توضیحات
This book explores how computational sciences and AI techniques can enhance industrial processes, from manufacturing and logistics to quality control and predictive maintenance. It covers topics such as machine learning, simulation, modeling, optimization algorithms, and intelligent automation systems. Through practical examples and case studies, readers learn how to implement AI-driven solutions that improve efficiency, reduce costs, and increase productivity. The text also addresses challenges such as system integration, scalability, and data management in industrial environments. By the end, readers gain insights and skills to apply computational and AI methods effectively in real-world industry applications.
نقد و بررسیها
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