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Prof. Dr. Mohammad Mehedi Hassan
Prof. Dr. Mohammad Mehedi Hassan
Professor, Dept. of Information Systems, King Saud University, Riyadh, KSA
Verified email at ksu.edu.sa - Homepage
Title
Cited by
Cited by
Year
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
10692015
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
7272018
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
5552013
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
4102019
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
3502019
Federated Internet of Things and Cloud Computing Pervasive Patient Health Monitoring System
JH Abawajy, MM Hassan
IEEE Communications Magazine 55 (1), 48-53, 2017
3262017
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
3082019
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
2902020
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
2702009
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
2692016
Autonomic computation offloading in mobile edge for IoT applications
MGR Alam, MM Hassan, MZI Uddin, A Almogren, G Fortino
Future Generation Computer Systems, 2018
2352018
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
2352018
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
2042015
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
1902019
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
1892015
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
1772009
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
1732018
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
1622015
Cyberattacks Detection in IoT-Based Smart City Applications Using Machine Learning Techniques
MM Rashid, J Kamruzzaman, MM Hassan, T Imam, S Gordon
International Journal of Environmental Research and Public Health 17 (24), 9347, 2020
1562020
A hybrid deep learning model for human activity recognition using multimodal body sensing data
A Gumaei, MM Hassan, A Alelaiwi, H Alsalman
IEEE Access 7, 99152-99160, 2019
1502019
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