Abdur Rahim Mohammad Forkan
Abdur Rahim Mohammad Forkan
Senior Research Fellow, AI and Machine Learning, Swinburne University of Technology, Australia
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A context-aware approach for long-term behavioural change detection and abnormality prediction in ambient assisted living
ARM Forkan, I Khalil, Z Tari, S Foufou, A Bouras
Pattern Recognition 48 (3), 628-641, 2015
CoCaMAAL: A cloud-oriented context-aware middleware in ambient assisted living
A Forkan, I Khalil, Z Tari
Future Generation Computer Systems 35, 114-127, 2014
Healthcare 4.0: A review of frontiers in digital health
PP Jayaraman, ARM Forkan, A Morshed, PD Haghighi, YB Kang
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 10 (2 …, 2020
BDCaM: Big data for context-aware monitoring—A personalized knowledge discovery framework for assisted healthcare
ARM Forkan, I Khalil, A Ibaida, Z Tari
IEEE transactions on cloud computing 5 (4), 628-641, 2015
ViSiBiD: A learning model for early discovery and real-time prediction of severe clinical events using vital signs as big data
ARM Forkan, I Khalil, M Atiquzzaman
Computer Networks 113, 244-257, 2017
CorrDetector: A framework for structural corrosion detection from drone images using ensemble deep learning
ARM Forkan, YB Kang, PP Jayaraman, K Liao, R Kaul, G Morgan, ...
Expert Systems with Applications 193, 116461, 2022
The role of AI for developing digital twins in healthcare: The case of cancer care
R Kaul, C Ossai, ARM Forkan, PP Jayaraman, J Zelcer, S Vaughan, ...
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 13 (1 …, 2023
Real-time secure health surveillance for smarter health communities
A Alabdulatif, I Khalil, ARM Forkan, M Atiquzzaman
IEEE Communications Magazine 57 (1), 122-129, 2018
A clinical decision-making mechanism for context-aware and patient-specific remote monitoring systems using the correlations of multiple vital signs
ARM Forkan, I Khalil
Computer methods and programs in biomedicine 139, 1-16, 2017
A vision for leveraging the concept of digital twins to support the provision of personalized cancer care
N Wickramasinghe, PP Jayaraman, ARM Forkan, N Ulapane, R Kaul, ...
IEEE Internet Computing 26 (5), 17-24, 2021
An Industrial IoT Solution for Evaluating Workers’ Performance via Activity Recognition
ARM Forkan, F Montori, D Georgakopoulos, PP Jayaraman, A Yavari, ...
2019 IEEE 39th International Conference on Distributed Computing Systems …, 2019
A probabilistic model for early prediction of abnormal clinical events using vital sign correlations in home-based monitoring
ARM Forkan, I Khalil
2016 IEEE international conference on pervasive computing and communications …, 2016
PEACE-Home: Probabilistic estimation of abnormal clinical events using vital sign correlations for reliable home-based monitoring
ARM Forkan, I Khalil
Pervasive and Mobile Computing 38, 296-311, 2017
An Internet-of-Things solution to assist independent living and social connectedness in elderly
ARM Forkan, P Branch, PP Jayaraman, A Ferretto
ACM Transactions on Social Computing 2 (4), 1-24, 2019
Context-aware cardiac monitoring for early detection of heart diseases
A Forkan, I Khalil, Z Tari
Computing in Cardiology 2013, 277-280, 2013
Weed detection using deep learning: A systematic literature review
NY Murad, T Mahmood, ARM Forkan, A Morshed, PP Jayaraman, ...
Sensors 23 (7), 3670, 2023
A nudge-inspired AI-driven health platform for self-management of diabetes
S Joachim, ARM Forkan, PP Jayaraman, A Morshed, N Wickramasinghe
Sensors 22 (12), 4620, 2022
HalleyAssist: A Personalised Internet of Things Technology to Assist the Elderly in Daily Living
ARM Forkan, P Branch, PP Jayaraman
Proceedings of the 52nd Hawaii International Conference on System Sciences …, 2019
Recognition of conjunctive Bangla characters by artificial neural network
ARM Forkan, S Saha, MM Rahman, MA Sattar
2007 International Conference on Information and Communication Technology, 96-99, 2007
VisCrimePredict: a system for crime trajectory prediction and visualisation from heterogeneous data sources
A Morshed, ARM Forkan, PW Tsai, PP Jayaraman, T Sellis, ...
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 1099-1106, 2019
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