Items related to Artificial Intelligence for Intelligent Process Monitoring:...
Artificial Intelligence for Intelligent Process Monitoring: From Pattern Recognition to Smart Manufacturing Applications - Softcover
Synopsis
Manufacturing is entering a new era driven by Artificial Intelligence, Industry 4.0, and the transition toward Industry 5.0. Intelligent monitoring systems are becoming essential for improving product quality, optimizing industrial processes, reducing operational costs, and supporting reliable decision-making. This book presents a practical and progressive introduction to Artificial Intelligence for industrial process monitoring. Beginning with the foundations of Statistical Process Control and Control Chart Pattern Recognition, it explores the evolution toward Artificial Neural Networks, Neuro-Fuzzy Systems (ANFIS), Deep Learning, Explainable Artificial Intelligence, and modern hybrid CNN–ANFIS architectures. Unlike many books that focus exclusively on algorithms, this work emphasizes the industrial application of Artificial Intelligence through real manufacturing examples, practical methodologies, and an industrial case study based on the Tennessee Eastman Process. Readers will discover how modern AI techniques can transform industrial data into actionable knowledge for fault diagnosis, predictive monitoring, intelligent quality control, and smart manufacturing. Written for graduate students, researchers, engineers, and industrial practitioners, this book provides a bridge between academic research and real industrial implementation while offering a clear vision of the future of Explainable Artificial Intelligence and Industry 5.0.
"synopsis" may belong to another edition of this title.
Search results for Artificial Intelligence for Intelligent Process Monitoring:...
Stock Image
Artificial Intelligence for Intelligent Process Monitoring (Paperback)
Print on DemandSeller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. Manufacturing is entering a new era driven by Artificial Intelligence, Industry 4.0, and the transition toward Industry 5.0. Intelligent monitoring systems are becoming essential for improving product quality, optimizing industrial processes, reducing operational costs, and supporting reliable decision-making. This book presents a practical and progressive introduction to Artificial Intelligence for industrial process monitoring. Beginning with the foundations of Statistical Process Control and Control Chart Pattern Recognition, it explores the evolution toward Artificial Neural Networks, Neuro-Fuzzy Systems (ANFIS), Deep Learning, Explainable Artificial Intelligence, and modern hybrid CNN-ANFIS architectures. Unlike many books that focus exclusively on algorithms, this work emphasizes the industrial application of Artificial Intelligence through real manufacturing examples, practical methodologies, and an industrial case study based on the Tennessee Eastman Process. Readers will discover how modern AI techniques can transform industrial data into actionable knowledge for fault diagnosis, predictive monitoring, intelligent quality control, and smart manufacturing. Written for graduate students, researchers, engineers, and industrial practitioners, this book provides a bridge between academic research and real industrial implementation while offering a clear vision of the future of Explainable Artificial Intelligence and Industry 5.0. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9789999348836
Stock Image
Artificial Intelligence for Intelligent Process Monitoring
Print on DemandSeller: PBShop.store US, Wood Dale, IL, U.S.A.
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9789999348836
Stock Image
Artificial Intelligence for Intelligent Process Monitoring
Print on DemandSeller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9789999348836
Buy New
US$ 67.07
US$ 4.40 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: Over 20 available
Stock Image
Artificial Intelligence for Intelligent Process Monitoring: From Pattern Recognition to Smart Manufacturing Applications
Seller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Brand New. 129 pages. 6.00x0.30x9.00 inches. In Stock. Seller Inventory # x-9999348831
Buy New
US$ 64.18
US$ 13.36 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 2 available
Stock Image
Artificial Intelligence for Intelligent Process Monitoring
Print on DemandSeller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 130 pp. Englisch. Seller Inventory # 9789999348836
Buy New
US$ 64.64
US$ 25.64 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: 2 available
Stock Image
Artificial Intelligence for Intelligent Process Monitoring (Paperback)
Print on DemandSeller: AussieBookSeller, Truganina, VIC, Australia
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. Manufacturing is entering a new era driven by Artificial Intelligence, Industry 4.0, and the transition toward Industry 5.0. Intelligent monitoring systems are becoming essential for improving product quality, optimizing industrial processes, reducing operational costs, and supporting reliable decision-making. This book presents a practical and progressive introduction to Artificial Intelligence for industrial process monitoring. Beginning with the foundations of Statistical Process Control and Control Chart Pattern Recognition, it explores the evolution toward Artificial Neural Networks, Neuro-Fuzzy Systems (ANFIS), Deep Learning, Explainable Artificial Intelligence, and modern hybrid CNN-ANFIS architectures. Unlike many books that focus exclusively on algorithms, this work emphasizes the industrial application of Artificial Intelligence through real manufacturing examples, practical methodologies, and an industrial case study based on the Tennessee Eastman Process. Readers will discover how modern AI techniques can transform industrial data into actionable knowledge for fault diagnosis, predictive monitoring, intelligent quality control, and smart manufacturing. Written for graduate students, researchers, engineers, and industrial practitioners, this book provides a bridge between academic research and real industrial implementation while offering a clear vision of the future of Explainable Artificial Intelligence and Industry 5.0. 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. Seller Inventory # 9789999348836
Buy New
US$ 70.03
US$ 37.00 shipping
Ships from Australia to U.S.A.
Ships from Australia to U.S.A.
Quantity: 1 available
Stock Image
Artificial Intelligence for Intelligent Process Monitoring (Paperback)
Print on DemandSeller: CitiRetail, Stevenage, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. Manufacturing is entering a new era driven by Artificial Intelligence, Industry 4.0, and the transition toward Industry 5.0. Intelligent monitoring systems are becoming essential for improving product quality, optimizing industrial processes, reducing operational costs, and supporting reliable decision-making. This book presents a practical and progressive introduction to Artificial Intelligence for industrial process monitoring. Beginning with the foundations of Statistical Process Control and Control Chart Pattern Recognition, it explores the evolution toward Artificial Neural Networks, Neuro-Fuzzy Systems (ANFIS), Deep Learning, Explainable Artificial Intelligence, and modern hybrid CNN-ANFIS architectures. Unlike many books that focus exclusively on algorithms, this work emphasizes the industrial application of Artificial Intelligence through real manufacturing examples, practical methodologies, and an industrial case study based on the Tennessee Eastman Process. Readers will discover how modern AI techniques can transform industrial data into actionable knowledge for fault diagnosis, predictive monitoring, intelligent quality control, and smart manufacturing. Written for graduate students, researchers, engineers, and industrial practitioners, this book provides a bridge between academic research and real industrial implementation while offering a clear vision of the future of Explainable Artificial Intelligence and Industry 5.0. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9789999348836
Buy New
US$ 61.91
US$ 49.43 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 1 available
Stock Image
Artificial Intelligence for Intelligent Process Monitoring : From Pattern Recognition to Smart Manufacturing Applications
Print on DemandSeller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Manufacturing is entering a new era driven by Artificial Intelligence, Industry 4.0, and the transition toward Industry 5.0. Intelligent monitoring systems are becoming essential for improving product quality, optimizing industrial processes, reducing operational costs, and supporting reliable decision-making. This book presents a practical and progressive introduction to Artificial Intelligence for industrial process monitoring. Beginning with the foundations of Statistical Process Control and Control Chart Pattern Recognition, it explores the evolution toward Artificial Neural Networks, Neuro-Fuzzy Systems (ANFIS), Deep Learning, Explainable Artificial Intelligence, and modern hybrid CNN-ANFIS architectures. Unlike many books that focus exclusively on algorithms, this work emphasizes the industrial application of Artificial Intelligence through real manufacturing examples, practical methodologies, and an industrial case study based on the Tennessee Eastman Process. Readers will discover how modern AI techniques can transform industrial data into actionable knowledge for fault diagnosis, predictive monitoring, intelligent quality control, and smart manufacturing. Written for graduate students, researchers, engineers, and industrial practitioners, this book provides a bridge between academic research and real industrial implementation while offering a clear vision of the future of Explainable Artificial Intelligence and Industry 5.0. Seller Inventory # 9789999348836
Buy New
US$ 82.50
US$ 39.02 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: 2 available
Stock Image
Artificial Intelligence for Intelligent Process Monitoring
Print on DemandSeller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Manufacturing is entering a new era driven by Artificial Intelligence, Industry 4.0, and the transition toward Industry 5.0. Intelligent monitoring systems are becoming essential for improving product quality, optimizing industrial processes, reducing operational costs, and supporting reliable decision-making. This book presents a practical and progressive introduction to Artificial Intelligence for industrial process monitoring. Beginning with the foundations of Statistical Process Control and Control Chart Pattern Recognition, it explores the evolution toward Artificial Neural Networks, Neuro-Fuzzy Systems (ANFIS), Deep Learning, Explainable Artificial Intelligence, and modern hybrid CNN-ANFIS architectures. Unlike many books that focus exclusively on algorithms, this work emphasizes the industrial application of Artificial Intelligence through real manufacturing examples, practical methodologies, and an industrial case study based on the Tennessee Eastman Process. Readers will discover how modern AI techniques can transform industrial data into actionable knowledge for fault diagnosis, predictive monitoring, intelligent quality control, and smart manufacturing. Written for graduate students, researchers, engineers, and industrial practitioners, this book provides a bridge between academic research and real industrial implementation while offering a clear vision of the future of Explainable Artificial Intelligence and Industry 5.0. 130 pp. Englisch. Seller Inventory # 9789999348836
Buy New
US$ 64.64
US$ 66.88 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: 1 available