Md. Mohsin Kabir
Orcid: 0000-0001-9624-5499
According to our database1,
Md. Mohsin Kabir
authored at least 23 papers
between 2023 and 2025.
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Bibliography
2025
IEEE J. Biomed. Health Informatics, June, 2025
Iran J. Comput. Sci., June, 2025
Advancements and challenges of deep learning architectures for aerial image analysis: A systematic review.
Intell. Syst. Appl., 2025
Terrain detection and segmentation for autonomous vehicle navigation: A state-of-the-art systematic review.
Inf. Fusion, 2025
Comput. Biol. Medicine, 2025
Comput. Biol. Chem., 2025
Taxonomy, challenges, and future directions for AI-driven industrial cooling systems.
Array, 2025
MangoLeafXNet: An Explainable Deep Learning Model for Accurate Mango Leaf Disease Classification.
IEEE Access, 2025
Automatic Navigation and Self-Driving Technology in Agricultural Machinery: A State-of-the-Art Systematic Review.
IEEE Access, 2025
2024
Advancing low-light object detection with you only look once models: An empirical study and performance evaluation.
Cogn. Comput. Syst., December, 2024
Recent advancements and challenges of NLP-based sentiment analysis: A state-of-the-art review.
Nat. Lang. Process. J., 2024
Deep learning-based natural language processing in human-agent interaction: Applications, advancements and challenges.
Nat. Lang. Process. J., 2024
Advanced sleep disorder detection using multi-layered ensemble learning and advanced data balancing techniques.
Frontiers Artif. Intell., 2024
Machine learning and deep learning for user authentication and authorization in cybersecurity: A state-of-the-art review.
Comput. Secur., 2024
Explainable AI approaches in deep learning: Advancements, applications and challenges.
Comput. Electr. Eng., 2024
Palm Leaf Health Management: A Hybrid Approach for Automated Disease Detection and Therapy Enhancement.
IEEE Access, 2024
Deep Learning and Computer Vision Techniques for Enhanced Quality Control in Manufacturing Processes.
IEEE Access, 2024
Generative Adversarial Networks (GANs) in Medical Imaging: Advancements, Applications, and Challenges.
IEEE Access, 2024
Optimizing Magnetic Resonance Imaging Analysis for Brain Tumors: A Lightweight Neural Network Approach.
Proceedings of the 3rd International Conference on Computing Advancements, 2024
AnoSegNet: Anomaly Detection and Segmentation Using Convolutional Neural Networks with Variational Autoencoders for Enhancing Industrial Quality Control.
Proceedings of the 3rd International Conference on Computing Advancements, 2024
2023
Advancing Wildlife Protection: Mask R-CNN for Rail Track Identification and Unwanted Object Detection.
IEEE Access, 2023