Artificial Intelligence (AI) and Machine Learning in Mechanical and Industrial Engineering

Dear Colleagues,

This Special Issue on ‘Artificial Intelligence (AI) and Machine Learning in Mechanical and Industrial Engineering’ will explore the recent advancements, applications, and future prospects in integrating AI technologies into these engineering domains. AI and Machine Learning have revolutionized traditional mechanical and industrial engineering methods by offering intelligent, adaptive solutions capable of handling complex, high-dimensional problems efficiently. This Special Issue will highlight how AI-driven algorithms can optimize engineering designs, enhance predictive modeling, and significantly improve decision-making processes in areas such as manufacturing, automation, robotics, supply chain management, and advanced material design.

Featured contributions should demonstrate state-of-the-art approaches including large language models (LLMs), deep learning models, neural network techniques, reinforcement learning, transfer learning, and data-driven predictive analytics, emphasizing their potential in system diagnostics, predictive maintenance, quality control, process optimization, and smart manufacturing. Furthermore, this Special Issue will address critical challenges such as computational complexity, data scarcity, interpretability, and the ethical implications of AI deployment in mechanical and industrial engineering. Researchers and practitioners are invited to examine practical case studies, theoretical advancements, and innovative frameworks presented in this Special Issue, offering insights into harnessing AI effectively to foster technological growth, sustainability, and resilience in these engineering disciplines. This compilation will serve as an essential resource to guide future research trajectories and encourage interdisciplinary collaboration for enhanced engineering solutions.

Prof. Dr. David He
Guest Editor

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