Muhammad Awais

35 papers C 1Misc 2Journal 23Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	C	`conf`	Human Emotion Detection Using Eeg Signals: Insights Into Feature Selection. BIBE Yeva Yesypenko, Muhammad Awais
2025	J	`jnl`	NIOM-DGA: Nature-inspired optimised ML-based model for DGA detection. Comput. Secur. Daniel Jeremiah, Husnain Rafiq, Ta Vinh Thong, Muhammad Usman, Mohsin Raza, Muhammad Awais
2024	Misc	`conf`	Enhancing Access Control, Authorization, and Accountability in Cyber-Physical Systems Using Machine Learning. FIT Isaac Adom, Muhammad Awais, Mohsin Raza, Umar F. Khan, Omer Chughtai
2024	—	`conf`	LLM Based Cross Modality Retrieval to Improve Recommendation Performance. ICAC Fahad Anwaar, Adil Mehmood Khan, Muhammad Khalid, Ammad Khalil, Muhammad Awais
2023	J	`jnl`	Deep Learning Based Anomaly Detection for Fog-Assisted IoVs Network. IEEE Access Shumayla Yaqoob, Asad Hussain, Fazli Subhan, Giuseppina Pappalardo, Muhammad Awais
2023	J	`jnl`	Machine-Learning-Enabled Obesity Level Prediction Through Electronic Health Records. Comput. Syst. Sci. Eng. Saeed Ali Alsareii, Muhammad Awais, Abdulrahman Manaa Alamri, Mansour Yousef AlAsmari, Muhammad Irfan, Mohsin Raza, Umer Manzoor
2023	—	`conf`	Middleware for Resource Sharing in Fog Computing with IoT Applications. EUROCON Hezekiah Samwini, Muhammad Awais, Ella Pereira
2022	J	`jnl`	False Data Injection Detection for Phasor Measurement Units. Sensors Saleh Almasabi, Turki Alsuwian, Muhammad Awais, Muhammad Irfan, Mohammad Jalalah, Belqasem Aljafari, Farid A. Harraz
2022	J	`jnl`	Machine Learning and Internet of Things Enabled Monitoring of Post-Surgery Patients: A Pilot Study. Sensors Saeed Ali Alsareii, Mohsin Raza, Abdulrahman Manaa Alamri, Mansour Yousef AlAsmari, Muhammad Irfan, Umar F. Khan, Muhammad Awais
2021	J	`jnl`	A Novel Feature Extraction and Fault Detection Technique for the Intelligent Fault Identification of Water Pump Bearings. Sensors Muhammad Irfan, Abdullah S. Alwadie, Adam Glowacz, Muhammad Awais, Saifur Rahman, Mohammad Kamal Asif Khan, Mohammad Jalalah, Omar AlShorman, Wahyu Caesarendra
2021	J	`jnl`	Autonomous Transportation in Emergency Healthcare Services: Framework, Challenges, and Future Work. IEEE Internet Things Mag. Muhammad Khalid, Muhammad Awais, Nishant Singh, Suleman Khan, Mohsin Raza, Qasim Badar Malik, Muhammad Imran
2021	J	`jnl`	Challenges and Limitations of Internet of Things Enabled Healthcare in COVID-19. IEEE Internet Things Mag. Mohsin Raza, Nishant Singh, Muhammad Khalid, Suleman Khan, Muhammad Awais, Muhammad Usman Hadi, Muhammad Imran, Saif ul Islam, Joel J. P. C. Rodrigues
2021	J	`jnl`	Classical Machine Learning Versus Deep Learning for the Older Adults Free-Living Activity Classification. Sensors Muhammad Awais, Lorenzo Chiari, Espen A. F. Ihlen, Jorunn L. Helbostad, Luca Palmerini
2021	J	`jnl`	Intelligent IoT Framework for Indoor Healthcare Monitoring of Parkinson's Disease Patient. IEEE J. Sel. Areas Commun. Mohsin Raza, Muhammad Awais, Nishant Singh, Muhammad Imran, Sajjad Hussain
2021	J	`jnl`	LSTM-Based Emotion Detection Using Physiological Signals: IoT Framework for Healthcare and Distance Learning in COVID-19. IEEE Internet Things J. Muhammad Awais, Mohsin Raza, Nishant Singh, Kiran Bashir, Umar Manzoor, Saif ul Islam, Joel J. P. C. Rodrigues
2021	J	`jnl`	Novel congestion avoidance scheme for Internet of Drones. Comput. Commun. Shumayla Yaqoob, Ata Ullah, Muhammad Awais, Iyad A. Katib, Aiiad Albeshri, Rashid Mehmood, Mohsin Raza, Saif ul Islam, Joel J. P. C. Rodrigues
2021	J	`jnl`	Review and Implementation of Resilient Public Safety Networks: 5G, IoT, and Emerging Technologies. IEEE Netw. Kamran Ali, Huan Xuan Nguyen, Quoc-Tuan Vien, Purav Shah, Mohsin Raza, Vishnu Vardhan Paranthaman, Btissam Er-Rahmadi, Muhammad Awais, Saif ul Islam, Joel J. P. C. Rodrigues
2021	J	`jnl`	Treating Class Imbalance in Non-Technical Loss Detection: An Exploratory Analysis of a Real Dataset. IEEE Access Khawaja Moyeezullah Ghori, Muhammad Awais, Akmal Saeed Khattak, Muhammad Imran, Fazal-e-Amin, Laszlo Szathmary
2020	J	`jnl`	Establishing effective communications in disaster affected areas and artificial intelligence based detection using social media platform. Future Gener. Comput. Syst. Mohsin Raza, Muhammad Awais, Kamran Ali, Nauman Aslam, Vishnu Vardhan Paranthaman, Muhammad Imran, Farman Ali
2020	J	`jnl`	Performance Analysis of Different Types of Machine Learning Classifiers for Non-Technical Loss Detection. IEEE Access Khawaja Moyeezullah Ghori, Rabeeh Ayaz Abbasi, Muhammad Awais, Muhammad Imran, Ata Ullah, Laszlo Szathmary
2019	—	`conf`	A Condition Monitoring System for the Analysis of Bearing Distributed Faults. UEMCON Muhammad Irfan, Nordin Bin Saad, Ansar Ali, K. Vinoth Kumar, Muhammad Aman Sheikh, Muhammad Awais
2019	J	`jnl`	An Internet of Things Based Bed-Egress Alerting Paradigm Using Wearable Sensors in Elderly Care Environment. Sensors Muhammad Awais, Mohsin Raza, Kamran Ali, Zulfiqar Ali, Muhammad Irfan, Omer Chughtai, Imran Khan, Sunghwan Kim, Masood Ur Rehman
2019	J	`jnl`	Diagnosis and monitoring of Alzheimer's patients using classical and deep learning techniques. Expert Syst. Appl. Mohsin Raza, Muhammad Awais, W. Ellahi, Nauman Aslam, Huan Xuan Nguyen, Hoang Minh Le
2019	J	`jnl`	Physical Activity Classification for Elderly People in Free-Living Conditions. IEEE J. Biomed. Health Informatics Muhammad Awais, Lorenzo Chiari, Espen Alexander Fürst Ihlen, Jorunn L. Helbostad, Luca Palmerini
2017	J	`jnl`	A Comparative Study on Context Assessment Approaches in Mobile Robots. J. Inf. Sci. Eng. Muhammad Awais, Samreen Nawaz, Muhammad Sheraz Arshad Malik, Fazal-e-Amin
2017	J	`jnl`	A Hybrid Approach to Detect Driver Drowsiness Utilizing Physiological Signals to Improve System Performance and Wearability. Sensors Muhammad Awais, Nasreen Badruddin, Micheal Drieberg
2017	—	`conf`	Classification of SD-OCT images using a Deep learning approach. ICSIPA Muhammad Awais, Henning Müller, Tong Boon Tang, Fabrice Mériaudeau
2017	Misc	`conf`	EEG Brain Connectivity Analysis to Detect Driver Drowsiness Using Coherence. FIT Muhammad Awais, Nasreen Badruddin, Micheal Drieberg
2017	—	`conf`	Mammogram classification using deep learning features. ICSIPA Syed Jamal Safdar Gardezi, Muhammad Awais, Ibrahima Faye, Fabrice Mériaudeau
2017	J	`jnl`	Quantitative comparison of motion history image variants for video-based depression assessment. EURASIP J. Image Video Process. Anastasia Pampouchidou, Matthew Pediaditis, Anna Maridaki, Muhammad Awais, Calliope-Marina Vazakopoulou, Stelios Sfakianakis, Manolis Tsiknakis, Panagiotis G. Simos, Kostas Marias, Fan Yang, Fabrice Mériaudeau
2017	—	`conf`	Transfer learning for Diabetic Macular Edema (DME) detection on Optical Coherence Tomography (OCT) images. ICSIPA Genevieve C. Y. Chan, Muhammad Awais, Syed A. A. Shah, Tong Boon Tang, Cheng-Kai Lu, Fabrice Mériaudeau
2016	J	`jnl`	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 Muhammad Awais, Luca Palmerini, Alan K. Bourke, Espen A. F. Ihlen, Jorunn L. Helbostad, Lorenzo Chiari
2016	—	`conf`	Physical activity classification meeting daily life conditions. UbiComp Adjunct Muhammad Awais
2016	—	`conf`	Physical activity classification using body-worn inertial sensors in a multi-sensor setup. RTSI Muhammad Awais, Luca Palmerini, Lorenzo Chiari
2015	—	`conf`	Physical activity classification meets daily life: Review on existing methodologies and open challenges. EMBC Muhammad Awais, Sabato Mellone, Lorenzo Chiari