Muhammad Turab

Muhammad Turab

Erasmus Mundus Scholar in Computational Color and Spectral Imaging (COSI) at NTNU, Norway, University of Jean Monnet, France, and University of Eastern Finland, Finland.

Publications

You can also find my articles on my Google Scholar profile.

Journal Articles

An Ensemble of CNN Architectures for Early Detection of Alzheimer’s Disease Using Brain MRI

Published in Mehran University Research Journal of Engineering & Technology, 2023

This paper investigates ensemble CNN architectures for early detection of Alzheimer’s disease through brain MRI analysis.

Recommended citation: Memon, Z., Turab, M., Narejo, S., Korejo, M. T. (2023). "An Ensemble of CNN Architectures for Early Detection of Alzheimer’s Disease Using Brain MRI." Mehran University Research Journal of Engineering & Technology.
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Investigating Multi-Feature Selection and Ensembling for Audio Classification

Published in International Journal of Artificial Intelligence & Applications, 2022

This paper explores multi-feature selection and ensembling methods for audio classification.

Recommended citation: Turab, M., Kumar, T., Bendechache, M., Saber, T. (2022). "Investigating Multi-Feature Selection and Ensembling for Audio Classification." International Journal of Artificial Intelligence & Applications.
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FORGED CHARACTER DETECTION DATASETS: PASSPORTS, DRIVING LICENCES AND VISA STICKERS

Published in International Journal of Artificial Intelligence & Applications, 2022

This paper discusses detection datasets for forged characters in passports, driving licenses, and visa stickers.

Recommended citation: Kumar, T., Turab, M., Talpur, S., Brennan, R., Bendechache, M. (2022). "FORGED CHARACTER DETECTION DATASETS: PASSPORTS, DRIVING LICENCES AND VISA STICKERS." International Journal of Artificial Intelligence & Applications.
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Conference Papers

Data Dimension Reduction Makes ML Algorithms Efficient

Published in International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC), 2022

This paper explores the impact of data dimension reduction on machine learning algorithm efficiency.

Recommended citation: Khan, W., Turab, M., Ahmad, W., Ahmad, S. H., Kumar, K., Luo, B. (2022). "Data Dimension Reduction Makes ML Algorithms Efficient." ICETECC.
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Detection Datasets: Forged Characters for Passport and Driving Licence

Published in 6th International Conference on Artificial Intelligence, Soft Computing and Applications, 2022

This paper presents datasets for detecting forged characters in passports and driving licenses.

Recommended citation: Kumar, T., Turab, M., Talpur, S., Brennan, R., Bendechache, M. (2022). "Detection Datasets: Forged Characters for Passport and Driving Licence." 6th International Conference on Artificial Intelligence, Soft Computing and Applications.
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