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In English
2020 International Conference on Computational Science and Computational Intelligence (CSCI)
Hamid, R. Arabnia [szerk.]
Angol nyelvű Konferenciakötet (Könyv) Tudományos
Megjelent: Institute of Electrical and Electronics Engineers (IEEE), Piscataway (NJ), Amerikai Egyesült Államok
2020
Konferencia:
2020 International Conference on Computational Science and Computational Intelligence (CSCI) 2020-12-16 [Las Vegas (NV), Amerikai Egyesült Államok]
Azonosítók
MTMT: 32080414
ISBN:
9781728176246
Fejezetek
Okubo Y.. Finding Pseudo-Cliques with Core Nodes Based on Formal Concept Analysis. (2020) Megjelent: 2020 International Conference on Computational Science and Computational Intelligence (CSCI) pp. 304-308
Fard M.H. et al. Using EEG Data and NeuCube for the Study of Transfer of Learning. (2020) Megjelent: 2020 International Conference on Computational Science and Computational Intelligence (CSCI) pp. 443-449
Vegh Janos et al. Do we know the operating principles of our computers better than those of our brain?. (2020) Megjelent: 2020 International Conference on Computational Science and Computational Intelligence (CSCI) pp. 668-674
Rahim A. et al. A Trust Assisted Matrix Factorization based Improved Product Recommender System. (2020) Megjelent: 2020 International Conference on Computational Science and Computational Intelligence (CSCI) pp. 719-724
Layne Alicia et al. Cultivating Positive ICT Perceptions: an application of the MST-tree model to the ‘Guyanese Girls Code’ Initiative. (2020) Megjelent: 2020 International Conference on Computational Science and Computational Intelligence (CSCI) pp. 934-940
Vegh Janos. von Neumann’s missing "Second Draft": what it should contain. (2020) Megjelent: 2020 International Conference on Computational Science and Computational Intelligence (CSCI) pp. 1260-1264
Pham Hanh et al. An Event-Based Framework for Virtual Libraries. (2020) Megjelent: 2020 International Conference on Computational Science and Computational Intelligence (CSCI) pp. 1322-1327
Heszberger Z. et al. Hyperbolic Trees in Complex Networks. (2020) Megjelent: 2020 International Conference on Computational Science and Computational Intelligence (CSCI) pp. 1365-1371
Pavone L. et al. A fast and efficient method for detection of seizure in electroencephalogram using log-energy entropy and support vector machine. (2020) Megjelent: 2020 International Conference on Computational Science and Computational Intelligence (CSCI) pp. 1581-1585
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2025-02-11 23:49
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Hivatkozás stílusok:
IEEE
ACM
APA
Chicago
Harvard
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Másolás