Items where Author is "Mohmed, G"

Up a level
Export as [feed] RSS
Group by: Item Type | No Grouping
Number of items: 5.

Journal article

MOHMED, G., LOTFI, A. and POURABDOLLAH, A., 2018. Human activities recognition based on neuro-fuzzy finite state machine. Technologies, 6 (4): 110. ISSN 2227-7080

Chapter in book

MOHMED, G., ADAMA, D.A. and LOTFI, A., 2019. Fuzzy feature representation with bidirectional long short-term memory for human activity modelling and recognition. In: Z. JU, L. YANG, C. YANG, A. GEGOV and D. ZHOU, eds., Advances in computational intelligence systems. UKCI 2019. Advances in intelligent systems and computing (1043). Cham: Springer, pp. 15-26. ISBN 9783030299323

MOHMED, G., LOTFI, A. and POURABDOLLAH, A., 2019. Long short-term memory fuzzy finite state machine for human activity modelling. In: Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments - PETRA '19, Rhodes, Greece, 5-7 June 2019. New York: ACM, pp. 561-567. ISBN 9781450362320

MOHMED, G., LOTFI, A., LANGENSIEPEN, C. and POURABDOLLAH, A., 2018. Clustering-based fuzzy finite state machine for human activity recognition. In: A. LOTFI, H. BOUCHACHIA, A. GEGOV, C. LANGENSIEPEN and M. MCGINNITY, eds., Advances in computational intelligence systems: contributions presented at the 18th UK Workshop on Computational Intelligence, September 5-7, 2018, Nottingham, UK. Advances in intelligent systems and computing (AISC), 840 . Cham, Switzerland: Springer, pp. 264-275. ISBN 9783319979816 (Forthcoming)

MOHMED, G., LOTFI, A., LANGENSIEPEN, C. and POURABDOLLAH, A., 2018. Unsupervised learning fuzzy finite state machine for human activities recognition. In: Proceedings of the 11th International Conference on PErvasive Technologies Related to Assistive Environments, PETRA '18, Corfu, Greece, 26-29 June 2018. New York: ACM, pp. 537-544. ISBN 9781450363907

This list was generated on Fri Dec 13 00:45:20 2019 UTC.