Biography

Dr. Mutasem Khalil Sari Alsmadi is currently working as Assistant Professor at Department of MIS, Dammam University, Saudi Arabia. He has completed his PhD in Computer Science from same University. His main area of expertise includes Pattern Recognition, Classification, Genetic Algorithm, Memetic Algorithm, Simulating Annealing, Great Deluge, Algorithms Optimaization, Color Histogram, Back-Propagation Classifier, Perceptron Learning Algorithm, Delta Rule Neural Network, Feature Extraction, Image Extraction, Image Segmentation, Image Recognition, Digital Image, and Potential Local Geometrical Features, Texture Measurements, Shape Measurements, and Gray Level Co-occurrence Matrix. He has 10 publications in journals as author/co-author.

Area of Interest:

Computer Sciences

100%

Pattern Recognition

62%

Information Technology

90%

Algorithm

75%

Computer Analysis

55%

Research Publications in Numbers

Books
0

Chapters
0

Articles
0

Abstracts
0

Selected Publications

Alsmadi, M.K., K.B. Omar and S.A.M. Noah, 2011. Fish classification based on robust features extraction from color signature using back-propagation classifier. J. Comput. Sci., 7: 52-58.
Alsmadi, M., K.B. Omar, S.A. Noah and I. Almarashdeh, 2011. A hybrid memetic algorithm with back-propagation classifier for fish classification based on robust features extraction from PLGF and shape measurements. Inform. Technol. J., 10: 944-954.
CrossRef | Direct Link |
Almrashdah, I.A., N. Sahari, N.A.H.M. Zin and M. Alsmadi, 2011. Distance learning management system requirements from student's perspective. J. Theor. Appl. Inf. Technol., 24: 17-24.
Direct Link |
Alsmadi, M.K., K.B. Omar, S.A. Noah and I. Almarashdeh, 2010. Fish recognition based on robust features extraction from size and shape measurements using neural network. J. Comput. Sci., 6: 1088-1094.
CrossRef | Direct Link |
Alsmadi, M.K., K.B. Omar, S.A. Noah and I. Almarashdeh, 2010. Fish recognition based on robust features extraction from color texture measurements using back-propagation classifier. J. Theoret. Appl. Inf. Technol., 18: 11-18.
Alsmadi, M.K., K.B. Omar and S.A. Noah, 2010. Fish recognition based on robust features extraction from size and shape measurements using back-propagation classifier. Adv. Artifi. Neural Network Appr. Appl. Syst. Manag., 5: 489-494.
Almrashdah, I.A., N. Sahari, N.A.H.M. Zin and M. Alsmadi, 2010. The success of learning management system among distance learners in Malaysian Universitie. J. Theor. Appl. Inf. Technol., 21: 80-91.
Direct Link |
Alsmadi, M.K., K.B. Omar and S.A. Noah, 2009. Proposed method to decide the appropriate feature set for fish classification tasks using artificial neural network and decision tree. Int. J. Comput. Sci. Network Secur., 9: 297-301.
Alsmadi, M.K., K.B. Omar and S.A. Noah, 2009. Performance comparison of multi-layer perceptron (Back propagation, delta rule and perceptron) algorithms in neural networks. Proceedings of the IEEE International Advance Computing Conference, March 6-7, 2009, Patiala, Punjab, India, pp: 296-299.
CrossRef |
Alsmadi, M.K., K.B. Omar and S.A. Noah, 2009. Back propagation algorithm: The best algorithm among the multi-layer perceptron algorithm. Int. J. Comput. Sci. Network Secur., 9: 378-383.