and implementation of a compression algorithm for data from a positioning device Jagelka, M. Institute of Electronics and Phototonics (FEEIT) I-API I-API-BIS, I-API-ITVR, I-API-MSUS FEEIT 1 / -- Rajnič, F.
339. BT Design of test circuit for Short circuit testing of power transistors Marek, J. Institute of Electronics and Phototonics (FEEIT) B-ELN FEEIT 1 / 1 Forgáč, M.
343. DT HMI for modern embedded platforms with main focus on SCADA applications and building of operating system Slačka, J. Institute of Robotics and Cybernetics (FEEIT) I-RK FEEIT 1 / 1 Irha, M.
345. DT Design of a DC/DC converter for low power applications Brenkuš, J. Institute of Electronics and Phototonics (FEEIT) I-EN FEEIT 1 / 1 Haraslín, L.
346. DT Design of digital control of maximum power point tracking for energy harvesters on chip. Nagy, L. Institute of Electronics and Phototonics (FEEIT) I-EN FEEIT 1 / 1 Hudec, A.
347. BT Design of a power plant in a selected location Pípa, M. Institute of Power and Applied Electrical Engineering (FEEIT) B-ENE FEEIT 2 / -- Volek, M.
352. BT Design of physical model of pumped storage hydroelectric power plant Pípa, M. Institute of Power and Applied Electrical Engineering (FEEIT) B-ENE FEEIT 1 / -- Póda, V.
353. DT Haptic controller design for mobile robot control Hubinský, P. Institute of Robotics and Cybernetics (FEEIT) I-RK FEEIT 1 / 1 Granát, M.
354. BT Design of IC for energy autonoumous systems Arbet, D. Institute of Electronics and Phototonics (FEEIT) B-ELN FEEIT 1 / 1 Železňáková, A.
355. DT Design of cogeneration unit Pípa, M. Institute of Power and Applied Electrical Engineering (FEEIT) I-ENE FEEIT 1 / -- Kokosík, M.
357. DT Design of driver for magnetic measurement Jančárik, V. Institute of Electrical Engineering (FEEIT) I-AE FEEIT 1 / 1 Haluška, J.
358. DT Design of access control method in IMS networks Baroňák, I. Institute of Multimedia Information and Communication Technologies (FEEIT) I-MIKT FEEIT 1 / 1 Šindler, M.
360. BT Design of mobile application using Cloud infrastructure and API Stark, E. Institute of Computer Science and Mathematics (FEEIT) B-API B-API-MSUS FEEIT 1 / 1 Babuščák, P.
361. DT Design of neural network for prediction of financial market development Komák, M. Institute of Robotics and Cybernetics (FEEIT) I-RK FEEIT 1 / 1 Kolárska, M.
365. DT Design of user interface for searching in financial data Drozda, M. Institute of Computer Science and Mathematics (FEEIT) I-API FEEIT 1 / 1 Lovász, M.
367. DT Model Predictive Control Design for Van Vusse Continuous Chemical Reaction Model Paulusová, J. Institute of Robotics and Cybernetics (FEEIT) I-RK FEEIT 1 / 1 Greguš-Kohút, J.
379. DT Design of network infrastructure for a medium-sized branch Orgoň, M. Institute of Multimedia Information and Communication Technologies (FEEIT) I-MIKT FEEIT 1 / 1 Krošlák, M.
380. DT Design of the Ultra-Low Voltage Sigma-Delta Converter in CMOS nanotechnology Arbet, D. Institute of Electronics and Phototonics (FEEIT) I-EN FEEIT 1 / 1 Maljar, D.
381. DT Design, simulation and implementation of the IIoT (Industrial Internet of Things) Bisták, P. Institute of Automotive Mechatronics (FEEIT) I-AME FEEIT 2 / -- Križan, G.
382. DT Design of a System for Charging and Testing Batteries Chovanec, Ľ. Institute of Robotics and Cybernetics (FEEIT) I-RK FEEIT 1 / -- Szitás, K.
383. DT Design of PCB test board for ultra-low voltage ICs Kováč, M. Institute of Electronics and Phototonics (FEEIT) I-EN FEEIT 1 / 1 Ravasz, R.
384. BT Design of digital gates layout in nanoscale CMOS technology Nagy, L. Institute of Electronics and Phototonics (FEEIT) B-ELN FEEIT 1 / 2 Čatloš, M.
387. DT Lighting design of indoor smart lighting systems Dubnička, R. Institute of Power and Applied Electrical Engineering (FEEIT) I-ENE I-ENE-EE, I-ENE-ST FEEIT 1 / 1 Grigeľ, J.
390. BT Design of a secured acquisition point for wireless IoT networks Brenkuš, J. Institute of Electronics and Phototonics (FEEIT) B-API B-API-BIS, B-API-ITVEL, B-API-ITVEN, B-API-ITVR, B-API-MSUS FEEIT 1 / 1 Georgiev, G.
391. DT Network infrastructure security design for a medium-sized company Orgoň, M. Institute of Multimedia Information and Communication Technologies (FEEIT) I-MIKT FEEIT 1 / 1 Köppl, M.
394. DT Nonlinear control of magentic levitation model Ernek, M. Institute of Robotics and Cybernetics (FEEIT) I-RK FEEIT 1 / 1 Jakubička, M.
403. DT New approaches for gas detection using metal oxide based sensors Mikolášek, M. Institute of Electronics and Phototonics (FEEIT) I-EN FEEIT 1 / 2 Tomka, S.
411. DT Obnoviteľné zdroje energie – zdroj odchýlok v sieti Beláň, A. Institute of Power and Applied Electrical Engineering (FEEIT) I-ENE FEEIT 1 / 1 Kurcz, J.
412. BT Image deblurring Bukovčiková, Z. Institute of Computer Science and Mathematics (FEEIT) B-API FEEIT 1 / 1 Zvarová, K.
421. BT Online textbook for mechanics teaching based on modern web technologies Leskovský, R. Institute of Computer Science and Mathematics (FEEIT) B-API B-API-MSUS FEEIT 1 / -- Hricka, E.
423. BT The ontology model for the security domain Balogh, Š. Institute of Computer Science and Mathematics (FEEIT) B-API FEEIT 1 / -- Hurtiš, L.
424. DT Optical Defects Detection on Formed Parts in Conditions of Manufacturing in Volkswagen a.s. Pavlovičová, J. Institute of Robotics and Cybernetics (FEEIT) I-RK FEEIT 1 / -- Tomíková, L.
428. BT Battery Management System Functionality Optimisation Baťa, M. Institute of Automotive Mechatronics (FEEIT) B-AM FEEIT 1 / 1 Sedláček, M.
432. BT Project scheduling optimization Rosinová, D. Institute of Automotive Mechatronics (FEEIT) B-AM FEEIT 1 / 1 Kubjatko, R.
434. DT Optimization of material flow in industrial warehouses Cigánek, J. Institute of Automotive Mechatronics (FEEIT) I-AME FEEIT 1 / 2 Žemla, F.
442. DT Control and monitoring of IoT devices using mixed reality Kučera, E. Institute of Automotive Mechatronics (FEEIT) I-AME FEEIT 1 / 1 Zaujec, P.
443. BT Intelligent home control via web application Matišák, J. Institute of Computer Science and Mathematics (FEEIT) B-API B-API-MSUS FEEIT 1 / 1 Chalupková, Z.
446. DT Personalized process based assistant of a student Juhás, G. Institute of Computer Science and Mathematics (FEEIT) I-API I-API-MSUS FEEIT 1 / -- Kovár, A.
449. DT PLC systems for Industry 4.0 Drahoš, P. Institute of Automotive Mechatronics (FEEIT) I-AME FEEIT 1 / 1 Kostrej, M.
454. BT Programming 1 course support Vojvoda, M. Institute of Computer Science and Mathematics (FEEIT) B-API FEEIT 1 / 1 Opavski, J.
455. BT Programming 2 course support Vojvoda, M. Institute of Computer Science and Mathematics (FEEIT) B-API FEEIT 1 / 1 Kucsera, S.
456. BT Advanced mechanisms of IPv6 Páleník, T. Institute of Multimedia Information and Communication Technologies (FEEIT) B-TLK FEEIT 1 / 1 Kyselý, R.
457. DT Advanced mechanisms of IPv6 Páleník, T. Institute of Multimedia Information and Communication Technologies (FEEIT) I-MIKT FEEIT 1 / 1 Kabašta, P.
459. DT Position control for stabilizing the swing arm Goga, V. Institute of Automotive Mechatronics (FEEIT) I-AME FEEIT 1 / 1 Sklenár, F.
466. DT Post-quantum signature scheme based on AES Zajac, P. Institute of Computer Science and Mathematics (FEEIT) I-API I-API-BIS FEEIT 1 / -- Jahodka, D.
468. DT Use of a smart gripper in a normal environment and risk analysis using a standard robot gripper Duchoň, F. Institute of Robotics and Cybernetics (FEEIT) I-RK FEEIT 1 / -- Žiak, M.
471. DT Preampflier for the phono cartridge with RIAA equalization Kubinec, P. Institute of Electronics and Phototonics (FEEIT) I-EN FEEIT 1 / 1 Kováč, B.
472. BT Tag based file system explorer Mladoniczky, M. Institute of Computer Science and Mathematics (FEEIT) B-API B-API-MSUS FEEIT 1 / -- Ševec, M.
476. DT Connection of Internet of Things with mixed reality Haffner, O. Institute of Automotive Mechatronics (FEEIT) I-AME FEEIT 1 / 1 Šuba, P.
478. BT Presentation web of research group Mažári, J. Institute of Computer Science and Mathematics (FEEIT) B-API B-API-MSUS FEEIT 1 / -- Palaj, S.
483. DT Preparation and characterisation of structures with metal oxides for photo-electrochemical hydrogen generation Mikolášek, M. Institute of Electronics and Phototonics (FEEIT) I-EN FEEIT 1 / 2 Meri, J.
485. BT Preparation and characterization of thin films using FIB technique Ballo, P. Institute of Nuclear and Physical Engineering (FEEIT) B-JFI B-JFI-FI, B-JFI-JI FEEIT 1 / 1 Došenović, Đ.
487. BT Programmable amplifier Jančárik, V. Institute of Electrical Engineering (FEEIT) B-ET FEEIT 1 / 1 Wangui, E.
491. DT Anti slip electric car regulation. Ťapák, P. Institute of Automotive Mechatronics (FEEIT) I-AME FEEIT 1 / -- Haluška, M.
492. BT MQTT protocol for Internet of Things Kučera, E. Institute of Automotive Mechatronics (FEEIT) B-AM FEEIT 1 / -- Čikel, A.
493. BT NETCONF protocol Medvecký, M. Institute of Multimedia Information and Communication Technologies (FEEIT) B-TLK FEEIT 1 / 1 Šalapa, L.
496. BT Raspberry Pi as a data presentation system Harťanský, R. Institute of Electrical Engineering (FEEIT) B-ET FEEIT 1 / 1 Švajka, J.
502. DT Model order reduction of structures Kutiš, V. Institute of Automotive Mechatronics (FEEIT) I-AME FEEIT 1 / 1 Méhes, Á.
503. DT Control of load mechanism using PLC system Goga, V. Institute of Automotive Mechatronics (FEEIT) I-AME FEEIT 1 / 1 Kudri, M.
504. DT Reconstruction of a binary vector from its distance spectrum using the notion of "distance reliabilty" Fabšič, T. Institute of Computer Science and Mathematics (FEEIT) I-API I-API-BIS FEEIT 1 / -- Jozeková, I.
506. BT RFID scanning device Harťanský, R. Institute of Electrical Engineering (FEEIT) B-ET FEEIT 1 / -- Traj, J.
507. DT Control of high bay warehous with human machine interface using PLC Osuský, J. Institute of Automotive Mechatronics (FEEIT) I-AME FEEIT 1 / 1 Kubala, M.
508. DT DC=DC convertors control for emoébility applications Huba, M. Institute of Automotive Mechatronics (FEEIT) I-AME FEEIT 1 / -- Špaček, L.
510. BT Control of DC motor built-up on Arduino platform Hypiusová, M. Institute of Automotive Mechatronics (FEEIT) B-AM FEEIT 1 / -- Buday, T.
513. BT Stepper Motor Control Dúbravský, J. Institute of Robotics and Cybernetics (FEEIT) B-RK FEEIT 1 / 1 Slobodník, M.
518. DT Laboratory Crane Control Rosinová, D. Institute of Automotive Mechatronics (FEEIT) I-AME FEEIT 1 / 1 Antal, P.
520. DT Mobile robot control using brain EEG signals Hubinský, P. Institute of Robotics and Cybernetics (FEEIT) I-RK FEEIT 1 / 1 Polák, D.
521. BT Electric car model control Ťapák, P. Institute of Automotive Mechatronics (FEEIT) B-AM FEEIT 1 / -- Ürge, A.
528. DT Servo system control using gestures Körösi, L. Institute of Robotics and Cybernetics (FEEIT) I-RK FEEIT 1 / -- Varga, D.
531. DT Control System Based on ARM processor Miklovičová, E. Institute of Robotics and Cybernetics (FEEIT) I-RK FEEIT 1 / 1 Dodek, M.
532. BT Control system for robots in agriculture Kľúčik, M. Institute of Robotics and Cybernetics (FEEIT) B-API FEEIT 1 / 1 Čobrda, D.
539. DT Rotation distance of binary trees Vojvoda, M. Institute of Computer Science and Mathematics (FEEIT) I-API FEEIT 1 / 1 Stanko, T.
542. BT Differences in OpenFlow versions and their current support in SDN devices Medvecký, M. Institute of Multimedia Information and Communication Technologies (FEEIT) B-TLK FEEIT 1 / 1 Šteflík, D.
544. DT Recognition of geographical marks at image Sopiak, D. Institute of Computer Science and Mathematics (FEEIT) I-API FEEIT 1 / 1 Vasiľ, M.
545. DT Recognition of road marks using machine vision. Haffner, O. Institute of Automotive Mechatronics (FEEIT) I-AME FEEIT 1 / 1 Moravčík, R.
546. DT recognition of neurological diseases using neural networks Kajan, S. Institute of Robotics and Cybernetics (FEEIT) I-RK FEEIT 1 / 1 Ďurkovič, D.
547. DT Object recognition by aggregating of information from multiple scene perspectives using machine learning procedures Duchoň, F. Institute of Robotics and Cybernetics (FEEIT) I-API FEEIT 1 / -- Grác, Š.
548. DT Object recognition in video Sopiak, D. Institute of Computer Science and Mathematics (FEEIT) I-API FEEIT 1 / -- Sahul, D.
551. BT CrypTool Enhancement Vojvoda, M. Institute of Computer Science and Mathematics (FEEIT) B-API FEEIT 1 / 1 Jakabovič, J.
553. DT Rapidly quenched Fe-Sn-B systems with high saturation magnetization Miglierini, M. Institute of Nuclear and Physical Engineering (FEEIT) I-JFI FEEIT 1 / 2 Fos, A.
557. DT Sensor subsystem for mobile platform Balogh, R. Institute of Robotics and Cybernetics (FEEIT) I-RK FEEIT 1 / -- Bujna, R.
558. BT Sensor MESH networks and its use Balogh, R. Institute of Automotive Mechatronics (FEEIT) B-AM FEEIT 1 / -- Mach, J.
562. BT Process performance analysis server Mažári, J. Institute of Computer Science and Mathematics (FEEIT) B-API B-API-MSUS FEEIT 1 / -- Miklovič, M.
563. BT Process operational support server Mažári, J. Institute of Computer Science and Mathematics (FEEIT) B-API B-API-MSUS FEEIT 1 / -- Rezák, L.
566. BT Li-Fi networks Baroňák, I. Institute of Multimedia Information and Communication Technologies (FEEIT) B-TLK FEEIT 1 / 1 Szitkey, V.
567. BT Simatic IOT 2040: Internet of things for Industry Mrafko, L. Institute of Robotics and Cybernetics (FEEIT) B-RK FEEIT 1 / 1 Levarski, R.
568. DT Simulation and modeling of electrical properties of semiconductor devices Chvála, A. Institute of Electronics and Phototonics (FEEIT) I-EN FEEIT 1 / 2 Potoma, P.
574. DT Electronic parking brake simulator synchronized with video projection Paulech, J. Institute of Automotive Mechatronics (FEEIT) I-AME FEEIT 1 / 1 Tiffingerová, B.
576. DT aaa Nečas, V. Institute of Nuclear and Physical Engineering (FEEIT) I-JFI FEEIT 1 / 1 Myslík, M.
578. BT - Eleschová, Ž. Institute of Power and Applied Electrical Engineering (FEEIT) B-ENE FEEIT 1 / 1 Ludva, M.
586. DT Face tracking on video Sopiak, D. Institute of Computer Science and Mathematics (FEEIT) I-API FEEIT 1 / -- Lorenc, L.
587. BT Solar cells and modules as a building component Šály, V. Institute of Power and Applied Electrical Engineering (FEEIT) B-ENE FEEIT 1 / 1 Hudec, B.
589. BT Presence service on IMS networks Baroňák, I. Institute of Multimedia Information and Communication Technologies (FEEIT) B-TLK FEEIT 1 / 1 Drugaj, M.
590. BT Smart Cities - A system for identifying parking places for motor vehicles in urban areas Bendík, J. Institute of Power and Applied Electrical Engineering (FEEIT) B-API FEEIT 1 / -- Kubuš, M.
591. DT Measurement of muscular activity on the Arduino platform and its use to control the application Bisták, P. Institute of Automotive Mechatronics (FEEIT) I-AME FEEIT 1 / -- Furmánek, M.
598. DT Small switched power supply Kubinec, P. Institute of Electronics and Phototonics (FEEIT) I-EN FEEIT 1 / 1 Greksa, D.
599. BT Torque vectoring methods for an electric vehicle Mikle, D. Institute of Automotive Mechatronics (FEEIT) B-AM FEEIT 1 / 1 Račkay, J.
600. DT Processing of CAD models for virtual reality and using them in mechatronics applications Haffner, O. Institute of Automotive Mechatronics (FEEIT) I-AME FEEIT 1 / 1 Molnár, T.
601. BT Analysis of declassified documents of W. Friedman Antal, E. Institute of Computer Science and Mathematics (FEEIT) B-API FEEIT 1 / -- Hulinová, P.
602. BT Natural language processing Budinská, I. Institute of Computer Science and Mathematics (FEEIT) B-API B-API-ITVR, B-API-MSUS FEEIT 1 / 1 Jankajová, A.
605. DT Key Management in Cloud Šrámka, M. Institute of Computer Science and Mathematics (FEEIT) I-API FEEIT 1 / 1 Ásványi, M.
606. BT Quadcopter stabilization Ťapák, P. Institute of Automotive Mechatronics (FEEIT) B-AM FEEIT 1 / -- Magnússon, A. E.
617. DT System for detection web attacks using semantics Balogh, Š. Institute of Computer Science and Mathematics (FEEIT) I-API FEEIT 1 / -- Tamáši, A.
618. DT System of harmonic analysis od periodic nonharmonic signals Červeňová, J. Institute of Electrical Engineering (FEEIT) I-AE FEEIT 1 / 1 Volek, M.
619. BT Authorization system for users using RFID card Mažári, J. Institute of Computer Science and Mathematics (FEEIT) B-API B-API-MSUS FEEIT 1 / -- Schurdak, S. E.
626. DT Statistical analysis and evaluation of process data Juhás, G. Institute of Computer Science and Mathematics (FEEIT) I-API I-API-MSUS FEEIT 1 / -- Gönczöl, J.
637. DT Technical solution of IPTV service. Baroňák, I. Institute of Multimedia Information and Communication Technologies (FEEIT) I-MIKT FEEIT 1 / 1 Moravec, Ľ.
641. BT Telemetry system for hive monitoring Bittera, M. Institute of Electrical Engineering (FEEIT) B-ET FEEIT 1 / 1 Hank, J.
642. DT Heart rate and intelligent devices Drozda, M. Institute of Computer Science and Mathematics (FEEIT) I-API FEEIT 1 / 1 Grech, E.
643. BT Cruise control system Rosinová, D. Institute of Automotive Mechatronics (FEEIT) B-AM FEEIT 2 / 1 Brndiarová, N.
645. DT Heat Pump Pípa, M. Institute of Power and Applied Electrical Engineering (FEEIT) I-ENE FEEIT 1 / -- Rožič, A.
648. DT Thermohydraulic behaviour in reactor VVER440 under refuelling conditions Paulech, J. Institute of Automotive Mechatronics (FEEIT) I-JFI FEEIT 1 / -- Remiaš, M.
652. DT XY plotter photographs printing Ťapák, P. Institute of Computer Science and Mathematics (FEEIT) I-API FEEIT 1 / 1 Jahodníková, B.
657. DT Topological interference alignment in partially connected networks 5G Farkaš, P. Institute of Multimedia Information and Communication Technologies (FEEIT) I-MIKT FEEIT 1 / 1 Hajdari, E.
658. DT Transformation of a process model to a text representation Juhás, G. Institute of Computer Science and Mathematics (FEEIT) I-API I-API-MSUS FEEIT 1 / -- Michalica, T.
659. BT Pharmacokinetics for thre systems of human body with applications. Marko, Ľ. Institute of Computer Science and Mathematics (FEEIT) B-API B-API-BIS FEEIT 1 / 1 Leščinská, D.
660. BT Current-carrying capacities of wires and cables in environments with different thermal conductivity. Packa, J. Institute of Power and Applied Electrical Engineering (FEEIT) B-ENE FEEIT 1 / 1 Vašín, M.
662. BT Artificial intelligence in financial sector Vojvoda, M. Institute of Computer Science and Mathematics (FEEIT) B-API FEEIT 1 / 1 Kiss, M.
663. DT Universal communication interface for Internet of Things Gallo, O. Institute of Computer Science and Mathematics (FEEIT) I-API FEEIT 1 / -- Vrabec, J.
664. DT Modification of the hydraulic system of coupled tanks and its Arduino based control Bisták, P. Institute of Automotive Mechatronics (FEEIT) I-AME FEEIT 1 / -- Rusnák, M.
667. DT Validation of Monte Carlo activation cauculation of V1 NPP reactor concrete shaft Krištofová, K. Institute of Nuclear and Physical Engineering (FEEIT) I-JFI FEEIT 1 / -- Šnírer, M.
669. BT Virtual electricity meter Bittera, M. Institute of Electrical Engineering (FEEIT) B-ET FEEIT 1 / 1 Gallasová, K.
672. BT Influence of tension insulators on horizontal tensile forces and size of maximum sag of overhead power lines Bendík, J. Institute of Power and Applied Electrical Engineering (FEEIT) B-ENE FEEIT 1 / 1 Kuruc, P.
675. DT Chosen dielectric properties of cables with defined fire performance after increased current load Packa, J. Institute of Power and Applied Electrical Engineering (FEEIT) I-ENE FEEIT 1 / 1 Kurka, I.
676. DT Searchable encryption Vojvoda, M. Institute of Computer Science and Mathematics (FEEIT) I-API FEEIT 1 / 1 Matalíková, K.
679. DT Presentation latency measurement in biofeedback experiments Púčik, J. Institute of Electronics and Phototonics (FEEIT) I-EN FEEIT 1 / 1 Krajčír, L.
692. BT New modul for institute web page Žáková, K. Institute of Computer Science and Mathematics (FEEIT) B-API FEEIT 1 / 1 Ohyr, V.
696. BT The teaching workplace with SINAMICS inverter Bélai, I. Institute of Automotive Mechatronics (FEEIT) B-AM FEEIT 1 / 1 Bélai, I.
699. BT Use security protocols to access wireless corporate network Orgoň, M. Institute of Multimedia Information and Communication Technologies (FEEIT) B-TLK FEEIT 1 / 1 Šafarik, I.
703. DT The use of deep neural networks to diagnose diseases from image data Kajan, S. Institute of Robotics and Cybernetics (FEEIT) I-RK FEEIT 1 / 1 Zavadska, A.
705. DT Using smart metering systems to control public lighting systems Dubnička, R. Institute of Power and Applied Electrical Engineering (FEEIT) I-ENE I-ENE-EE, I-ENE-ST FEEIT 1 / 1 Hatvany, D.
714. BT Use of BGP in SDN Medvecký, M. Institute of Multimedia Information and Communication Technologies (FEEIT) B-TLK FEEIT 1 / 1 Dúbravec, P.
716. DT Use of the outlets of the public lights for integration of the e-mobility cars Janíček, F. Institute of Power and Applied Electrical Engineering (FEEIT) I-ENE FEEIT 1 / -- Harmata, M.
718. DT Solar panel utilization in electric car Ťapák, P. Institute of Automotive Mechatronics (FEEIT) I-AME FEEIT 1 / 1 Fintor, J.
726. DT Utilization of a high-speed PLC network for broadband services Orgoň, M. Institute of Multimedia Information and Communication Technologies (FEEIT) I-MIKT FEEIT 1 / 1 Štefanička, M.

matches: V. V. V. V. V. V. V. V. V. V. V. V. V. V. V. V. V. V. V.