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Mutasem Sh. Alkhasawneh
Mutasem Sh. Alkhasawneh
Software Engineering department. Faculty of science and technology, Ajloun National University. P.O
Verified email at anu.edu.jo - Homepage
Title
Cited by
Cited by
Year
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
922014
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
662013
Determination of importance for comprehensive topographic factors on landslide hazard mapping using artificial neural network
MS Alkhasawneh, UK Ngah, LT Tay, NAM Isa
Environmental earth sciences 72, 787-799, 2014
372014
Hybrid cascade forward neural network with Elman neural network for disease prediction
MS Alkhasawneh
Arabian Journal for Science and Engineering 44 (11), 9209-9220, 2019
342019
A hybrid intelligent system integrating the cascade forward neural network with elman neural network
MS Alkhasawneh, LT Tay
Arabian Journal for Science and Engineering 43, 6737-6749, 2018
342018
Electric vehicle technology impacts on energy
WA Salah, MAM Albreem, B Alsayid, BA Zneid, M Alkhasawneh, ...
International Journal of Power Electronics and Drive Systems 10 (1), 1, 2019
272019
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
212015
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
202014
Landslide susceptibility hazard mapping techniques review
MS Alkhasawneh, UKB Ngah, TL Tien, N Isa
Journal of Applied Sciences(Faisalabad) 12 (8), 802-808, 2012
162012
Landslide hazard mapping of Penang Island using poisson distribution with dominant factors
LT Tay, MS Alkhasawneh, H Lateh, MK Hossain, AA Kamil
J. Civ. Eng. Res 4, 72-77, 2014
152014
Software defect prediction through neural network and feature selections
MS Alkhasawneh
Applied Computational Intelligence and Soft Computing 2022, 2022
82022
Landslide hazard mapping with selected dominant factors: A study case of Penang Island, Malaysia
LT Tay, MS Alkhasawneh, UK Ngah, H Lateh
AIP Conference Proceedings 1660 (1), 2015
62015
Olive Oil Ripping Time Prediction Model based on Image Processing and Neural Network
MS Alkhasawneh
International Journal of Advanced Computer Science and Applications 12 (1/2021), 2021
52021
Landslide hazard mapping of Penang Island using dominant factors
LT Tay, MS Alkhasawneh, UK Ngah, H Lateh
2014 IEEE 2nd International Symposium on Telecommunication Technologies …, 2014
52014
Landslide hazard mapping with new topographic factors: a study case of Penang Island, Malaysia.
LT Tay, MS Alkhasawneh, UK Ngah, H Lateh
52014
Mat Isa, NA, & Al-batah, MS (2013)
MS Alkhasawneh, UK Ngah, LT Tay
Determination of important topographic factors for landslide mapping …, 2013
42013
Alkhasawneh, Umi Kalthum Ngah, Lea Tien Tay, Nor Ashidi Mat Isa,“Determination of importance for comprehensive topographic factors on landslide hazard mapping using artificial …
M Sh
Environmental Earth Sciences, 0
3
Isolated Arabic Hand Written Letters Recognition Based on Contour Matching and Neural Network
MSAMABY Bajes Zeyad Aljunaeidia
Journal of Computer Science 14 (11), 1565-1576, 2018
22018
A Comparison betweenSeven Heuristic Methods toEstimate the Number of Hidden Layer Neurons in a Multi LayerPerceptron Neural Network
MS Alkhasawneh
International Journal of Advanced Trends in Computer Science and Engineering …, 2021
2021
Quantitative workflow based on NN for weighting criteria in landfill suitability mapping
SKM Abujayyab, MSS Ahamad, AS Yahya, SZ Ahmad, MS Alkhasawneh, ...
AIP Conference Proceedings 1892 (1), 2017
2017
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