Items where Author is "Rahman, MA"

Journal article

TURABEE, Z.B., BROWN, D.J., MAHMUD, M., OIKONOMOU, A., BURTON, A., SHOPLAND, N. and RAHMAN, M.A., 2025. Approaches for meltdown detection in children with autism: a scoping review. Journal of Enabling Technologies. ISSN 2398-6263 (Forthcoming)

RAHMAN, M.A., BROWN, D.J., MAHMUD, M., HARRIS, M., SHOPLAND, N., HEYM, N., SUMICH, A., TURABEE, Z.B., STANDEN, B., DOWNES, D., XING, Y., THOMAS, C., HADDICK, S., PREMKUMAR, P., NASTASE, S., BURTON, A. and LEWIS, J., 2023. Enhancing biofeedback-driven self-guided virtual reality exposure therapy through arousal detection from multimodal data using machine learning. Brain Informatics, 10: 14. ISSN 2198-4018

MAMUN, M.A., AKTER, S., HOSSAIN, I., FAISAL, M.T.H., RAHMAN, M.A., AREFIN, A., KHAN, I., HOSSAIN, L., HAQUE, M.A., HOSSAIN, S., HOSSAIN, M., SIKDER, T., KIRCABURUN, K. and GRIFFITHS, M.D., 2020. Financial threat, hardship and distress predict depression, anxiety and stress among the unemployed youths: a Bangladeshi multi-cities study. Journal of Affective Disorders. ISSN 0165-0327

HSAN, K., NAHER, S., GRIFFITHS, M.D., SHAMOL, H.H. and RAHMAN, M.A., 2019. Factors associated with practice of water, sanitation and hygiene (WASH) among the Rohingya refugees in Bangladesh. Journal of Water, Sanitation and Hygiene for Development, 9 (4), pp. 794-800. ISSN 2043-9083

MAHMUD, M., KAISER, M.S., RAHMAN, M.M., RAHMAN, M.A., SHABUT, A., AL-MAMUN, S. and HUSSAIN, A., 2018. A brain-inspired trust management model to assure security in a cloud based IoT framework for neuroscience applications. Cognitive Computation. ISSN 1866-9956

Chapter in book

TURABEE, Z.B., BROWN, D.J., MAHMUD, M., OIKONOMOU, A., BURTON, A., SHOPLAND, N., RAHMAN, M.A., CLARKE, D. and GRAY, F., 2025. A privacy-preserving approach for engagement and meltdown detection in children with autism using machine learning models. In: M. MAHMUD, M. DOBORJEH, K. WONG, A.C.S. LEUNG, Z. DOBORJEH and M. TANVEER, eds., Neural information processing: 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, proceedings, part IV. Communications in Computer and Information Science . Singapore: Springer, pp. 274-286. ISBN 9789819669561

SHEN, Y., MAHMUD, M., RAI, T., HE, J., BROWN, D.J., RAHMAN, M.A., KAUR, J., BALDWIN, D.R., O’DOWD, E. and HUBBARD, R.B., 2025. Improving healthcare outcomes by identifying populations with higher risk of lung cancer from primary care data. In: M. MAHMUD, M. DOBORJEH, K. WONG, A.C.S. LEUNG, Z. DOBORJEH and M. TANVEER, eds., Neural information processing: 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, proceedings, part V. Lecture Notes in Computer Science . Singapore: Springer, pp. 152-166. ISBN 9789819665877

HARRIS, M.C., FRYER, D.L., MAHMUD, M., RAHMAN, M.A., VYAS, P., SHOPLAND, N., CONNOR, B., LEWIS, J. and BROWN, D.J., 2025. Towards a machine learning model to classify cognitive ability using EEG data and virtual spatial navigation task scores in intellectually disabled adults. In: M. MAHMUD, M. DOBORJEH, K. WONG, A.C.S. LEUNG, Z. DOBORJEH and M. TANVEER, eds., Neural information processing: 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, proceedings, part XV. Communications in Computer and Information Science . Singapore: Springer, pp. 188-202. ISBN 9789819670321

RAHMAN, M.H., SARKER, N.H., ANWAR, M.M., MAHMUD, M., BROWN, D.J. and RAHMAN, M.A., 2025. A Gaussian process framework for prognostication and visualization in dermatological oncology. In: M. MAHMUD, M. DOBORJEH, K. WONG, A.C.S. LEUNG, Z. DOBORJEH and M. TANVEER, eds., Neural information processing: 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, proceedings, part V. Communications in Computer and Information Science . Singapore: Springer, pp. 341-355. ISBN 9789819669592

RAHMAN, M.A., BROWN, D.J., SHOPLAND, N., HARRIS, M.C., TURABEE, Z.B., HEYM, N., SUMICH, A., STANDEN, B., DOWNES, D., XING, Y., THOMAS, C., HADDICK, S., PREMKUMAR, P., NASTASE, S., BURTON, A., LEWIS, J. and MAHMUD, M., 2022. Towards machine learning driven self-guided virtual reality exposure therapy based on arousal state detection from multimodal data. In: M. MAHMUD, J. HE, S. VASSANELLI, A. VAN ZUNDERT and N. ZHONG, eds., Brain Informatics: 15th International Conference, BI 2022, Padua, Italy, July 15–17, 2022, proceedings. Cham: Springer, pp. 195-209. ISBN 9783031150364

RAHMAN, M.A., BROWN, D.J., SHOPLAND, N., HARRIS, M.C., TURABEE, Z.B., HEYM, N., SUMICH, A., STANDEN, B., DOWNES, D., XING, Y., THOMAS, C., HADDICK, S., PREMKUMAR, P., NASTASE, S., BURTON, A., LEWIS, J. and MAHMUD, M., 2022. Towards machine learning driven self-guided virtual reality exposure therapy based on arousal state detection from multimodal data. In: M. MAHMUD, J. HE, S. VASSANELLI, A. VAN ZUNDERT and N. ZHONG, eds., Brain Informatics: 15th International Conference, BI 2022, Padua, Italy, July 15–17, 2022, Proceedings. Cham: Springer International Publishing, pp. 195-209. ISBN 9783031150364