[Book] Data Analysis, Modeling, and Application Development in Process Informatics (No. 2308) [Available for Preview]

★ Machine learning, soft sensors, Bayesian optimization, generative AI, experimental automation/autonomization
★ Changing processes through data-driven methods, understanding the applications of the latest technologies
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■ Key points of this book: A practical guide filled with know-how that can be used on-site
◆ "From basics to applications" in data analysis and modeling
◆ The "causes of failure" in process informatics and how to address them
◆ How to "make data usable"?
◆ A wealth of case studies for implementation and application by process area and stage!
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■ Table of Contents
Chapter 1: Collection and Management of Process Data
Chapter 2: Analytical Methods for Process Data
Chapter 3: Data-Driven Process Modeling Using Statistics and Machine Learning
Chapter 4: Process Simulation Techniques and Their Application Cases
Chapter 5: Application to Process Design, Optimization, and Control
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● Publication Date: July 30, 2025 ● Format: A4, 420 pages
● Authors: 73 contributors ● ISBN: 978-4-86798-089-7
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