Mohammad Subhi Al-batah
Mohammad Subhi Al-batah
Full Professor, Jadara University
Verified email at - Homepage
Cited by
Cited by
Modeling and testing landslide hazard using decision tree
MS Alkhasawneh, UK Ngah, LT Tay, NA Mat Isa, MS Al-Batah
Journal of Applied Mathematics 2014, 2014
Determination of important topographic factors for landslide mapping analysis using MLP network
MS Alkhasawneh, UK Ngah, LT Tay, NA Mat Isa, MS Al-batah
The Scientific World Journal 2013, 2013
Modified recursive least squares algorithm to train the hybrid multilayered perceptron (HMLP) network
MS Al-Batah, NAM Isa, KZ Zamli, KA Azizli
Applied Soft Computing 10 (1), 236-244, 2010
A novel aggregate classification technique using moment invariants and cascaded multilayered perceptron network
MS Al-Batah, NAM Isa, KZ Zamli, ZM Sani, KA Azizli
International Journal of Mineral Processing 92 (1-2), 92-102, 2009
Suitable features selection for the HMLP and MLP networks to identify the shape of aggregate
NAM Isa, MS Al-Batah, KZ Zamli, KA Azizli, A Joret, NRM Noor
Construction and Building Materials 22 (3), 402-410, 2008
Modeling the effects of organic nitrogen uptake by plants on the carbon cycling of boreal forest and tundra ecosystems
Q Zhu, Q Zhuang
Biogeosciences 10 (12), 7943-7955, 2013
Multiple adaptive neuro-fuzzy inference system with automatic features extraction algorithm for cervical cancer recognition
M Subhi Al-batah, NA Mat Isa, MF Klaib, MA Al-Betar
Computational and mathematical methods in medicine 2014, 2014
Automated Intelligent real-time system for aggregate classification
NAM Isa, ZM Sani, MS Al-Batah
International Journal of Mineral Processing 100 (1-2), 41-50, 2011
Gene Microarray Cancer Classification using Correlation Based Feature Selection Algorithm and Rules Classifiers.
M Al-Batah, B Zaqaibeh, SA Alomari, MS Alzboon
International Journal of Online & Biomedical Engineering 15 (8), 2019
Arabic Sentiment Classification using MLP Network Hybrid with Naive Bayes Algorithm
MA Mohammad Subhi Al-Batah, Shakir Mrayyen
Journal of Computer Science 14 (8), 1104-1114, 2018
Intelligent landslide system based on discriminant analysis and cascade-forward back-propagation network
MS Alkhasawneh, LT Tay, UK Ngah, MS Al-batah, NA Mat Isa
Arabian Journal for Science and Engineering 39, 5575-5584, 2014
Landslide Occurrence Prediction Using Trainable Cascade Forward Network and Multilayer Perceptron
NAMI Mohammad Subhi Al-batah, Mutasem Sh. Alkhasawneh, Lea Tien Tay ...
Mathematical Problems in Engineering 2015 (Article ID 512158), 9 pages, 2015
Landslide occurrence prediction using trainable cascade forward network and multilayer perceptron
MS Al-Batah, MS Alkhasawneh, LT Tay, UK Ngah, H Lateh, NA Mat Isa
Mathematical Problems in Engineering 2015, 2015
Cervical Cancer Diagnostic System Using Adaptive Fuzzy Moving K-means Algorithm and Fuzzy MIN-MAX Neural Network
SHA Anas Quteishat, Mohammad al-batah, Anwar al-mofleh
Journal of Theoretical and Applied Information Technology 57 (1), 48-53, 2013
3D object recognition using fuzzy mathematical modeling of 2D images
AF Sheta, A Baareh, M Al-Batah
2012 International Conference on Multimedia Computing and Systems, 278-283, 2012
Testing reliability equivalence factors of a series–parallel systems in Burr-type X distribution
H Migdadi, M Al-Batah
British Journal of Mathematics & Computer Science 4 (18), 2618-2629, 2014
Feature based 3D object recognition using artificial neural networks
A Karim Baareh, AF Sheta, MS Al-Batah
International Journal of Computer Applications 44 (5), 1-7, 2012
Testing the probability of heart disease using classification and regression tree model
MS Al-batah
Annual Research & Review in Biology, 1713-1725, 2014
Mat Isa, NA, Zamli, KZ, Sani, ZM, Azizli, KA: A novel aggregate classification technique using moment invariants and cascaded multilayered perceptron network
MS Al-Batah
Int. J. Mineral Process 92 (1-2), 92-102, 2009
Automatic glass-slide capturing system for cervical cancer pre-screening program
N Rizuan, M Noor, N Ashidi, M Isa, MS Al-Batah
American Journal of Applied Sciences 5 (5), 461-467, 2008
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