Guest Editors
Assoc. Prof. Ching-Lung Fan
Email: p93228001@ntu.edu.tw
Affiliation: Department of Civil Engineering, The Republic of China Military Academy, Kaohsiung 830, Taiwan
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Research Interests: Computer Vision; Image Processing Technology; Deep Learning; Machine Learning; Rremote Sensing
Prof. Kuei-Hu Chang
Email: evenken2002@yahoo.com.tw
Affiliation: Department of Management Sciences, R.O.C. Military Academy, Fengshan, 83059, Taiwan
Homepage:
Research Interests: Fuzzy logic; Linguistic Algorithms; Natural Language Processing; Military Domain Knowledge Discovering; Soft Computing; Risk Assessment; Supply Chain; Reliability
Summary
Recent advances in Artificial Intelligence (AI) and Deep Learning (DL) have revolutionized Image Processing and Computer Vision, enabling unprecedented capabilities in Semantic Segmentation, Imagery Analysis, and Multi-Modal Data Fusion. These technologies are driving innovations in autonomous systems, medical diagnostics, remote sensing, and industrial automation. However, challenges such as model efficiency, interpretability, and generalization across diverse data modalities remain critical research frontiers. This Special Issue seeks to explore cutting-edge methodologies and applications that push the boundaries of AI-driven visual understanding.
Topics include but are not limited to the following:
· Deep learning for few-shot medical image segmentation
· Real-time anomaly detection in manufacturing using lightweight vision transformers
· Explainable AI for structural defect localization in engineering systems
Keywords
Artificial Intelligence, Deep Learning, Image Processing, Computer Vision, Semantic Segmentation, Imagery Analysis, Multi-Modal Data Fusion
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