A remote healthcare monitoring framework for diabetes prediction using machine learning J Ramesh, R Aburukba, A Sagahyroon Healthcare Technology Letters 8 (3), 45-57, 2021 | 89 | 2021 |
Atrial fibrillation classification with smart wearables using short-term heart rate variability and deep convolutional neural networks J Ramesh, Z Solatidehkordi, R Aburukba, A Sagahyroon Sensors 21 (21), 7233, 2021 | 38 | 2021 |
Towards validating the effectiveness of obstructive sleep apnea classification from electronic health records using machine learning J Ramesh, N Keeran, A Sagahyroon, F Aloul Healthcare 9 (11), 1450, 2021 | 28 | 2021 |
An IoT deep learning-based home appliances management and classification system Z Solatidehkordi, J Ramesh, AR Al-Ali, A Osman, M Shaaban Energy Reports 9, 503-509, 2023 | 15 | 2023 |
Machine Learning Approach for Smart Distribution Transformers Load Monitoring and Management System J Ramesh, S Shahriar, AR Al-Ali, A Osman, MF Shaaban Energies 15 (21), 7981, 2022 | 10 | 2022 |
Narrative integrated career exploration platform S Shahriar, J Ramesh, M Towheed, T Ameen, A Sagahyroon, AR Al-Ali Frontiers in Education 7, 798950, 2022 | 8 | 2022 |
Deep learning approach for smart home appliances monitoring and classification J Ramesh, AR Al-Ali, A Al Nabulsi, A Osman, M Shaaban 2022 IEEE International Conference on Consumer Electronics (ICCE), 1-5, 2022 | 8 | 2022 |
Investigating the feasibility of assessing depression severity and valence-arousal with wearable sensors using discrete wavelet transforms and machine learning A Ahmed, J Ramesh, S Ganguly, R Aburukba, A Sagahyroon, F Aloul Information 13 (9), 406, 2022 | 7 | 2022 |
Evaluating multimodal wearable sensors for quantifying affective states and depression with neural networks A Ahmed, J Ramesh, S Ganguly, R Aburukba, A Sagahyroon, F Aloul IEEE Sensors Journal, 2023 | 5 | 2023 |
Big Data and IoT System for Utility Power Planning using Commercial Cloud Database J Ramesh, R Aburukba, AR Al-Ali 2020 International Conference on Electrical, Communication, and Computer …, 2020 | 4 | 2020 |
Cloud infrastructure-as-a-service testbed implementation using OpenStack J Ramesh, D Sankalpa, R Aburukba, M Elsakhawy 2022 International Symposium on Networks, Computers and Communications …, 2022 | 3 | 2022 |
Explainable Machine Learning for Vitamin A Deficiency Classification in Schoolchildren J Ramesh, D Sankalpa, A Khamis, A Sagahyroon, F Aloul 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics …, 2022 | 2 | 2022 |
Using generative adversarial networks for conditional creation of Anime posters D Sankalpa, J Ramesh, I Zualkernan 2022 IEEE International Conference on Industry 4.0, Artificial Intelligence …, 2022 | 2 | 2022 |
Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound Videos J Ramesh, NK Dinsdale, PH Yeung, AIL Namburete arXiv preprint arXiv:2405.13235, 2024 | | 2024 |
Uncertainty-aware classification of tuberculosis subtypes with machine learning techniques and probabilistic calibration J Ramesh, Z Solatidehkordi, D Sankalpa, A Khamis, A Sagahyroon, ... AIP Conference Proceedings 3034 (1), 2024 | | 2024 |
Deep Learning Approach for Wind Energy Time-Series Forecasting with Environmental Factors UM Iqbal, J Ramesh, AR Al-Ali 2023 International Conference on Power and Renewable Energy Engineering …, 2023 | | 2023 |
A Survey of Machine Learning Approaches for Detecting Depression Using Smartphone Data Z Solatidehkordi, J Ramesh, M Pasquier, A Sagahyroon, F Aloul 2022 IEEE International Conference on Industry 4.0, Artificial Intelligence …, 2022 | | 2022 |
Artificial Intelligence for Assessing the Correlation Between Sleep Apnoea and Comorbidities J Ramesh | | 2022 |
Smart Monitoring System for Stroke Rehabilitation M Al Atallah, Z Jamil, H Khafagy, M Ummar, F Aloul, A Sagahyroon 2021 IEEE International Conference on Internet of Things and Intelligence …, 2021 | | 2021 |