Zahid Halim
Zahid Halim
GIK Institute of Engineering Sciences and Technology
Verified email at - Homepage
Cited by
Cited by
On identification of driving-induced stress using electroencephalogram signals: A framework based on wearable safety-critical scheme and machine learning
Z Halim, M Rehan
Information Fusion 53, 66-79, 2020
Artificial intelligence techniques for driving safety and vehicle crash prediction
Z Halim, R Kalsoom, S Bashir, G Abbas
Artificial Intelligence Review 46, 351-387, 2016
Multi-view document clustering via ensemble method
SF Hussain, M Mushtaq, Z Halim
Journal of Intelligent Information Systems 43 (1), 81-99, 2014
Profiling players using real-world datasets: clustering the data and correlating the results with the big-five personality traits
Z Halim, M Atif, A Rashid, CA Edwin
IEEE transactions on affective computing 10 (4), 568-584, 2017
Fairness-driven queue management: A survey and taxonomy
G Abbas, Z Halim, ZH Abbas
IEEE Communications Surveys & Tutorials 18 (1), 324-367, 2015
Reinforcement learning assisted impersonation attack detection in device-to-device communications
S Tu, M Waqas, SU Rehman, T Mir, G Abbas, ZH Abbas, Z Halim, I Ahmad
IEEE Transactions on Vehicular Technology 70 (2), 1474-1479, 2021
A kinect-based sign language hand gesture recognition system for hearing-and speech-impaired: a pilot study of Pakistani sign language
Z Halim, G Abbas
Assistive Technology 27 (1), 34-43, 2015
An effective genetic algorithm-based feature selection method for intrusion detection systems
Z Halim, MN Yousaf, M Waqas, M Sulaiman, G Abbas, M Hussain, ...
Computers & Security 110, 102448, 2021
Clustering large probabilistic graphs using multi-population evolutionary algorithm
Z Halim, M Waqas, SF Hussain
Information Sciences 317, 78-95, 2015
Clustering the driving features based on data streams
R Kalsoom, Z Halim
Inmic, 89-94, 2013
A novel binary chaotic genetic algorithm for feature selection and its utility in affective computing and healthcare
M Tahir, A Tubaishat, F Al-Obeidat, B Shah, Z Halim, M Waqas
Neural Computing and Applications, 1-22, 2020
Employing artificial neural networks for constructing metadata-based model to automatically select an appropriate data visualization technique
T Muhammad, Z Halim
Applied Soft Computing 49, 365-384, 2016
Gene encoder: a feature selection technique through unsupervised deep learning-based clustering for large gene expression data
F Al-Obeidat, A Tubaishat, B Shah, Z Halim
Neural Computing and Applications, 1-23, 2022
An evolutionary computing-based efficient hybrid task scheduling approach for heterogeneous computing environment
M Sulaiman, Z Halim, M Lebbah, M Waqas, S Tu
Journal of Grid Computing 19, 1-31, 2021
Artificial neural network-based speech recognition using dwt analysis applied on isolated words from oriental languages
B Rehmam, Z Halim, G Abbas, T Muhammad
Malaysian Journal of Computer Science 28 (3), 242-262, 2015
A machine learning-based investigation utilizing the in-text features for the identification of dominant emotion in an email
Z Halim, M Waqar, M Tahir
Knowledge-based systems 208, 106443, 2020
The role of artificial intelligence and machine learning in wireless networks security: Principle, practice and challenges
M Waqas, S Tu, Z Halim, SU Rehman, G Abbas, ZH Abbas
Artificial Intelligence Review 55 (7), 5215-5261, 2022
Efficient clustering of large uncertain graphs using neighborhood information
Z Halim, M Waqas, AR Baig, A Rashid
International Journal of Approximate Reasoning 90, 274-291, 2017
Profiling drivers based on driver dependent vehicle driving features
Z Halim, R Kalsoom, AR Baig
Applied Intelligence 44, 645-664, 2016
Quantifying and optimizing visualization: An evolutionary computing-based approach
Z Halim, T Muhammad
Information Sciences 385, 284-313, 2017
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