Machine Learning
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Challenges and Innovations in Corrosion Prevention
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Artificial Intelligence Applications in Sustainable Buildings: A Systematic Synthesis of Machine and Deep Learning Approaches
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Comparative Analysis of Generative AI-Augmented Machine Learning Models for Embodied CO₂ Prediction in Multi-Story Structural Systems
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Data-driven fault detection and diagnosis in automated manufacturing systems
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Machine learning-assisted life cycle assessment for sustainable and environmentally responsible manufacturing
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Machine learning–based predictive control for energy-efficient manufacturing systems
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Machine learning-based digital twin development for real-time monitoring of mechanical processes
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Data-driven fault detection in renewable energy systems using hybrid machine learning techniques
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AI-enabled real-time process optimization in smart manufacturing environments