Items where Author is "Mohmed, G"

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Number of items: 9.

Journal article

MOHMED, G., LOTFI, A. and POURABDOLLAH, A., 2020. Enhanced fuzzy finite state machine for human activity modelling and recognition. Journal of Ambient Intelligence and Humanized Computing. ISSN 1868-5137

MOHMED, G., LOTFI, A. and POURABDOLLAH, A., 2020. Convolutional neural network classifier with fuzzy feature representation for human activity modelling. .

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., GRUNDY, S., LOTFI, A. and LU, C., 2022. Using AI approaches for predicting tomato growth in hydroponic systems. In: T. JANSEN, R. JENSEN, N. MACPARTHALÁIN and C.M. LIN, eds., Advances in computational intelligence systems. Contributions presented at the 20th UK Workshop on Computational Intelligence, September 8-10, 2021, Aberystwyth, Wales, UK. Advances in intelligent systems and computing (1409). Cham: Springer, pp. 277-287. ISBN 9783030870935

MOHMED, G., LOTFI, A. and POURABDOLLAH, A., 2020. Employing a deep convolutional neural network for human activity recognition based on binary ambient sensor data. In: PETRA '20: Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments. New York: Association for Computing Machinery (ACM), pp. 1-7. ISBN 9781450377737

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

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 Thu Oct 6 01:45:11 2022 UTC.