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Sinopsis
In today's competitive manufacturing environment, maintaining product quality ensures operational efficiency, customer satisfaction, and regulatory compliance. Traditional quality control methods can be time-consuming, containing human error. Artificial intelligence (AI) transforms industrial quality control by enabling real-time monitoring, automated detection, predictive analytics, and data-driven decision-making. Through advanced technologies, AI applications help manufacturers identify quality issues, reduce production waste, and optimize process performance. As industries embrace digital transformation, AI-driven quality control systems achieve higher standards of reliability, productivity, and competitiveness. Strengthening Industrial Quality Control With AI Applications explores how AI improves accuracy, efficiency, and consistency in industrial sectors. It examines the benefits, challenges, and real-world applications of AI in detection, process monitoring, quality assurance, and decision-making in manufacturing environments. This book covers topics such as manufacturing, quality control, and data science, and is a useful resource for engineers, business owners, academicians, researchers, and scientists.
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Acerca del autor
Rahul K. Patel is a cybersecurity and information systems management expert with over 25 years of experience in high-tech, banking, and government sectors. An Adjunct Industry Associate Professor at the Illinois Institute of Technology, he is the author of AI Frameworks and Tools for Software Development and Essential Information Systems Service Management, and has published widely on AI applications, digital literacy, blockchain security, and privacy-preserving architectures. Dr. Patel holds a PhD in Management of Information Systems from Northcentral University and multiple professional cybersecurity certifications.
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Hardcover. Condición: new. Hardcover. In today's competitive manufacturing environment, maintaining product quality ensures operational efficiency, customer satisfaction, and regulatory compliance. Traditional quality control methods can be time-consuming, containing human error. Artificial intelligence (AI) transforms industrial quality control by enabling real-time monitoring, automated detection, predictive analytics, and data-driven decision-making. Through advanced technologies, AI applications help manufacturers identify quality issues, reduce production waste, and optimize process performance. As industries embrace digital transformation, AI-driven quality control systems achieve higher standards of reliability, productivity, and competitiveness. Strengthening Industrial Quality Control With AI Applications explores how AI improves accuracy, efficiency, and consistency in industrial sectors. It examines the benefits, challenges, and real-world applications of AI in detection, process monitoring, quality assurance, and decision-making in manufacturing environments. This book covers topics such as manufacturing, quality control, and data science, and is a useful resource for engineers, business owners, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9798337397252
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Hardcover. Condición: new. Hardcover. In today's competitive manufacturing environment, maintaining product quality ensures operational efficiency, customer satisfaction, and regulatory compliance. Traditional quality control methods can be time-consuming, containing human error. Artificial intelligence (AI) transforms industrial quality control by enabling real-time monitoring, automated detection, predictive analytics, and data-driven decision-making. Through advanced technologies, AI applications help manufacturers identify quality issues, reduce production waste, and optimize process performance. As industries embrace digital transformation, AI-driven quality control systems achieve higher standards of reliability, productivity, and competitiveness. Strengthening Industrial Quality Control With AI Applications explores how AI improves accuracy, efficiency, and consistency in industrial sectors. It examines the benefits, challenges, and real-world applications of AI in detection, process monitoring, quality assurance, and decision-making in manufacturing environments. This book covers topics such as manufacturing, quality control, and data science, and is a useful resource for engineers, business owners, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798337397252
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Hardcover. Condición: new. Hardcover. In today's competitive manufacturing environment, maintaining product quality ensures operational efficiency, customer satisfaction, and regulatory compliance. Traditional quality control methods can be time-consuming, containing human error. Artificial intelligence (AI) transforms industrial quality control by enabling real-time monitoring, automated detection, predictive analytics, and data-driven decision-making. Through advanced technologies, AI applications help manufacturers identify quality issues, reduce production waste, and optimize process performance. As industries embrace digital transformation, AI-driven quality control systems achieve higher standards of reliability, productivity, and competitiveness. Strengthening Industrial Quality Control With AI Applications explores how AI improves accuracy, efficiency, and consistency in industrial sectors. It examines the benefits, challenges, and real-world applications of AI in detection, process monitoring, quality assurance, and decision-making in manufacturing environments. This book covers topics such as manufacturing, quality control, and data science, and is a useful resource for engineers, business owners, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9798337397252
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Buch. Condición: Neu. Strengthening Industrial Quality Control With AI Applications | Rahul K. Patel | Buch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337397252 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 136369141
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Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In today's competitive manufacturing environment, maintaining product quality ensures operational efficiency, customer satisfaction, and regulatory compliance. Traditional quality control methods can be time-consuming, containing human error. Artificial intelligence (AI) transforms industrial quality control by enabling real-time monitoring, automated detection, predictive analytics, and data-driven decision-making. Through advanced technologies, AI applications help manufacturers identify quality issues, reduce production waste, and optimize process performance. As industries embrace digital transformation, AI-driven quality control systems achieve higher standards of reliability, productivity, and competitiveness. Strengthening Industrial Quality Control With AI Applications explores how AI improves accuracy, efficiency, and consistency in industrial sectors. It examines the benefits, challenges, and real-world applications of AI in detection, process monitoring, quality assurance, and decision-making in manufacturing environments. This book covers topics such as manufacturing, quality control, and data science, and is a useful resource for engineers, business owners, academicians, researchers, and scientists. Nº de ref. del artículo: 9798337397252
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