Brno University of Technology - Vnitřní projekty VUT

- whole funder (2023-01-01 - 2024-12-31)

FIT-S-23-8141

Czech

Bardonek Petr, Ing. - fellow researcher
Bidlo Michal, doc. Ing., Ph.D. - fellow researcher
Blašková Barbora, Ing. - fellow researcher
Duchoň Radek, Ing. - fellow researcher
Fukač Tomáš, Ing. - fellow researcher
Hejcman Lukáš, Ing. - fellow researcher
Hurta Martin, Ing. - fellow researcher
Husa Jakub, Ing. - fellow researcher
Hussain Yasir - fellow researcher
Chlebík Jakub, Ing. - fellow researcher
Jaroš Jiří, doc. Ing., Ph.D. - fellow researcher
Jaroš Marta, Ing., Ph.D. - fellow researcher
Jawed Soyiba, Dr., MSc - fellow researcher
Kadlubiak Kristián, Ing. - fellow researcher
Kekely Lukáš, Ing., Ph.D. - fellow researcher
Kekely Michal, Ing. - fellow researcher
Klhůfek Jan, Ing. - fellow researcher
Kocnová Jitka, Ing. - fellow researcher
Kučera Jan, Ing. - fellow researcher
Malik Aamir Saeed, doc., Ph.D. - fellow researcher
Martínek Tomáš, doc. Ing., Ph.D. - fellow researcher
Mrázek Vojtěch, Ing., Ph.D. - fellow researcher
Olšák Ondřej, Ing. - fellow researcher
Orsák Michal, Ing. - fellow researcher
Pánek Richard, Ing. - fellow researcher
Piňos Michal, Ing. - fellow researcher
Růžička Richard, doc. Ing., Ph.D., MBA - fellow researcher
Strnadel Josef, Ing., Ph.D. - fellow researcher
Šimek Václav, Ing. - fellow researcher
Šišmiš Lukáš, Ing. - fellow researcher
Tisovčík Peter, Ing. - fellow researcher
Vašíček Zdeněk, doc. Ing., Ph.D. - fellow researcher
Zaheer Muhammad Asad - fellow researcher
Sekanina Lukáš, prof. Ing., Ph.D. - principal person responsible

Department of Computer Systems
- (2023-01-01 - 2025-12-31)
Faculty of Information Technology
- (2023-01-01 - 2025-12-31)

KEKELY, M.; KOŘENEK, J. Optimizing Packet Classification on FPGA. In PROCEEDINGS 2023 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS). IEEE International Symposium on Design and Diagnostics of Electronic Circuits & Systems. Tallinn: Institute of Electrical and Electronics Engineers, 2023. p. 7-12. ISBN: 979-8-3503-3277-3. ISSN: 2334-3133.
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JAWED, S.; FAYE, I.; MALIK, A. Deep learning-based assessment model for Real-time identification of visual learners using Raw EEG. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2024, vol. 32, no. 1, p. 378-390. ISSN: 1558-0210.
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AMIN, H.; ULLAH, R.; REZA, M.; MALIK, A. Single-trial extraction of event-related potentials (ERPs) and classification of visual stimuli by ensemble use of discrete wavelet transform with Huffman coding and machine learning techniques. Journal of NeuroEngineering and Rehabilitation, 2023, vol. 20, no. 1, p. 1-17. ISSN: 1743-0003.
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HURTA, M.; MRÁZEK, V.; DRAHOŠOVÁ, M.; SEKANINA, L. ADEE-LID: Automated Design of Energy-Efficient Hardware Accelerators for Levodopa-Induced Dyskinesia Classifiers. In 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE). Antwerp: Institute of Electrical and Electronics Engineers, 2023. p. 1-2. ISBN: 978-3-9819263-7-8.
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LOJDA, J.; PÁNEK, R.; SEKANINA, L.; KOTÁSEK, Z. Automated Design and Usage of the Fault-Tolerant Dynamic Partial Reconfiguration Controller for FPGAs. Microelectronics Reliability, 2023, vol. 2023, no. 144, p. 1-16. ISSN: 0026-2714.
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PÁNEK, R.; LOJDA, J. The Fault-tolerant Single-FPGA Systems with a Self-repair Reconfiguration Controller. In LASCAS 2023 - 14th IEEE Latin American Symposium on Circuits and Systems, Proceedings. Quito: Institute of Electrical and Electronics Engineers, 2023. p. 104-107. ISBN: 978-1-6654-5705-7.
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MOINUDDIN, M.; ZERGUINE, A.; ARIF, M. A Weighted Gaussian Kernel Least Mean Square Algorithm. CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2023, vol. 42, no. 9, p. 5267-5288. ISSN: 0278-081X.
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MAHRUKH, R.; SHAKIL, S.; MALIK, A. Sentiments analysis of fMRI using automatically generated stimuli labels under naturalistic paradigm. Scientific Reports, 2023, vol. 13, no. 1, p. 1-15. ISSN: 2045-2322.
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CHLEBÍK, J.; JAROŠ, J. Evolutionary Optimization of a Focused Ultrasound Propagation Predictor Neural Network. GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion. Lisbon: Association for Computing Machinery, 2023. p. 635-638. ISBN: 979-8-4007-0120-7.
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HURTA, M.; MRÁZEK, V.; DRAHOŠOVÁ, M.; SEKANINA, L. Multi-objective Design of Hardware Accelerators for Levodopa-Induced Dyskinesia Classifiers. Evo* 2023 -- Late-Breaking Abstracts Volume. Brno: 2023. p. 0-0.
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RŮŽIČKA, R.; ŠIMEK, V.; NEVORAL, J. Polymorphic RTL Computational Elements. Proceedings of the DSD 2023. Durres: IEEE Computer Society, 2023. p. 523-530. ISBN: 979-8-3503-4419-6.
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SHAIKH, U.; SHAHZAIB, M.; SHAKIL, S.; BHATTI, F.; MALIK, A. Robust and Adaptive Terrain Classification and Gait Event Detection System. Heliyon, 2023, vol. 9, no. 11, p. 1-12. ISSN: 2405-8440.
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ŠIŠMIŠ, L.; KOŘENEK, J. Analysis of TLS Prefiltering for IDS Acceleration. In Passive and Active Measurement 2023. Lecture Notes in Computer Science. Lecture Notes in Computer Science. Madrid: Springer Nature Switzerland AG, 2023. p. 85-109. ISBN: 978-3-031-28485-4. ISSN: 0302-9743.
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HUSA, J.; SEKANINA, L. Semantic Mutation Operator for Fast and Efficient Design of Bent Boolean Functions. Evo* 2023 -- Late-Breaking Abstracts Volume. Brno: 2023. p. 0-0.
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PIŇOS, M.; MRÁZEK, V.; SEKANINA, L. Prediction of Inference Energy on CNN Accelerators Supporting Approximate Circuits. In 2023 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems. Talinn: Institute of Electrical and Electronics Engineers, 2023. p. 45-50. ISBN: 979-8-3503-3277-3.
Detail

MRÁZEK, V.: autoax; autoAx: An Open-Source Automated Design Space Exploration Framework for Approximate Accelerators in FPGAs and ASICs. https://github.com/ehw-fit/autoax. URL: https://github.com/ehw-fit/autoax. (software)
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