Prof. Dr. Mohammad Mehedi Hassan
Prof. Dr. Mohammad Mehedi Hassan
Professor, Dept. of Information Systems, King Saud University, Riyadh, KSA
Verified email at - Homepage
Cited by
Cited by
Health-CPS: Healthcare Cyber-Physical System Assisted by Cloud and Big Data
Y Zhang, M Qiu, CW Tsai, MM Hassan, A Alamri
IEEE Systems Journal, 1-8, 2015
A robust human activity recognition system using smartphone sensors and deep learning
MM Hassan, MZ Uddin, A Mohamed, A Almogren
Future Generation Computer Systems 81, 307-313, 2018
A survey on sensor-cloud: Architecture, Applications and Approaches
WS Ansari, AM Alamri, M Hassan, M Shoaib
International Journal of Distributed Sensor Networks, 18, 2013
A Hybrid Feature Extraction Method With Regularized Extreme Learning Machine for Brain Tumor Classification
A Gumaei, MM Hassan, MR Hassan, A Alelaiwi, G Fortino
IEEE Access 7, 36266-36273, 2019
A hybrid deep learning model for efficient intrusion detection in big data environment
MM Hassan, A Gumaei, A Alsanad, M Alrubaian, G Fortino
Information Sciences, 2019
Federated Internet of Things and Cloud Computing Pervasive Patient Health Monitoring System
JH Abawajy, MM Hassan
IEEE Communications Magazine 55 (1), 48-53, 2017
Human emotion recognition using deep belief network architecture
MM Hassan, MGR Alam, MZ Uddin, S Huda, A Almogren, G Fortino
Information Fusion 51, 10-18, 2019
A framework of sensor-cloud integration opportunities and challenges
MM Hassan, B Song, EN Huh
Proceedings of the 3rd International Conference on Ubiquitous Information …, 2009
Task Offloading and Resource Allocation for Mobile Edge Computing by Deep Reinforcement Learning Based on SARSA
T Alfakih, MM Hassan, A Gumaei, C Savaglio, G Fortino
IEEE Access 8, 54074-54084, 2020
Enhanced Fingerprinting and Trajectory Prediction for IoT Localization in Smart Buildings
K Lin, M Chen, J Deng, MM Hassan, G Fortino
IEEE Transactions on Automation Science and Engineering, 1-14, 2016
Autonomic computation offloading in mobile edge for IoT applications
MGR Alam, MM Hassan, MZI Uddin, A Almogren, G Fortino
Future Generation Computer Systems, 2018
Secured Data Collection with Hardware-based Ciphers for IoT-based Healthcare
H Tao, MZA Bhuiyan, AN Abdalla, MM Hassan, JM Zain, T Hayajneh
IEEE Internet of Things Journal, 2018
AIWAC: affective interaction through wearable computing and cloud technology
M Chen, Y Zhang, Y Li, M Hassan, A Alamri
Wireless Communications, IEEE 22 (1), 20-27, 2015
Secure Distributed Deduplication Systems with Improved Reliability
J Li, X Chen, X Huang, S Tang, Y Xiang, M Hassan, A Alelaiwi
IEEE Transactions on Computers, 10.1109/TC.2015.2401017, 2015
Efficient service recommendation system for cloud computing market
SM Han, MM Hassan, CW Yoon, EN Huh
Proceedings of the 2nd International Conference on Interaction Sciences …, 2009
A Body Sensor Data Fusion and Deep Recurrent Neural Network-based Behavior Recognition Approach for Robust Healthcare
MZ Uddin, MM Hassan, A Alsanad, C Savaglio
Information Fusion, 2019
iRobot-Factory: An intelligent robot factory based on cognitive manufacturing and edge computing
L Hu, Y Miao, G Wu, MM Hassan, I Humar
Future Generation Computer Systems, 2018
A performance evaluation of machine learning-based streaming spam tweets detection
C Chen, J Zhang, Y Xie, Y Xiang, W Zhou, MM Hassan, A AlElaiwi, ...
IEEE Transactions on Computational social systems 2 (3), 65-76, 2015
A multimedia healthcare data sharing approach through cloud-based body area network
MM Hassan, K Lin, X Yue, J Wan
Future Generation Computer Systems, 2016
Facial Expression Recognition Utilizing Local Direction-based Robust Features and Deep Belief Network
MZ Uddin, MM Hassan, A Almogren, A Alamri, M AlRubaian, G Fortino
IEEE Access, 2017
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