Muhammad Awais
Orcid: 0000-0001-6421-9245Affiliations:
- University of Leeds, Faculty of Medicine and Health, School of Psychology, UK
- University of Bologna, Italy
- Universiti Teknologi PETRONAS, Department of Electrical and Electronic Engineering, Malaysia
According to our database1,
Muhammad Awais
authored at least 31 papers
between 2015 and 2024.
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Bibliography
2024
Proceedings of the 29th International Conference on Automation and Computing, 2024
2023
ACM Trans. Embed. Comput. Syst., July, 2023
Comput. Syst. Sci. Eng., 2023
IEEE Access, 2023
2022
Machine Learning and Internet of Things Enabled Monitoring of Post-Surgery Patients: A Pilot Study.
Sensors, 2022
2021
A Novel Feature Extraction and Fault Detection Technique for the Intelligent Fault Identification of Water Pump Bearings.
Sensors, 2021
Classical Machine Learning Versus Deep Learning for the Older Adults Free-Living Activity Classification.
Sensors, 2021
Review and Implementation of Resilient Public Safety Networks: 5G, IoT, and Emerging Technologies.
IEEE Netw., 2021
Intelligent IoT Framework for Indoor Healthcare Monitoring of Parkinson's Disease Patient.
IEEE J. Sel. Areas Commun., 2021
IEEE Internet Things Mag., 2021
Autonomous Transportation in Emergency Healthcare Services: Framework, Challenges, and Future Work.
IEEE Internet Things Mag., 2021
LSTM-Based Emotion Detection Using Physiological Signals: IoT Framework for Healthcare and Distance Learning in COVID-19.
IEEE Internet Things J., 2021
Treating Class Imbalance in Non-Technical Loss Detection: An Exploratory Analysis of a Real Dataset.
IEEE Access, 2021
2020
Establishing effective communications in disaster affected areas and artificial intelligence based detection using social media platform.
Future Gener. Comput. Syst., 2020
Performance Analysis of Different Types of Machine Learning Classifiers for Non-Technical Loss Detection.
IEEE Access, 2020
2019
IEEE J. Biomed. Health Informatics, 2019
An Internet of Things Based Bed-Egress Alerting Paradigm Using Wearable Sensors in Elderly Care Environment.
Sensors, 2019
Diagnosis and monitoring of Alzheimer's patients using classical and deep learning techniques.
Expert Syst. Appl., 2019
Proceedings of the 10th IEEE Annual Ubiquitous Computing, 2019
2017
A Hybrid Approach to Detect Driver Drowsiness Utilizing Physiological Signals to Improve System Performance and Wearability.
Sensors, 2017
Quantitative comparison of motion history image variants for video-based depression assessment.
EURASIP J. Image Video Process., 2017
Proceedings of the 2017 IEEE International Conference on Signal and Image Processing Applications, 2017
Transfer learning for Diabetic Macular Edema (DME) detection on Optical Coherence Tomography (OCT) images.
Proceedings of the 2017 IEEE International Conference on Signal and Image Processing Applications, 2017
Proceedings of the 2017 IEEE International Conference on Signal and Image Processing Applications, 2017
Proceedings of the 2017 International Conference on Frontiers of Information Technology, 2017
2016
Performance Evaluation of State of the Art Systems for Physical Activity Classification of Older Subjects Using Inertial Sensors in a Real Life Scenario: A Benchmark Study.
Sensors, 2016
Physical activity classification using body-worn inertial sensors in a multi-sensor setup.
Proceedings of the 2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow, 2016
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016
2015
Physical activity classification meets daily life: Review on existing methodologies and open challenges.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015