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Dr. Mehedi Masud
Dr. Mehedi Masud
Professor, Department of Computer Science, Taif University, Saudi Arabia
Verified email at tu.edu.sa - Homepage
Title
Cited by
Cited by
Year
An e-learning system architecture based on cloud computing
MAH Masud, X Huang
system 10 (11), 255-259, 2012
3042012
Towards internet of things: Survey and future vision
O Said, M Masud
International Journal of Computer Networks 5 (1), 1-17, 2013
2662013
Environmental knowledge, awareness, and business school students’ intentions to purchase green vehicles in emerging countries
M Mohiuddin, A Al Mamun, FA Syed, M Mehedi Masud, Z Su
Sustainability 10 (5), 1534, 2018
1092018
Data sharing in the hyperion peer database system
P Rodríguez-Gianolli, A Kementsietsidis, M Garzetti, I Kiringa, L Jiang, ...
Proceedings of the 31st international conference on Very large data bases …, 2005
1092005
An Enhanced k-Means Clustering Algorithm for Pattern Discovery in Healthcare Data
RA Haraty, M Dimishkieh, M Masud
International Journal of distributed sensor networks 11 (6), 615740, 2015
812015
A lightweight and robust secure key establishment protocol for internet of medical things in COVID-19 patients care
M Masud, GS Gaba, S Alqahtani, G Muhammad, BB Gupta, P Kumar, ...
IEEE Internet of Things Journal 8 (21), 15694-15703, 2020
692020
Data Interoperability and Multimedia Content Management in e-Health Systems
M Masud, MS Hossain, A Alamri
IEEE Transactions on onInformation Technology in Biomedicine, 1-1, 2012
632012
Design and evaluation of hospital-based business intelligence system (HBIS): A foundation for design science research methodology
HY Kao, MC Yu, M Masud, WH Wu, LJ Chen, YCJ Wu
Computers in Human Behavior 62, 495-505, 2016
552016
Collaborative e-learning systems using semantic data interoperability
M Masud
Computers in Human Behavior 61, 127-135, 2016
502016
ESaaS: A new education software model in E-learning systems
M Masud, A Hossain, X Huang
International Conference on Information and Management Engineering, 468-475, 2011
482011
Nature-inspired-based approach for automated cyberbullying classification on multimedia social networking
N Yuvaraj, K Srihari, G Dhiman, K Somasundaram, A Sharma, ...
Mathematical Problems in Engineering 2021, 2021
442021
Design of multi-information fusion based intelligent electrical fire detection system for green buildings
X Ren, C Li, X Ma, F Chen, H Wang, A Sharma, GS Gaba, M Masud
Sustainability 13 (6), 3405, 2021
372021
Strategy for mutation testing using genetic algorithms
M Masud, A Nayak, M Zaman, N Bansal
Canadian Conference on Electrical and Computer Engineering, 2005., 1049-1052, 2005
342005
Leveraging deep learning techniques for malaria parasite detection using mobile application
M Masud, H Alhumyani, SS Alshamrani, O Cheikhrouhou, S Ibrahim, ...
Wireless Communications and Mobile Computing 2020, 2020
332020
Usability of a cloud-based collaborative learning framework to improve learners’ experience
M Shorfuzzaman, A Alelaiwi, M Masud, MM Hassan, MS Hossain
Computers in Human Behavior 51, 967-976, 2015
332015
On the detection of covid-19 from chest x-ray images using cnn-based transfer learning
M Shorfuzzaman, M Masud
CMC-Computers Materials & Continua, 1359-1381, 2020
312020
Enabling Technologies and Business Infrastructures for Next Generation Social Media: Big Data, Cloud Computing, Internet of Things and Virtual Reality.
MD Lytras, W Al-Halabi, JX Zhang, M Masud, RA Haraty
J. Univers. Comput. Sci. 21 (11), 1379-1384, 2015
312015
Coexistence mechanism between eMBB and uRLLC in 5G wireless networks
AK Bairagi, MS Munir, M Alsenwi, NH Tran, SS Alshamrani, M Masud, ...
IEEE Transactions on Communications 69 (3), 1736-1749, 2020
302020
Lightweight and anonymity-preserving user authentication scheme for IoT-based healthcare
M Masud, GS Gaba, K Choudhary, MS Hossain, MF Alhamid, ...
IEEE Internet of Things Journal, 2021
292021
A machine learning approach to diagnosing lung and colon cancer using a deep learning-based classification framework
M Masud, N Sikder, AA Nahid, AK Bairagi, MA AlZain
Sensors 21 (3), 748, 2021
292021
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Articles 1–20