Dr. habib shah
Dr. habib shah
Assistant Professor College of Computer Science, King Khalid University, KSA
Verified email at kku.edu.sa
Title
Cited by
Cited by
Year
Using artificial bee colony algorithm for MLP training on earthquake time series data prediction
H Shah, R Ghazali, NM Nawi
arXiv preprint arXiv:1112.4628, 2011
422011
Prediction of Earthquake Magnitude by an Improved ABC-MLP
HSR Ghazali
Developments in E-systems Engineering (DeSE), 2011, 312 - 317, 2011
30*2011
A survey on bug prioritization
J Uddin, R Ghazali, MM Deris, R Naseem, H Shah
Artificial Intelligence Review 47 (2), 145-180, 2017
262017
Hybrid ant bee colony algorithm for volcano temperature prediction
H Shah, R Ghazali, NM Nawi
International Multi Topic Conference, 453-465, 2012
202012
Global hybrid ant bee colony algorithm for training artificial neural networks
H Shah, R Ghazali, NM Nawi, MM Deris
International Conference on Computational Science and Its Applications, 87-100, 2012
172012
A quick gbest guided artificial bee colony algorithm for stock market prices prediction
H Shah, N Tairan, H Garg, R Ghazali
Symmetry 10 (7), 292, 2018
152018
The 10 Vs, issues and challenges of big data
N Khan, M Alsaqer, H Shah, G Badsha, AA Abbasi, S Salehian
Proceedings of the 2018 International Conference on Big Data and Educationá…, 2018
152018
Hybrid guided artificial bee colony algorithm for numerical function optimization
H Shah, T Herawan, R Naseem, R Ghazali
International Conference in Swarm Intelligence, 197-206, 2014
132014
Global artificial bee colony algorithm for boolean function classification
H Shah, R Ghazali, NM Nawi
Asian Conference on Intelligent Information and Database Systems, 12-20, 2013
132013
Global artificial bee colony-Levenberq-Marquardt (GABC-LM) algorithm for classification
H Shah, R Ghazali, NM Nawi, MM Deris, T Herawan
International Journal of Applied Evolutionary Computation (IJAEC) 4 (3), 58-74, 2013
112013
Honey bees inspired learning algorithm: Nature intelligence can predict natural disaster
H Shah, R Ghazali, YMM Hassim
Recent Advances on Soft Computing and Data Mining, 215-225, 2014
92014
Global Gbest Guided-Artificial Bee Colony Algorithm for Numerical Function Optimization
H Shah, N Tairan, H Garg, R Ghazali
Computers 7 (4), 69, 2018
82018
Soft Computing Approach in Modeling Energy Consumption
TH Habib Shah
Computational Science and Its Applications – ICCSA 2014, 770-782, 2014
8*2014
An improved hybrid firefly algorithm for solving optimization problems
F Wahid, R Ghazali, H Shah
International conference on soft computing and data mining, 14-23, 2018
72018
On the hybridization of global and local search methods
RA Khanum, MA Jan, WK Mashwani, NM Tairan, HU Khan, H Shah
Journal of Intelligent & Fuzzy Systems 35 (3), 3451-3464, 2018
72018
Hybrid global crossover bees algorithm for solving boolean function classification task
H Shah, N Tairan, WK Mashwani, AA Al-Sewari, MA Jan, G Badshah
International Conference on Intelligent Computing, 467-478, 2017
72017
Hybrid guided artificial bee colony algorithm for earthquake time series data prediction
H Shah, R Ghazali, T Herawan, N Khan, MS Khan
International Multi Topic Conference, 204-215, 2013
72013
MHD and slip effect on two-immiscible third grade fluid on thin film flow over a vertical moving belt
Z Khan, N Tairan, WK Mashwani, HU Rasheed, H Shah, W Khan
Open Physics 17 (1), 575-586, 2019
62019
A framework for prediction of household energy consumption using feed forward back propagation neural network
M Fayaz, H Shah, AM Aseere, WK Mashwani, AS Shah
Technologies 7 (2), 30, 2019
62019
An improved Gbest guided artificial bee colony (IGGABC) algorithm for classification and prediction tasks
H Shah, T Herawan, R Ghazali, R Naseem, MA Aziz, JH Abawajy
International Conference on Neural Information Processing, 559-569, 2014
62014
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