| Convolutional neural networks for real-time wood plank detection and defect segmentation M Mohsin, OS Balogun, K Haataja, P Toivanen F1000Research 12, 319, 2023 | 3 | 2023 |
| Investigating machine learning methods for tuberculosis risk factors prediction: a comparative analysis and evaluation OS Balogun, SA Olaleye, M Mohsin, P Toivanen Proceedings of the 37th International Business Information Management …, 2021 | 3 | 2021 |
| The Strength of Agreement of Students' Academic Performances as A Counseling Guide for The University Prospective Admission Seekers OS Balogun, M Moshin, SA Olaleye Proceedings of the 35th International Business Information Management …, 2020 | 3 | 2020 |
| Real-time defect detection and classification on wood surfaces using deep learning M Mohsin, OS Balogun, K Haataja, P Toivanen Electronic Imaging 34, 1-6, 2022 | 2 | 2022 |
| Sentence-LDA and Deep Learning: A Combined Approach for Implicit Aspect Extraction and Sentiment Analysis DB Talpur, G Huang, M Mohsin, MR Malik NEW ARCH-INTERNATIONAL JOURNAL OF CONTEMPORARY ARCHITECTURE 8 (1), 47-55, 2021 | 1 | 2021 |
| Defect Detection Using Deep Neural Networks and Algorithms: A Survey M Mohsin, OS Balogun, K Haataja, P Toivanen Solid State Technology 66 (1), 23-29, 2023 | | 2023 |
| Deep learning based real-time defect detection, classification, and segmentation methods for industrial quality control M Mohsin Itä-Suomen yliopisto, 2023 | | 2023 |
| Convolutional neural networks for real-time wood plank detection and defect segmentation [version 1; peer review M Mohsin, OS Balogun, K Haataja, P Toivanen | | 2023 |
Oluwafemi Samson BalogunUniversity of Eastern FinlandVerified email at uef.fi
