Items where Author is "Ihianle, IK"
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BORALESSA, K., IHIANLE, I.K., MACHADO, P., YAHAYA, S.W. and LOTFI, A., 2024. Input-adaptation approach for human activity recognition. In: PETRA '24: proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments. New York City: ACM, 369 - 374. ISBN 9798400717604
IHIANLE, I.K., MACHADO, P., OWA, K., ADAMA, D.A., OTUKA, R. and LOTFI, A., 2024. Minimising redundancy, maximising relevance: HRV feature selection for stress classification. Expert Systems with Applications, 239: 122490. ISSN 0957-4174
FONTES, L., MACHADO, P., VINKEMEIER, D., YAHAYA, S., BIRD, J.J. and IHIANLE, I.K., 2024. Enhancing stress detection: a comprehensive approach through rPPG analysis and deep learning techniques. Sensors, 24 (4): 1096. ISSN 1424-8220
BIRD, J.J., IHIANLE, I.K., MACHADO, P., BROWN, D.J. and LOTFI, A., 2023. A neuroevolution approach to keypoint-based sign language fingerspelling classification. In: Proceedings: 2023 15th International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter). Piscataway: Institute of Electrical and Electronics Engineers, pp. 215-220. ISBN 9798350383829
MURRAY-HILL, N., FONTES, L., MACHADO, P. and IHIANLE, I.K., 2023. Secure video streaming using dedicated hardware. Journal of Signal Processing Systems. ISSN 1939-8018
KELLY, P., ADAMA, D.A., IHIANLE, I.K., MACHADO, P. and OTUKA, R.I., 2023. Exploring the role of fear in human decision making. In: PETRA '23: Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments. New York: Association for Computing Machinery (ACM), pp. 505-510. ISBN 9798400700699
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
IJEMARU, G.K., NWAJANA, A.O., OLEKA, E.U., OTUKA, R.I., IHIANLE, I.K., EBENUWA, S.H. and OBI, E.R., 2021. Image processing system using MATLAB-based analytics. Bulletin of Electrical Engineering and Informatics, 10 (5), pp. 2566-2577. ISSN 2089-3191
IHIANLE, I.K., ISLAM, S., NAEEM, U. and EBENUWA, S.H., 2021. Exploiting patterns of object use for human activity recognition. In: A.O. NWAJANA and I.K. IHIANLE, eds., Handbook of research on 5G networks and advancements in computing, electronics, and electrical engineering. Hershey, PA: IGI Global, pp. 382-401. ISBN 9781799869924
NWAJANA, A.O. and IHIANLE, I.K., 2021. Handbook of research on 5G networks and advancements in computing, electronics, and electrical engineering. IGI Global. ISBN 9781799869924
PU, S. and IHIANLE, I.K., 2021. Ontology-based travel recommender system. In: A.O. NWAJANA and I.K. IHIANLE, eds., Handbook of research on 5G networks and advancements in computing, electronics, and electrical engineering. Hershey, PA: IGI Global, pp. 460-476. ISBN 9781799869924
NWAJANA, A.O., OTUKA, R.I., EBENUWA, S.H., IHIANLE, I.K., ANEKE, S.O. and EDOH, A.A., 2020. Symmetric 3dB filtering power divider with equal output power ratio for communication systems. In: 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE). IEEE. ISBN 9781728171173
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. 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., 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
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