| Deep recurrent neural networks for human activity recognition A Murad, JY Pyun Sensors 17 (11), 2556, 2017 | 494 | 2017 |
| Autonomous management of energy-harvesting iot nodes using deep reinforcement learning A Murad, FA Kraemer, K Bach, G Taylor 2019 IEEE 13th International Conference on Self-Adaptive and Self-Organizing …, 2019 | 41 | 2019 |
| Information-driven adaptive sensing based on deep reinforcement learning A Murad, FA Kraemer, K Bach, G Taylor Proceedings of the 10th International Conference on the Internet of Things, 1-8, 2020 | 23 | 2020 |
| IoT sensor gym: Training autonomous IoT devices with deep reinforcement learning A Murad, K Bach, FA Kraemer, G Taylor Proceedings of the 9th International Conference on the Internet of Things, 1-4, 2019 | 11 | 2019 |
| Probabilistic deep learning to quantify uncertainty in air quality forecasting A Murad, FA Kraemer, K Bach, G Taylor Sensors 21 (23), 8009, 2021 | 8 | 2021 |
| P2‐402: BRAIN AGE PREDICTION FROM MINIMALLY PREPROCESSED MRI SCANS USING 3D DEEP RESIDUAL NEURAL NETWORKS A Murad, GR Kwon, JY Pyun Alzheimer's & Dementia 14 (7S_Part_16), P859-P859, 2018 | 3 | 2018 |
| Learning Task Agnostic Skills with Data-driven Guidance E Klemsdal, S Herland, A Murad arXiv preprint arXiv:2108.01869, 2021 | 1 | 2021 |
| „Design and Implementation of Solar Tracking System for Photovoltaic Cells “ A Murad | 1 | 2014 |
| Uncertainty-aware autonomous sensing with deep reinforcement learning A Murad, FA Kraemer, K Bach, G Taylor Future Generation Computer Systems 156, 242-253, 2024 | | 2024 |
| Benchmarking Study for Energy Footprint of Water Bottling in Saudi Arabia MA Irfan, KK Esmaeil, AA Murada, FA Almufadia Energy Engineering 115 (3), 23-34, 2018 | | 2018 |
| Wearable Sensor-Based Human Activity Recognition with Deep Recurrent Neural Networks A Murad Graduate School of Chosun University, 2018 | | 2018 |
