Browse by ORCID

KRISHNA, M.S., MACHADO, P., OTUKA, R.I., YAHAYA, S.W., NEVES DOS SANTOS, F. and IHIANLE, I.K., 2025. Plant leaf disease detection using deep learning: a multi-dataset approach. J, 8 (1): 4. ISSN 2571-8800

SWANN, M., MACHADO, P., IHIANLE, I.K., YAHAYA, S., ZORRIASSATINE, F. and OIKONOMOU, A., 2024. SmartAntenna: enhancing wireless range with autonomous orientation. In: M.N. HUDA, M. WANG and T. KALGANOVA, eds., Towards autonomous robotic systems: 25th annual conference, TAROS 2024, London, UK, August 21–23, 2024, proceedings, part I. Lecture notes in computer science . Cham: Springer. ISBN 9783031720581

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

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

YAHAYA, S.W., LOTFI, A. and MAHMUD, M., 2021. Towards a data-driven adaptive anomaly detection system for human activity. Pattern Recognition Letters, 145, pp. 200-207. ISSN 0167-8655

YAHAYA, S.W., 2021. User-centric anomaly detection in activities of daily living. PhD, Nottingham Trent University.

YAHAYA, S.W., LOTFI, A. and MAHMUD, M., 2021. Detecting anomaly and its sources in activities of daily living. SN Computer Science, 2 (1): 14. ISSN 2661-8907

YAHAYA, S.W., LOTFI, A., MAHMUD, M. and ADAMA, D.A., 2021. A centralised cloud-based monitoring system for older adults in a community. In: 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC) [proceedings]. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), pp. 2439-2443. ISBN 9781665442077

YAHAYA, S.W., LOTFI, A. and MAHMUD, M., 2020. Towards the development of an adaptive system for detecting anomaly in human activities. In: 2020 IEEE Symposium Series on Computational Intelligence (SSCI) proceedings. Institute of Electrical and Electronics Engineers (IEEE), pp. 534-541. ISBN 9781728125473

YAHAYA, S.W., LOTFI, A., MAHMUD, M., MACHADO, P. and KUBOTA, N., 2020. Gesture recognition intermediary robot for abnormality detection in human activities. In: 2019 IEEE Symposium Series on Computational Intelligence (SSCI). Institute of Electrical and Electronics Engineers (IEEE), pp. 1415-1421. ISBN 9781728124865

ANDEREZ, D.O., DOS SANTOS, L.P., LOTFI, A. and YAHAYA, S.W., 2019. Accelerometer-based hand gesture recognition for human-robot interaction. In: 2019 IEEE Symposium Series on Computational Intelligence (SSCI), Xiamen, China, 6-9 December 2019. Institute of Electrical and Electronics Engineers (IEEE), pp. 1402-1406. ISBN 9781728124858

YAHAYA, S.W., LOTFI, A. and MAHMUD, M., 2019. A consensus novelty detection ensemble approach for anomaly detection in activities of daily living. Applied Soft Computing, 83: 105613. ISSN 1568-4946

YAHAYA, S.W., LANGENSIEPEN, C. and LOTFI, A., 2018. Anomaly detection in activities of daily living using one-class support vector machine. 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 (840). Cham, Switzerland: Springer, pp. 362-371. ISBN 9783319979816