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 (1), 929768, 2014 | 102 | 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 (1), 415023, 2013 | 73 | 2013 |
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 | 40 | 2019 |
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 | 40 | 2014 |
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 | 39 | 2018 |
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 | 29 | 2019 |
Landslide occurrence prediction using trainable cascade forward network and multilayer perceptron MS Al-Batah, MS Alkhasawneh, LT Tay, UK Ngah, H Hj Lateh, NA Mat Isa Mathematical Problems in Engineering 2015 (1), 512158, 2015 | 23 | 2015 |
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 | 20 | 2014 |
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 | 17 | 2014 |
Landslide susceptibility hazard mapping techniques review MS Alkhasawneh, UKB Ngah, TL Tien, N Isa Journal of Applied Sciences(Faisalabad) 12 (8), 802-808, 2012 | 17 | 2012 |
Software defect prediction through neural network and feature selections MS Alkhasawneh Applied Computational Intelligence and Soft Computing 2022 (1), 2581832, 2022 | 11 | 2022 |
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 | 7 | 2021 |
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 | 6 | 2015 |
Landslide hazard mapping with new topographic factors: a study case of Penang Island, Malaysia. LT Tay, MS Alkhasawneh, UK Ngah, H Lateh | 6 | 2014 |
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 | 5 | 2014 |
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 | 4 | 2018 |
Mat Isa, NA, & Al-batah, MS (2013) MS Alkhasawneh, UK Ngah, LT Tay Determination of important topographic factors for landslide mapping …, 2013 | 4 | 2013 |
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 | 3 | 2017 |
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 | |
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 | 1 | 2021 |