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Dive into the research topics where Martin Lukac is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
- 3 Finished
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Cozmo Robot for Computer Science Education
Ali Rizvi, M., Tyler, B. J. & Lukac, M.
3/20/18 → 12/31/20
Project: FDCRGP
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Approximate Function Classification
Lukac, M., Podlaski, K. & Kameyama, M., 2022, Computational Science - ICCS 2022, 22nd International Conference, Proceedings. Groen, D., de Mulatier, C., Krzhizhanovskaya, V. V., Sloot, P. M. A., Paszynski, M. & Dongarra, J. J. (eds.). Springer Science and Business Media Deutschland GmbH, p. 207-213 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13351 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Evaluation of pseudo-random number generation on GPU cards
Askar, T., Shukirgaliyev, B., Lukac, M. & Abdikamalov, E., Dec 2021, In: Computation. 9, 12, 142.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
On Distinguishing Sequences of Several Classes of Reversible Finite State Machines
Lukac, M. & El-Fakih, K., May 2021, Proceedings - 2021 IEEE 51st International Symposium on Multiple-Valued Logic, ISMVL 2021. IEEE Computer Society, p. 113-119 7 p. 9459647. (Proceedings of The International Symposium on Multiple-Valued Logic; vol. 2021-May).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Optimization of LNN Reversible Circuits Using an Analytic Sifting Method
Lukac, M., Kerntopf, P. & Kameyama, M., 2021, (Accepted/In press) In: Journal of Circuits, Systems and Computers. 2150166.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
Remove to Improve?
Abdiyeva, K., Lukac, M. & Ahuja, N., 2021, Pattern Recognition. ICPR International Workshops and Challenges, 2021, Proceedings. Del Bimbo, A., Cucchiara, R., Sclaroff, S., Farinella, G. M., Mei, T., Bertini, M., Escalante, H. J. & Vezzani, R. (eds.). Springer Science and Business Media Deutschland GmbH, p. 146-161 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12663 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution