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ORCIDMuhammad Awais 0003
Person information
- affiliation: University of Leeds, Faculty of Medicine and Health, School of Psychology, UK
- affiliation: University of Bologna, Italy
- affiliation: Universiti Teknologi PETRONAS, Department of Electrical and Electronic Engineering, Malaysia
Other persons with the same name
- Muhammad Awais — disambiguation page
- Muhammad Awais 0001
![[0000-0002-1122-0709]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-1122-0709")
— University of Surrey, Centre for Vision, Speech and Signal Processing, Guildford, UK - Muhammad Awais 0002 — COMSATS University Islamabad, Department of Electrical and Computer Engineering, Pakistan (and 2 more)
- Muhammad Awais 0004 — COMSATS University Islamabad, Department of Electrical and Computer Engineering, Wah Campus, Pakistan (and 1 more)
- Muhammad Awais 0005 (aka: Muhammad Awais Qureshi) — University of Lahore, Department of Technology, Pakistan (and 1 more)
- Muhammad Awais 0006 (aka: Muhammad Awais Mahboob) — University of Engineering and Technology, Department of Computer Science, Taxila, Pakistan
- Muhammad Awais 0007 — Government College University Faisalabad, Pakistan (and 1 more)
- Muhammad Awais 0008 — Fudan University, Department of Electronic Engineering, Shanghai, China
- Muhammad Awais 0009 — University of Paderborn, Department of Computer Science, Germany
- Muhammad Awais 0010 — COMSATS Institute of Information Technology, Department of Mathematics, Islamabad, Pakistan
- Muhammad Awais 0011 — University of Management and Technology, Lahore, Punjab, Pakistan
- Muhammad Awais Hassan (aka: Muhammad Awais 0012) — University of Engineering and Technology at Lahore, Department of Computer Science, Pakistan
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2020 – today
- 2024
[c11]Isaac Adom, Muhammad Awais, Mohsin Raza, Umar F. Khan, Omer Chughtai:
Enhancing Access Control, Authorization, and Accountability in Cyber-Physical Systems Using Machine Learning. FIT 2024: 1-6- [c10]Fahad Anwaar, Adil Mehmood Khan, Muhammad Khalid, Ammad Khalil, Muhammad Awais:
LLM Based Cross Modality Retrieval to Improve Recommendation Performance. ICAC 2024: 1-6 - 2023
- [j22]Shumayla Yaqoob, Asad Hussain, Fazli Subhan, Giuseppina Pappalardo, Muhammad Awais:
Deep Learning Based Anomaly Detection for Fog-Assisted IoVs Network. IEEE Access 11: 19024-19038 (2023) - [j21]Saeed Ali Alsareii, Muhammad Awais, Abdulrahman Manaa Alamri, Mansour Yousef AlAsmari, Muhammad Irfan, Mohsin Raza, Umer Manzoor:
Machine-Learning-Enabled Obesity Level Prediction Through Electronic Health Records. Comput. Syst. Sci. Eng. 46(3): 3715-3728 (2023) - [c9]Hezekiah Samwini, Muhammad Awais, Ella Pereira:
Middleware for Resource Sharing in Fog Computing with IoT Applications. EUROCON 2023: 508-513 - 2022
- [j20]Saeed Ali Alsareii, Mohsin Raza, Abdulrahman Manaa Alamri, Mansour Yousef AlAsmari, Muhammad Irfan, Umar F. Khan, Muhammad Awais:
Machine Learning and Internet of Things Enabled Monitoring of Post-Surgery Patients: A Pilot Study. Sensors 22(4): 1420 (2022) - [j19]Saleh Almasabi, Turki Alsuwian, Muhammad Awais, Muhammad Irfan, Mohammad Jalalah, Belqasem Aljafari, Farid A. Harraz:
False Data Injection Detection for Phasor Measurement Units. Sensors 22(9): 3146 (2022) - 2021
- [j18]Khawaja Moyeezullah Ghori, Muhammad Awais, Akmal Saeed Khattak, Muhammad Imran, Fazal-e-Amin, Laszlo Szathmary:
Treating Class Imbalance in Non-Technical Loss Detection: An Exploratory Analysis of a Real Dataset. IEEE Access 9: 98928-98938 (2021) - [j17]Shumayla Yaqoob, Ata Ullah, Muhammad Awais, Iyad A. Katib, Aiiad Albeshri, Rashid Mehmood, Mohsin Raza, Saif ul Islam, Joel J. P. C. Rodrigues:
Novel congestion avoidance scheme for Internet of Drones. Comput. Commun. 169: 202-210 (2021) - [j16]Muhammad Awais, Mohsin Raza, Nishant Singh, Kiran Bashir, Umar Manzoor, Saif ul Islam, Joel J. P. C. Rodrigues:
LSTM-Based Emotion Detection Using Physiological Signals: IoT Framework for Healthcare and Distance Learning in COVID-19. IEEE Internet Things J. 8(23): 16863-16871 (2021) - [j15]Muhammad Khalid, Muhammad Awais, Nishant Singh, Suleman Khan, Mohsin Raza, Qasim Badar Malik, Muhammad Imran:
Autonomous Transportation in Emergency Healthcare Services: Framework, Challenges, and Future Work. IEEE Internet Things Mag. 4(1): 28-33 (2021) - [j14]Mohsin Raza, Nishant Singh, Muhammad Khalid, Suleman Khan, Muhammad Awais, Muhammad Usman Hadi, Muhammad Imran, Saif ul Islam, Joel J. P. C. Rodrigues:
Challenges and Limitations of Internet of Things Enabled Healthcare in COVID-19. IEEE Internet Things Mag. 4(3): 60-65 (2021) - [j13]Mohsin Raza, Muhammad Awais, Nishant Singh, Muhammad Imran, Sajjad Hussain:
Intelligent IoT Framework for Indoor Healthcare Monitoring of Parkinson's Disease Patient. IEEE J. Sel. Areas Commun. 39(2): 593-602 (2021) - [j12]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:
Review and Implementation of Resilient Public Safety Networks: 5G, IoT, and Emerging Technologies. IEEE Netw. 35(2): 18-25 (2021) - [j11]Muhammad Irfan, Abdullah S. Alwadie, Adam Glowacz, Muhammad Awais, Saifur Rahman, Mohammad Kamal Asif Khan, Mohammad Jalalah, Omar AlShorman, Wahyu Caesarendra:
A Novel Feature Extraction and Fault Detection Technique for the Intelligent Fault Identification of Water Pump Bearings. Sensors 21(12): 4225 (2021) - [j10]Muhammad Awais, Lorenzo Chiari, Espen A. F. Ihlen, Jorunn L. Helbostad, Luca Palmerini:
Classical Machine Learning Versus Deep Learning for the Older Adults Free-Living Activity Classification. Sensors 21(14): 4669 (2021) - 2020
- [j9]Khawaja Moyeezullah Ghori, Rabeeh Ayaz Abbasi, Muhammad Awais, Muhammad Imran, Ata Ullah, Laszlo Szathmary:
Performance Analysis of Different Types of Machine Learning Classifiers for Non-Technical Loss Detection. IEEE Access 8: 16033-16048 (2020) - [j8]Mohsin Raza, Muhammad Awais, Kamran Ali, Nauman Aslam, Vishnu Vardhan Paranthaman, Muhammad Imran, Farman Ali:
Establishing effective communications in disaster affected areas and artificial intelligence based detection using social media platform. Future Gener. Comput. Syst. 112: 1057-1069 (2020)
2010 – 2019
- 2019
- [j7]Mohsin Raza, Muhammad Awais, W. Ellahi, Nauman Aslam, Huan Xuan Nguyen, Hoang Minh Le:
Diagnosis and monitoring of Alzheimer's patients using classical and deep learning techniques. Expert Syst. Appl. 136: 353-364 (2019) - [j6]Muhammad Awais, Mohsin Raza, Kamran Ali, Zulfiqar Ali, Muhammad Irfan, Omer Chughtai, Imran Khan, Sunghwan Kim, Masood Ur Rehman:
An Internet of Things Based Bed-Egress Alerting Paradigm Using Wearable Sensors in Elderly Care Environment. Sensors 19(11): 2498 (2019) - [j5]Muhammad Awais, Lorenzo Chiari, Espen Alexander Fürst Ihlen, Jorunn L. Helbostad, Luca Palmerini:
Physical Activity Classification for Elderly People in Free-Living Conditions. IEEE J. Biomed. Health Informatics 23(1): 197-207 (2019) - [c8]Muhammad Irfan, Nordin Bin Saad, Ansar Ali, K. Vinoth Kumar, Muhammad Aman Sheikh, Muhammad Awais:
A Condition Monitoring System for the Analysis of Bearing Distributed Faults. UEMCON 2019: 911-915 - 2017
- [j4]Anastasia Pampouchidou, Matthew Pediaditis, Anna Maridaki, Muhammad Awais, Calliope-Marina Vazakopoulou, Stelios Sfakianakis, Manolis Tsiknakis, Panagiotis G. Simos, Kostas Marias, Fan Yang, Fabrice Mériaudeau:
Quantitative comparison of motion history image variants for video-based depression assessment. EURASIP J. Image Video Process. 2017: 64 (2017) - [j3]Muhammad Awais, Samreen Nawaz, Muhammad Sheraz Arshad Malik, Fazal-e-Amin:
A Comparative Study on Context Assessment Approaches in Mobile Robots. J. Inf. Sci. Eng. 33(6): 1531-1546 (2017) - [j2]Muhammad Awais, Nasreen Badruddin, Micheal Drieberg:
A Hybrid Approach to Detect Driver Drowsiness Utilizing Physiological Signals to Improve System Performance and Wearability. Sensors 17(9): 1991 (2017) - [c7]Muhammad Awais, Nasreen Badruddin, Micheal Drieberg:
EEG Brain Connectivity Analysis to Detect Driver Drowsiness Using Coherence. FIT 2017: 110-114 - [c6]Syed Jamal Safdar Gardezi, Muhammad Awais, Ibrahima Faye, Fabrice Mériaudeau:
Mammogram classification using deep learning features. ICSIPA 2017: 485-488 - [c5]Muhammad Awais, Henning Müller, Tong Boon Tang, Fabrice Mériaudeau:
Classification of SD-OCT images using a Deep learning approach. ICSIPA 2017: 489-492 - [c4]Genevieve C. Y. Chan, Muhammad Awais, Syed A. A. Shah, Tong Boon Tang, Cheng-Kai Lu, Fabrice Mériaudeau:
Transfer learning for Diabetic Macular Edema (DME) detection on Optical Coherence Tomography (OCT) images. ICSIPA 2017: 493-496 - 2016
- [j1]Muhammad Awais, Luca Palmerini, Alan K. Bourke, Espen A. F. Ihlen, Jorunn L. Helbostad, Lorenzo Chiari:
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 16(12): 2105 (2016) - [c3]Muhammad Awais:
Physical activity classification meeting daily life conditions. UbiComp Adjunct 2016: 393-398 - [c2]Muhammad Awais, Luca Palmerini, Lorenzo Chiari:
Physical activity classification using body-worn inertial sensors in a multi-sensor setup. RTSI 2016: 1-4 - 2015
- [c1]Muhammad Awais, Sabato Mellone, Lorenzo Chiari:
Physical activity classification meets daily life: Review on existing methodologies and open challenges. EMBC 2015: 5050-5053
Coauthor Index
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