Výsledky vyhľadávania
Názov Obtaining tire tread model from its real world photo Aut.údaje Michal Vagač, Michal Povinský, Miroslav Melicherčík Autor Vagač Michal 1977- (40%) UMBFP05 - Katedra informatiky
Spoluautori Povinský Michal 1990- (40%)
Melicherčík Miroslav 1984- (20%) UMBFP05 - Katedra informatiky
Zdroj.dok. IEEE 15th International Scientific Conference on Informatics : informatics 2019 : proceedings, 20.-22.11.2019, Poprad. S. 441-444. - New York : Institute of Electrical and Electronics Engineers, 2019 ; IEEE International Scientific Conference on Informatics Informatics 2019 Kľúč.slová forenzné vedy - forensic sciences trasologické objekty - trasological objects stopy spracovanie obrazu - image processing neurónové siete - neural networks informatika - informatics Form.deskr. príspevky v zborníku - proceedings papers Jazyk dok. angličtina Krajina Spojené štáty Kategória publikačnej činnosti AFD Číslo archívnej kópie 46648 Kategória ohlasu RAHMAN, Mostafizur - KAMAL, Noorfazila - ABDULLAH, Nor Fadzilah - HUSSIN, Fikri Mat. Tire condition classification based on tread depth using machine learning. In 2022 IEEE 20th student conference on research and development, SCOReD 2022, Bangi, 08th-09th November 2022. Picatway : IEEE - Institute of electrical and electronics engineers, 2022. ISBN 978-166547488-7, pp. 51-55.
Katal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Báza dát xpca - PUBLIKAČNÁ ČINNOSŤ 
nerozpoznaný
Názov Possibilities of human interaction in the virtual environment Aut.údaje Patrik Voštinár ... [et al.] Autor Voštinár Patrik 1988- (35%) UMBFP05 - Katedra informatiky
Spoluautori Horváthová Dana 1965- (35%) UMBFP05 - Katedra informatiky
Mitter Martin (20%)
Bako Martin (10%)
Zdroj.dok. IEEE 15th International Scientific Conference on Informatics : informatics 2019 : proceedings, 20.-22.11.2019, Poprad. Pp. 456-460. - New York : Institute of Electrical and Electronics Engineers, 2019 ; IEEE International Scientific Conference on Informatics Informatics 2019 Kľúč.slová virtual environment výchova a vzdelávanie - edukácia - education phobia treatment starostlivosť o zdravie - health care defense game in the playing field Form.deskr. príspevky v zborníku - proceedings papers Jazyk dok. angličtina Krajina Spojené štáty Kategória publikačnej činnosti AFD Číslo archívnej kópie 46458 Kategória ohlasu SHRESTHA, Deepanjal - WENAN, Tan - RAJKARNIKAR, Neesha - SHRESTHA, Deepmala - JEONG, Seung R. Study and evaluation of tourism websites based on user perspective. In Journal of internet computing and services. ISSN 1598-0170, 2021, vol. 22, no. 4, pp. 65-82.
Katal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Báza dát xpca - PUBLIKAČNÁ ČINNOSŤ nerozpoznaný
Názov Classification of tire tread images by using neural networks Aut.údaje Alžbeta Michalíková, Branislav Pažický Autor Michalíková Alžbeta 1979- (95%) UMBFP05 - Katedra informatiky
Spoluautori Pažický Branislav (5%)
Akcia Zdroj.dok. IEEE 15th International Scientific Conference on Informatics : informatics 2019 : proceedings, 20.-22.11.2019, Poprad. Pp. 283-287. - New York : Institute of Electrical and Electronics Engineers, 2019 ; IEEE International Scientific Conference on Informatics Informatics 2019 Poznámka Príspevok je evidovaný v databáze WOS. Príspevok je evidovaný v databáze Scopus Kľúč.slová neurónové siete - neural networks classification analytical processing Form.deskr. príspevky v zborníku - proceedings papers Jazyk dok. angličtina Krajina Spojené štáty Anotácia Image classification represents a complex problem which occurs in variety of science and real life applications. Neural network is one of the excellent tools which could be used to solve this problem. The research presented in this paper is motivated by several consultations with active crime scene investigators. During these consultations, it became apparent, that criminology department is in critical need of advanced software for tire tread print identification. The current software used by crime scene investigators is outdated, time demanding and hard to work with. Application for tire tread print identification should be one of results of project created on the basis of our work with criminology department. This paper presents one of the first steps of this identification tire tread position identification. Kategória publikačnej činnosti AFD Číslo archívnej kópie 49889 Kategória ohlasu ZHANG, Fenglei - LI, Da - LI, Shenghua - GUAN, Weili - LIU, Meng. A lightweight tire tread image classification network. In 2022 IEEE international conference on visual communications and image processing : VCIP 2022, Suzhou, 13rd-16th December 2022. Piscataway : Institute of electrical and electronics engineers, 2022. ISBN 978-166547592-1, pp. 1-5.
Katal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Báza dát xpca - PUBLIKAČNÁ ČINNOSŤ 
článok
Názov A Chatbot based on deep neural network and public cloud services with TJBot interface Aut.údaje Michal Povinský, Miroslav Melicherčík, Vladimír Siládi Autor Povinský Michal 1990- (34%)
Spoluautori Melicherčík Miroslav 1984- (33%) UMBFP05 - Katedra informatiky
Siládi Vladimír 1970- (33%) UMBFP05 - Katedra informatiky
Zdroj.dok. IEEE 15th International Scientific Conference on Informatics : informatics 2019 : proceedings, 20.-22.11.2019, Poprad. Pp. 327-332. - New York : Institute of Electrical and Electronics Engineers, 2019 ; IEEE International Scientific Conference on Informatics Informatics 2019 Kľúč.slová neurónové siete - neural networks strojové učenie - machine learning cloudové služby - cloud services informatika - informatics technika - technique - technology 21. stor. - 21. storočie - 21st century Form.deskr. príspevky v zborníku - proceedings papers Jazyk dok. angličtina Krajina Spojené štáty Kategória publikačnej činnosti AFD Číslo archívnej kópie 46496 Kategória ohlasu KARN, Arodh Lal - WEBBER, Julian L. - MEHBODNIYA, Abolfazl - STALIN DAVID, D. - SUBRAMANIAM, Balu - RANGASAMY, Rajasekar - SENGAN, Sudhakar. Evaluation and language training of multinational enterprises employees by deep learning in cloud manufacturing resources. In 10th international conference on innovations in computer science and engineering : ICICSE 2022, Hyderabad, 16th-17th September 2022. Berlin : Springer science and business media Deutschland, 2023. ISBN 978-981197454-0, pp. 369-380.
ANILKUMAR, Chunduru - SREE DEVI, K. Dhana - SETHY, Abhisek. Development of conversational assistant in educational support system using IBM Watson. In Tianjin Daxue xuebao [online]. 2022, vol. 55, no. 2, pp. 359-368 [cit. 2024-02-21]. ISSN 0493-2137. Dostupné na: https://tianjindaxuexuebao.com/dashboard/uploads/27.%20RFJXV.pdf
Katal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Báza dát xpca - PUBLIKAČNÁ ČINNOSŤ nerozpoznaný
Názov Optimization design for parallel coloring of a set of graphs in the High-Performance Computing Aut.údaje Adam Dudáš, Jarmila Škrinárová, Eduard Vesel Autor Dudáš Adam 1992- (40%)
Spoluautori Škrinárová Jarmila 1962- (40%) UMBFP05 - Katedra informatiky
Vesel Eduard (20%)
Zdroj.dok. IEEE 15th International Scientific Conference on Informatics : informatics 2019 : proceedings, 20.-22.11.2019, Poprad. Pp. 93-99. - New York : Institute of Electrical and Electronics Engineers, 2019 ; IEEE International Scientific Conference on Informatics Informatics 2019 Kľúč.slová paralelné počítanie - paralelné výpočty - parallel computing kubické grafy - cubic charts vysokovýkonné počítanie HPC algoritmy - algorithms informatika - informatics Form.deskr. príspevky v zborníku - proceedings papers Jazyk dok. angličtina Krajina Spojené štáty Anotácia © 2019 IEEE. This paper presents solution to problem of edge coloring of sizable set of cubic graphs and examination of relations between these graphs. We solved this problem on various computing systems and for various sizes of the problem (various number of graphs). For the computations we used High-Performance Computing Cluster and Amazon Web Services cloud environment. We measured and analyzed time of computation of edge coloring and other properties. Largest set we worked with contained almost 10 million graphs. We created new methodology, which can be used to finding order of the edges which optimizes time of computation of edge coloring for certain subset of graphs. On the basis of this methodology, we implemented algorithm for parallel edge coloring of set of graphs. For testing of the methodology, we designed 8 experiments. Results showed, that worst time of edge coloring of graph from set of 19 935 graphs before use of the methodology was 1260 ms. After application of our methodology, we found same order of edge coloring for whole group of 19 935 graphs and the highest time of coloring was 10 ms. Kategória publikačnej činnosti AFD Číslo archívnej kópie 47125 Kategória ohlasu CAILLOUET, Christelle - HEUSSE, Martin - ROUSSEAU, Franck. Optimal SF allocation in LoRaWAN considering physical capture and imperfect orthogonality. In EEE Global communications conference (GLOBECOM), Waikoloa, 09th-13th December 2019. New York : IEEE - Institute of electrical and electronics engineers, 2019. ISBN 978-1-7281-0962-6, pp. [1-8].
CERESNAK, Roman - KVET, Michal - MATIASKO, Karol. Improved method of selecting data in a nonrelational database. In 2021 international conference on information and digital technologies, IDT 2021, Žilina, 22th-24th June 2021. New Jersey : Institute of electrical and electronics engineers, 2021. ISBN 978-166543692-2, pp. 59-64.
KVET, Michal - ČEREŠŇÁK, Roman - ŠALGOVÁ, Veronika. Use of machine learning for the unknown values in database transformation processes. In 2021 Communication and information technologies conference proceedings, KIT 2021 : 11th international scientific conference, Vysoké Tatry, 13th-15th October 2021. New York : IEEE - Institute of electrical and electronics engineers, 2021. ISBN 978-1-6654-2879-8, pp. [1-7].
KVET, Michal. Covering undefined and untrusted values by the database index. In 10th world conference on information systems and technologies, WorldCIST 2022, Budva, 12th-14th April 2022. Berlin : Springer, 2022. ISBN 978-303104828-9, pp. 473-483.
KVET, Michal - MAJERCIAKOVA, Linda - GIBHARDT, Antoine - MILJKOVIC, Luka - BOUHTOUT, Wassim. Performance analysis of the database of telecommunications. In 31st conference of open innovations association, FRUCT 2022, virtual, 27th-29th April 2022. Helsinki : IEEE - Institute of electrical and electronics engineers, 2022. ISBN 978-952692447-2, pp. 145-152.
KVET, Michal. Identifying, managing, and accessing undefined tuple states in relational databases. In Proceedings of international conference on smart systems and technologies, SST 2022, Osijek, 19th-21st October. Piscataway : Institute of electrical and electronics engineers, 2022. ISBN 978-166548215-8, pp. 165-172.
KVET, Michal. Impact of disc types on database performance. In 16th international scientific conference on informatics : Informatics 2022, Poprad, 23th-25th November 2022. Piscataway : Institute of electrical and electronics engineers, 2022. ISBN 979-8-3503-1034-4, pp. 188-195.
KVET, Michal. Relation between the temporal database environment and disc block size. In 16th international scientific conference on informatics : Informatics 2022, Poprad, 23th-25th November 2022. Piscataway : Institute of electrical and electronics engineers, 2022. ISBN 979-8-3503-1034-4, pp. 196-202.
KVET, Michal. Identifying and treating NULL values in the Oracle Database performance case study. In 33rd Conference of Open innovations association : FRUCT 2023, Žilina, 24.05.-26.05.2023. Piscataway : Institute of electrical and electronics engineers computer society, 2023. ISBN 978-952692449-6, pp. 161-168.
KVET, Michal. Using boolean data type in Oracle database performance study. In International conference on information and digital technologies 2023 : IDT 2023, Žilina, 20th June 2023. Piscataway : Institute of electrical and electronics engineers, 2023. ISBN 979-835030586-9, pp. 179-186.
Katal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Báza dát xpca - PUBLIKAČNÁ ČINNOSŤ nerozpoznaný