Browse by ORCID

Journal article

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

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., 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. 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

Chapter in book

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

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., 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

Thesis

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