Publications
Publications
M. A.-M. Khan, S.-H. Kee, and A.-A. Nahid, “Vision-based concrete-crack detection on railway sleepers using dense U-Net model,” Algorithms, vol. 16, no. 12, p. 568, 2023. doi:10.3390/a16120568
M. A.-M. Khan, R. W. Harseno, S. H. Kee, A. Nahid, "Development of AI and Robotics Assisted Automated Pavement Crack Evaluation System", Remote Sens. 2023, 15(14), 3573; https://doi.org/10.3390/rs15143573
M. A.-M. Khan, S.-H. Kee, A.-S. K. Pathan, and A.-A. Nahid, “Image processing techniques for Concrete Crack Detection: A Scientometrics Literature Review,” Remote Sensing, vol. 15, no. 9, p. 2400, 2023. https://doi.org/10.3390/rs15092400
M. A.-M. Khan; Haque, M.F.; Hasan, K.R.; Alamjani, S.H.; Baz, M.; Masud, M.; Al-Nahid, A. LLDNet: A Lightweight Lane Detection Approach for Autonomous Cars Using Deep Learning. Sensors 2022, 22, 5595. https://doi.org/10.3390/s22155595
M. A.-M. Khan, M. R. J. Khan, A. Tooshil, N. Sikder, M. A. P. Mahmud, A. Z. Kouzani, and A.-A. Nahid, “A Systematic Review on Reinforcement Learning-Based Robotics Within the Last Decade,” IEEE Access, vol. 8, pp. 176598–176623, 2020. https://doi.org/10.1109/ACCESS.2020.3027152
K. R. Hasan, A. B. Tuli, M. A.-M. Khan, S. -H. Kee, M. A. Samad and A. -A. Nahid, "Deep-Learning-Based Semantic Segmentation for Remote Sensing: A Bibliometric Literature Review," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 1390-1418, 2024, doi: 10.1109/JSTARS.2023.3328315
Mumenin, K.M.; Biswas, P.; M. A.-M. Khan,; Alammary, A.S.; Nahid, A.-A. A Modified Aquila-Based Optimized XGBoost Framework for Detecting Probable Seizure Status in Neonates. Sensors 2023, 23, 7037. https://doi.org/10.3390/s23167037.
Akter M, Ansary S, M. A.-M. Khan, Kim D. Human Activity Recognition Using Attention-Mechanism-Based Deep Learning Feature Combination. Sensors. 2023; 23(12):5715. https://doi.org/10.3390/s23125715.
Md. J. Raihan, M. A.-M. Khan, S.-H. Kee, and A.-A. Nahid, “Detection of the chronic kidney disease using XGBoost classifier and explaining the influence of the attributes on the model using shap,” Scientific Reports, vol. 13, no. 1, 2023. https://doi.org/10.1038/s41598-023-33525-0
Abdulmalek, S.; Nasir, A.; Jabbar, W.A.; Almuhaya, M.A.M.; Bairagi, A.K.; M. A.-M. Khan; Kee, S.-H. IoT-Based Healthcare-Monitoring System towards Improving Quality of Life: A Review. Healthcare 2022, 10, 1993. https://doi.org/10.3390/healthcare10101993
I. A. Talin, M. H. Abid, M. A.-M. Khan, S.-H. Kee, and A.-A. Nahid, “Finding the influential clinical traits that impact on the diagnosis of heart disease using statistical and machine-learning techniques,” Scientific Reports, vol. 12, no. 1, 2022. https://doi.org/10.1038/s41598-022-24633-4
N. Sikder, M. A.-M. Khan, A. K. Bairagi, M. Masud, and A.-A. Nahid, “Heterogeneous virus classification using a functional deep learning model based on transmission electron microscopy images,” Tech. Rep., 2023,doi:10.13140/RG.2.2.27798.11849/1
M. A.-M. Khan, Z. Chen, and L. Liu, "C^2DA: Contrastive and Context-aware Domain Adaptive Semantic Segmentation", International Symposium of Robotics Research (ISRR), Long Beach, California, 2024.
M. A.-M. Khan et al., "A Vision-Based Lane Detection Approach for Autonomous Vehicles Using a Convolutional Neural Network Architecture," 2021 Joint 10th International Conference on Informatics, Electronics Vision (ICIEV) and 2021 5th International Conference on Imaging, Vision Pattern Recognition (icIVPR), 2021, pp. 1-10, https://doi.org/10.1109/ICIEVicIVPR52578.2021.9564229
M. A.-M. Khan, A. Nabi, A. Nahid, and Y. Ali, "Temperature Sensed Obstacle Avoiding Robot," 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE), IEEE Conference, Cox’sBazar, Bangladesh, 2019, pp. 1-6. https://doi.org/10.1109/ECACE.2019.8679230