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Muhammad Zeeshan Baig
Muhammad Zeeshan Baig
Department of Computing, Macquarie University, Sydney, Australia
Verified email at hdr.mq.edu.au
Title
Cited by
Cited by
Year
Differential evolution algorithm as a tool for optimal feature subset selection in motor imagery EEG
MZ Baig, N Aslam, HPH Shum, L Zhang
Expert Systems with Applications 90, 184-195, 2017
1602017
Filtering techniques for channel selection in motor imagery EEG applications: a survey
MZ Baig, N Aslam, HPH Shum
Artificial intelligence review 53 (2), 1207-1232, 2020
1452020
A Survey on Psycho-Physiological Analysis & Measurement Methods in Multimodal Systems
MZ Baig, M Kavakli
Multimodal Technologies and Interaction 3 (2), 20, 2019
662019
Artificial Intelligence and Machine Learning in 5G Network Security: Opportunities, advantages, and future research trends
N Haider, MZ Baig, M Imran
arXiv preprint arXiv:2007.04490, 2020
572020
Machine learning for 5G security: Architecture, recent advances, and challenges
A Afaq, N Haider, MZ Baig, KS Khan, M Imran, I Razzak
Ad Hoc Networks 123, 102667, 2021
362021
The Usability of Speech and/or Gestures in Multi-Modal Interface Systems
F Alibay, M Kavakli, JR Chardonnet, MZ Baig
Proceedings of the 9th International Conference on Computer and Automation …, 2017
202017
Connectivity analysis using functional brain networks to evaluate cognitive activity during 3d modelling
MZ Baig, M Kavakli
Brain sciences 9 (2), 24, 2019
192019
Qualitative analysis of a multimodal interface system using speech/gesture
MZ Baig, M Kavakli
2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA …, 2018
172018
Classification of left/right hand movement from EEG signal by intelligent algorithms
MZ Baig, E Javed, Y Ayaz, W Afzal, SO Gillani, M Naveed, M Jamil
2014 IEEE Symposium on Computer Applications and Industrial Electronics …, 2014
152014
A BCI system classification technique using median filtering and wavelet transform
MZ Baig, Y Mehmood, Y Ayaz
Dynamics in Logistics: Proceedings of the 4th International Conference LDIC …, 2016
132016
Analyzing novice and expert user’s cognitive load in using a multi-modal interface system
MZ Baig, M Kavakli
2018 26th international conference on systems engineering (ICSENG), 1-7, 2018
112018
Artificial Intelligence and Machine Learning in 5G Network Security: Opportunities, advantages, and future research trends. arXiv 2020
N Haider, MZ Baig, M Imran
arXiv preprint arXiv:2007.04490, 0
10
Classification of user competency levels using EEG and convolutional neural network in 3D modelling application
MZ Baig, M Kavakli
Expert Systems with Applications 146, 113202, 2020
92020
MOTOR IMAGERY BASED EEG SIGNAL CLASSIFICATION USING SELF ORGANIZING MAPS
MZ Baig, Y Ayaz, SO Gillani, M Jamil, M Naveed
Science International (Lahore) 27 (2), 1165-1170, 2015
72015
EEG signal analysis in 3D modelling to identify correlations between task completion in design user’s cognitive activities
MZ Baig, M Kavakli
Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018
62018
Optimization of Microstrip Patch Antenna for C-band and WLAN Applications
W Afzal, Y Mehmood, MZ Baig, MZ Babar
Proceedings of the 2nd International Conference on Engineering & Emerging …, 2015
42015
Multimodal systems: taxonomy, methods, and challenges
MZ Baig, M Kavakli
arXiv preprint arXiv:2006.03813, 2020
32020
Serious Games: An Updated Systematic Literature Review
SU Din, MZ Baig, MK Khan
arXiv preprint arXiv:2306.03098, 2023
22023
Expertise classification using functional brain networks and normalized transfer entropy of EEG in design applications
MZ Baig, M Kavakli
Proceedings of the 2019 11th International Conference on Computer and …, 2019
22019
Connectivity Analysis of Functional Brain Networks in Using Multi-modal Human-Computer Interaction
MZ Baig, M Kavakli
Information Systems Development: Information Systems Beyond 2020 (ISD2019 …, 2019
22019
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