Abdulmajid Murad
About
PUBLICATIONS:
2023:
- Doctoral Thesis: Uncertainty-Aware Autonomous Sensing with Deep Reinforcement Learning. Trondheim, Norway: ntnu 2023 (ISBN 978-82-326-6974-5) 207 s.
NTNU
2021:
-
Murad, A.; Kraemer, F.A.; Bach, K.; Taylor, G.; Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting. Sensors 21(23), November 2021.
-
Klemsdal, E.; Herland, S.; Murad, A.; "Learning Task Agnostic Skills with Data-driven Guidance". ICML 2021 workshop on Unsupervised Reinforcement Learning, July 18--24, 2021, Vienna, Austria.
2020:
- Murad, A.; Kraemer, F.A.; Bach, K.; Taylor, G.; Information-Driven Adaptive Sensing based on Deep Reinforcement Learning. Proceeding of the 10th International Conference on the Internet of Things, October 4--9, 2020, Malmö, Sweden.
2019:
- Murad, A.; Kraemer, F.A.; Bach, K.; Taylor, G.; Autonomous Management of Energy-Harvesting IoT Nodes using Deep Reinforcement Learning. Proceeding of the IEEE 13th International Conference on Self-Adaptive and Self-Organizing Systems (SASO), June 16--20, 2019, Umeå, Sweden.
- Murad, A.; Kraemer, F.A.; Bach, K.; Taylor, G.; IoT Sensor Gym: Training Autonomous IoT Devices with Deep Reinforcement Learning. Proceeding of the 9th International Conference on the Internet of Things, October 22--25, 2019, Bilbao, Spain.
2017:
- Murad, A.; Pyun, J.; Deep Recurrent Neural Networks for Human Activity Recognition. Sensors 17(11), November 2017.
Publications
2021
-
Murad, Abdulmajid;
Kraemer, Frank Alexander;
Bach, Kerstin;
Taylor, Gavin.
(2021)
Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting.
Sensors.
volum 21 (23).
Academic article
2020
-
Murad, Abdulmajid;
Kraemer, Frank Alexander;
Bach, Kerstin;
Taylor, Gavin.
(2020)
Information-Driven Adaptive Sensing Based on Deep Reinforcement Learning.
IoT '20: Proceedings of the 10th International Conference on the Internet of Things.
Academic chapter/article/Conference paper
2019
-
Murad, Abdulmajid Abdullah Yahya;
Kraemer, Frank Alexander;
Bach, Kerstin;
Taylor, Gavin.
(2019)
Autonomous Management of Energy-Harvesting IoT Nodes Using Deep Reinforcement Learning.
2019 IEEE 13th International Conference on Self-Adaptive and Self-Organizing Systems (SASO).
Academic chapter/article/Conference paper
-
Murad, Abdulmajid Abdullah Yahya;
Kraemer, Frank Alexander;
Bach, Kerstin;
Taylor, Gavin.
(2019)
IoT Sensor Gym: Training Autonomous IoT Devices with Deep Reinforcement Learning.
9th International Conference on the Internet of Things (IoT 2019), October 22--25, 2019, Bilbao, Spain.
Academic chapter/article/Conference paper
Journal publications
-
Murad, Abdulmajid;
Kraemer, Frank Alexander;
Bach, Kerstin;
Taylor, Gavin.
(2021)
Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting.
Sensors.
volum 21 (23).
Academic article
Part of book/report
-
Murad, Abdulmajid;
Kraemer, Frank Alexander;
Bach, Kerstin;
Taylor, Gavin.
(2020)
Information-Driven Adaptive Sensing Based on Deep Reinforcement Learning.
IoT '20: Proceedings of the 10th International Conference on the Internet of Things.
Academic chapter/article/Conference paper
-
Murad, Abdulmajid Abdullah Yahya;
Kraemer, Frank Alexander;
Bach, Kerstin;
Taylor, Gavin.
(2019)
Autonomous Management of Energy-Harvesting IoT Nodes Using Deep Reinforcement Learning.
2019 IEEE 13th International Conference on Self-Adaptive and Self-Organizing Systems (SASO).
Academic chapter/article/Conference paper
-
Murad, Abdulmajid Abdullah Yahya;
Kraemer, Frank Alexander;
Bach, Kerstin;
Taylor, Gavin.
(2019)
IoT Sensor Gym: Training Autonomous IoT Devices with Deep Reinforcement Learning.
9th International Conference on the Internet of Things (IoT 2019), October 22--25, 2019, Bilbao, Spain.
Academic chapter/article/Conference paper
Media
2019
-
PosterMurad, Abdulmajid Abdullah Yahya; Kraemer, Frank Alexander; Bach, Kerstin; Taylor, Gavin. (2019) IoT Sensor Gym: Training Autonomous IoT Devices with Deep Reinforcement Learning (Poster). IoT 20019 ; 2019-10-22 - 2019-10-25.