Items where Author is "Ihianle, IK"

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Number of items: 6.

Journal article

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

IHIANLE, I.K., NAEEM, U., ISLAM, S. and TAWIL, A.-R., 2017. Recognising activities of daily living from patterns of object use. International Journal of Hybrid Intelligent Systems, 14 (3), pp. 193-208. ISSN 1448-5869

IHIANLE, I.K., NAEEM, U. and TAWIL, A.-R., 2016. Recognition of activities of daily living from topic model. Procedia Computer Science, 98, pp. 24-31. ISSN 1877-0509

Chapter in book

IHIANLE, I.K., NAEEM, U. and ISLAM, S., 2017. Ontology-driven activity recognition from patterns of object use. In: UbiComp '17: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, Maui, Hawaii, September 2017. ACM Press, pp. 654-657. ISBN 9781450351904

IHIANLE, I.K., NAEEM, U., TAWIL, A.-R. and AZAM, M.A., 2016. Recognizing activities of daily living from patterns and extraction of web knowledge. In: Proceedings of The 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct, Heidelberg, Germany, 12-16 September 2016. New York: ACM Press, pp. 1255-1262. ISBN 9781450344623

IHIANLE, I.K., NAEEM, U. and TAWIL, A.-R., 2015. A dynamic segmentation based activity discovery through topic modelling. In: Proceedings of IET International Conference on Technologies for Active and Assisted Living, (TechAAL 2015), Kingston upon Thames, 5-6 November 2015. Institute of Electrical and Electronics Engineers (IEEE). ISBN 9781785611599

This list was generated on Sun Oct 17 21:13:59 2021 UTC.