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Professor Dr. Mohd Saberi Mohamad (Director)
Professor Dr. Mohd Saberi Mohamad (Director)
Health Data Science Lab, College of Medicine and Health Sciences, United Arab Emirates University
Verified email at uaeu.ac.ae - Homepage
Title
Cited by
Cited by
Year
A review on the computational approaches for gene regulatory network construction
LE Chai, SK Loh, ST Low, MS Mohamad, S Deris, Z Zakaria
Computers in biology and medicine 48, 55-65, 2014
2912014
Multi-agent systems applications in energy optimization problems: A state-of-the-art review
A González-Briones, F De La Prieta, MS Mohamad, S Omatu, ...
Energies 11 (8), 1928, 2018
2012018
Differential bees flux balance analysis with OptKnock for in silico microbial strains optimization
YW Choon, MS Mohamad, S Deris, RM Illias, CK Chong, LE Chai, ...
PloS one 9 (7), e102744, 2014
1512014
A new hybrid firefly algorithm for complex and nonlinear problem
A Abdullah, S Deris, MS Mohamad, SZM Hashim
Distributed Computing and Artificial Intelligence: 9th International …, 2012
1132012
A Review for Detecting Gene‐Gene Interactions Using Machine Learning Methods in Genetic Epidemiology
CL Koo, MJ Liew, MS Mohamad, AH Mohamed Salleh
BioMed research international 2013 (1), 432375, 2013
1012013
A modified binary particle swarm optimization for selecting the small subset of informative genes from gene expression data
MS Mohamad, S Omatu, S Deris, M Yoshioka
IEEE Transactions on information Technology in Biomedicine 15 (6), 813-822, 2011
1012011
Random forest for gene selection and microarray data classification
K Moorthy, MS Mohamad
Knowledge Technology: Third Knowledge Technology Week, KTW 2011, Kajang …, 2012
882012
Machine learning models for electricity consumption forecasting: a review
A Gonzalez-Briones, G Hernandez, JM Corchado, S Omatu, ...
2019 2nd International Conference on Computer Applications & Information …, 2019
842019
A review on missing value imputation algorithms for microarray gene expression data
K Moorthy, M Saberi Mohamad, S Deris
Current Bioinformatics 9 (1), 18-22, 2014
812014
A Kalman filter approach for solving unimodal optimization problems
Z Ibrahim, NHA Aziz, NAA Aziz, S Razali, MI Shapiai, SW Nawawi, ...
ICIC Express Lett 9 (12), 3415-3422, 2015
792015
Recent advancements and challenges of AIoT application in smart agriculture: A review
HK Adli, MA Remli, KNS Wan Salihin Wong, NA Ismail, ...
Sensors 23 (7), 3752, 2023
782023
Deepint. net: A rapid deployment platform for smart territories
JM Corchado, P Chamoso, G Hernández, ASR Gutierrez, AR Camacho, ...
Sensors 21 (1), 236, 2021
772021
A hybrid of genetic algorithm and support vector machine for features selection and classification of gene expression microarray
MS Mohamad, S Deris, RM Illias
International Journal of Computational Intelligence and Applications 5 (01 …, 2005
642005
An enhancement of binary particle swarm optimization for gene selection in classifying cancer classes
MS Mohamad, S Omatu, S Deris, M Yoshioka, A Abdullah, Z Ibrahim
Algorithms for Molecular Biology 8, 1-11, 2013
612013
Simulated Kalman filter: a novel estimation-based metaheuristic optimization algorithm
Z Ibrahim, NHA Aziz, NAA Aziz, S Razali, MS Mohamad
Advanced Science Letters 22 (10), 2941-2946, 2016
582016
A review on predictive modeling technique for student academic performance monitoring
M Asiah, KN Zulkarnaen, D Safaai, MYNN Hafzan, MM Saberi, ...
MATEC Web of Conferences 255, 03004, 2019
572019
Feature selection method using genetic algorithm for the classification of small and high dimension data
MS Mohamad
Proc. Int. Symp. Info. Com. Tech., 2004, 13-16, 2004
552004
A review of gene knockout strategies for microbial cells
P Wah Tang, P San Chua, S Kee Chong, M Saberi Mohamad, ...
Recent patents on biotechnology 9 (3), 176-197, 2015
542015
An enhanced scatter search with combined opposition-based learning for parameter estimation in large-scale kinetic models of biochemical systems
MA Remli, S Deris, MS Mohamad, S Omatu, JM Corchado
Engineering Applications of Artificial Intelligence 62, 164-180, 2017
532017
Feature selection and classifier parameters estimation for EEG signals peak detection using particle swarm optimization
A Adam, MI Shapiai, MZ Mohd Tumari, MS Mohamad, M Mubin
The Scientific World Journal 2014 (1), 973063, 2014
532014
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