Mohammed Eshtay
Mohammed Eshtay
ASAC, Luminus Technical University College
Verified email at fgs.ju.edu.jo
Title
Cited by
Cited by
Year
Improving extreme learning machine by competitive swarm optimization and its application for medical diagnosis problems
M Eshtay, H Faris, N Obeid
Expert Systems with Applications 104, 134-152, 2018
512018
Time-varying hierarchical chains of salps with random weight networks for feature selection
H Faris, AA Heidari, AZ Ala’M, M Mafarja, I Aljarah, M Eshtay, S Mirjalili
Expert Systems with Applications 140, 112898, 2020
422020
Metaheuristic-based extreme learning machines: a review of design formulations and applications
M Eshtay, H Faris, N Obeid
International Journal of Machine Learning and Cybernetics 10 (6), 1543-1561, 2019
162019
Performance optimization for mobile agent message broadcast model using V-agent
F Al-Shrouf, M Eshtay, KA Humaidan
IJCSNS International Journal of Computer Science and Network Security 8 (8 …, 2008
102008
Optimizing extreme learning machines using chains of salps for efficient Android ransomware detection
H Faris, M Habib, I Almomani, M Eshtay, I Aljarah
Applied Sciences 10 (11), 3706, 2020
72020
Comparison Study of Different Lossy Compression Techniques Applied on Digital Mammogram Images
A AbuBaker, M Eshtay, M AkhoZahia
Volume 7, 149-155, 2016
72016
Software defect prediction using heterogeneous ensemble classification based on segmented patterns
H Alsawalqah, N Hijazi, M Eshtay, H Faris, AA Radaideh, I Aljarah, ...
Applied Sciences 10 (5), 1745, 2020
62020
Implementing bi-temporal properties into various NoSQL database categories
M Eshtay, A Sleit, M Aldwairi
International Journal of Computing 18 (1), 45-52, 2019
42019
AutoRWN: automatic construction and training of random weight networks using competitive swarm of agents
M Eshtay, H Faris, AA Heidari, AZ Ala’M, I Aljarah
Neural Computing and Applications, 1-18, 2020
32020
A competitive swarm optimizer with hybrid encoding for simultaneously optimizing the weights and structure of Extreme Learning Machines for classification problems
M Eshtay, H Faris, N Obeid
International Journal of Machine Learning and Cybernetics, 1-23, 2020
32020
NMVSA greedy solution for Vertex Cover Problem
M Eshtay, A Sliet, A Sharieh
vertex 2, 15, 2016
12016
Evaluation of Class Decomposition based on Clustering Validity and K-means Algorithm
B Sowan, N Matar, F Omar, M Alauthman, M Eshtay
2020 21st International Arab Conference on Information Technology (ACIT), 1-6, 2020
2020
Towards General and Comprehensive Definition of Visualization and Visualization Pipeline
M Eshtay, R Alsayyed, A Sleit
Asian Journal of Information Technology 16 (6), 527-535, 2017
2017
Learners General Quality Attributes within Courseware Design
A Turani, F Al-Shrouf, M Eshtay
INFOCOMP Journal of Computer Science 8 (2), 90-94, 2009
2009
Hierarchal Traveling Design Pattern for Mobile Agents in JADE Framework
M Eshtay
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Articles 1–15