Items where Author is "Owa, K"

Journal article

FIGUEREDO, G.P., OWA, K. and JOHN, R., 2020. Multi-objective optimization for time-based preventive maintenance within the transport network: a review. Academic and Library Computing. ISSN 1055-4769

IHIANLE, I.K., NWAJANA, A.O., EBENUWA, S.H., OTUKA, R.I., OWA, K. and ORISATOKI, M.O., 2020. A deep learning approach for human activities recognition from multimodal sensing devices. IEEE Access, 8, pp. 179028-179038. ISSN 2169-3536

TERRY JACK, M.D.A., KHUMAN, S.A. and OWA, K., 2019. Spatio-temporal patterns act as computational mechanisms governing emergent behavior in robotic swarms. International Journal of Swarm Intelligence and Evolutionary Computation, 8 (1): 175.

OWA, K., KHAN, A., SHARMA, S. and SUTTON, R., 2018. A non-minimum phase robust nonlinear neuro-wavelet predictive control strategy for a quadruple tank process. International Journal of Process Systems Engineering, 4 (4): 207. ISSN 1757-6342

OWA, K., JACKSON, L. and JACKSON, T., 2017. An intelligent novel tripartite - (PSO-GA-SA) optimisation strategy. International Journal of Metaheuristics, 6 (3), pp. 210-233. ISSN 1755-2176

OWA, K., SHARMA, S. and SUTTON, R., 2015. A wavelet neural network based non-linear model predictive controller for a multi-variable coupled tank system. International Journal of Automation and Computing, 12 (2), pp. 156-170. ISSN 1476-8186

OWA, K., SHARMA, S. and SUTTON, R., 2014. A novel real-time non-linear wavelet-based model predictive controller for a coupled tank system. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 228 (6), pp. 419-432. ISSN 0959-6518

OWA, K., 2013. Nonlinear model predictive control strategy based on soft computing approaches and real time implementation on a coupled-tank system. International Journal of Advanced Research in Computer Science and Software Engineering, 3 (5), pp. 1350-1359. ISSN 2277-6451

Chapter in book

KAUR, M., CHAUHAN, K.K., AGGARWAL, T., BHARADWAJ, P., VIG, R., IHIANLE, I.K., JOSHI, G. and OWA, K., 2023. Taguchi based design of sequential convolution neural network for classification of defective fasteners. In: S. SHAKYA, K.-L. DU and K. NTALIANIS, eds., Sentiment analysis and deep learning: proceedings of ICSADL 2022. Advances in Intelligent Systems and Computing (1432). Singapore: Springer. ISBN 9789811954429