Prof. Dr. Mohammad Mehedi Hassan
Prof. Dr. Mohammad Mehedi Hassan
Professor, Dept. of Information Systems, King Saud University, Riyadh, KSA
Verifisert e-postadresse på ksu.edu.sa - Startside
Sitert av
Sitert av
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
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
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
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
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
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
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 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
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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