Guest Editors
Dr. Zeshan Abbas
Email: abbasz_ultrasonic@126.com
Affiliation: Faculty of Intelligent Manufacturing Engineering, Guizhou Industry Polytechnic College, Guiyang, 551400, China
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Research Interests: Welding and Joining Technologies, Defect analysis, Machine Learning, Printing Technologies
Dr. Gousia Habib
Email: er.gousiya91@gmail.com
Affiliation: SEE SAW School of Public Health, National University of Singapore
Homepage:
Research Interests: AI for Healthcare, AI for Edge Computing, Machine Learning, Deep Learning, Computer Vision and Reinforcement Learning
Summary
Artificial Intelligence, particularly deep learning models enhanced with attention mechanisms and are rapidly transforming critical sectors such as industrial quality control, healthcare and the automotive industry.
Despite this potential, there remains a significant need for novel AI methodologies that can effectively enhance precision, efficiency and robustness in safety-critical tasks like defect detection, process optimization, anomaly detection and decision support within complex systems.
This special issue aims to explore how attention-driven AI, complemented by reinforcement learning (RL) and large language models (LLMs) can improve the efficiency and reliability of safety-critical systems. We invite contributions showcasing innovative methodologies, lightweight models, explainable AI (XAI) and real-world case studies that demonstrate advancements in industrial and healthcare applications.
Aim and Scope
To highlight recent advances in Artificial Intelligence applications that solve complex problems, enhance intelligent system performance and drive innovation across diverse engineering and scientific disciplines, bridging theory and practice. We invite original research article and reviews on topics including machine learning, deep learning, AI-driven optimization, defects analysis and interdisciplinary AI applications in areas such as intelligent manufacturing, materials science, mechanical engineering and computer science.
Submissions are welcome in the following themes, but not limited to:
· Al Attention Mechanisms in Healthcare, Aerospace and Automotive Industry
· Lightweight AI Models for Intelligent Manufacturing
· Non-Destructive Testing (NDT) and AI in Industrial Sectors
· AI Applications in Defects analysis of Complex Systems
· AI-Driven Design and Simulation in Materials Science and Mechanical Engineering
· Al use in Large Language Models (LLMs) and Other Machine Learning Models
Keywords
Artificial Intelligence, Deep Learning, Attention Mechanisms, Aerospace and Automotive Industry, Intelligent Manufacturing, Engineering Applications, Defects Analysis, Process Optimization
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