Browse by ORCID

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

LIAN, T., ADAMA, D., MACHADO, P. and VINKEMEIER, D., 2023. Supervised contrastive learning with identity-label embeddings for facial action unit recognition. In: 34th British Machine Vision Conference proceedings. British Machine Vision Association.

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

POMYKALA, J., DE LEMOS, F., IHIANLE, K., ADAMA, D.A. and MACHADO, P., 2022. Deep learning approach for classifying trusses and runners of strawberries. In: Advances in intelligent systems and computing: proceedings of the 21st UK Workshop on Computational Intelligence (UKCI 2022). Springer.

MCKINNON, F., ADAMA, D.A., MACHADO, P. and IHIANLE, I., 2022. Real-time gesture recognition with virtual glove markers. In: PETRA'22: proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments. ACM. ISBN 9781450396318

ADAMA, D.A., LOTFI, A. and RANSON, R., 2021. A survey of vision-based transfer learning in human activity recognition. Electronics, 10 (19): 2412. ISSN 2079-9292

ADAMA, D.A., OLATUNJI, T.Y., YAHAYA, S.W. and LOTFI, A., 2021. Comparative analysis of K-means and traversal optimisation algorithms. In: T. JANSEN, R. JENSEN, N. MAC PARTHALÁIN and C.-M. LIN, eds., Advances in computational intelligence systems: contributions presented at the 20th UK Workshop on Computational Intelligence, September 8-10, 2021, Aberystwyth, Wales, UK. Advances in intelligent systems and computing book series (1409). Cham: Springer, pp. 300-311. ISBN 9783030870935

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

ADAMA, D.A., LOTFI, A. and RANSON, R., 2020. Adaptive segmentation and sequence learning of human activities from skeleton data. Expert Systems with Applications: 113836. ISSN 0957-4174

ADAMA, D.O.A., 2020. Fuzzy transfer learning in human activity recognition. PhD, Nottingham Trent University.

MOHMED, G., ADAMA, D.A. and LOTFI, A., 2019. Fuzzy feature representation with bidirectional long short-term memory for human activity modelling and recognition. In: Z. JU, L. YANG, C. YANG, A. GEGOV and D. ZHOU, eds., Advances in computational intelligence systems. UKCI 2019. Advances in intelligent systems and computing (1043). Cham: Springer, pp. 15-26. ISBN 9783030299323

ADAMA, D.A., LOTFI, A., RANSON, R. and TRINDADE, P., 2019. Transfer learning in assistive robotics: from human to robot domain. In: Proceedings of the 2nd UK-RAS Robotics and Autonomous Systems Conference, Loughborough, 24 January 2019. London: UK-RAS Network, pp. 60-63.

ADAMA, D.A., LOTFI, A. and RANSON, R., 2019. Fuzzy transfer learning of human activities in heterogeneous feature spaces. In: Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments - PETRA '19, Rhodes, Greece, 5-7 June 2019. New York: ACM, pp. 593-598. ISBN 9781450362320

ADAMA, D.A., LOTFI, A. and LANGENSIEPEN, C., 2019. Key frame extraction and classification of human activities using motion energy. 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. Advances in intelligent systems and computing (AISC), 840 . Cham: Springer, pp. 303-311. ISBN 9783319979816

ADAMA, D.A., LOTFI, A., LANGENSIEPEN, C., LEE, K. and TRINDADE, P., 2018. Human activity learning for assistive robotics using a classifier ensemble. Soft Computing: a Fusion of Foundations, Methodologies and Applications, 22 (21), pp. 7027-7039. ISSN 1432-7643

ADAMA, D.A., LOTFI, A., LANGENSIEPEN, C. and LEE, K., 2017. Human activities transfer learning for assistive robotics. In: F. CHAO, S. SCHOCKAERT and Q. ZHANG, eds., Advances in computational intelligence systems: contributions presented at the 17th UK Workshop on Computational Intelligence, Cardiff, 6-8 September 2017. Advances in intelligent systems and computing (650). Cham: Springer, pp. 253-264. ISBN 9783319669380

ADAMA, D.A., LOTFI, A., LANGENSIEPEN, C., LEE, K. and TRINDADE, P., 2017. Learning human activities for assisted living robotics. In: Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments, PETRA '17, Island of Rhodes, Greece, 21-23 June 2017. New York: ACM, pp. 286-292. ISBN 9781450352277

MACHADO, P., COSTALAGO MERUELO, A., PETRUSHIN, A., FERRARA, L., LAMA, N., ADAMA, D.A., APPIAH, K., BLAU, A. and MCGINNITY, T.M., 2016. Si elegans: evaluation of an innovative optical synaptic connectivity method for C. elegans phototaxis using FPGAs. In: Proceedings of the 2016 IEEE International Joint Conference on Neural Networks (IJCNN), Vancouver, Canada, 24-29 July 2016. Piscataway, New Jersey: IEEE, pp. 185-191. ISBN 9781509006205