[Book] Process Informatics Development (No. 2308)
[Available for preview] ★ Machine learning, soft sensors, Bayesian optimization, generative AI, experimental automation/autonomy
Book Title: Data Analysis, Modeling, and Application Development in Process Informatics －－－－－－－－－－－－－－－－－－－－－ Understanding where to apply the latest technologies to change processes through data-driven approaches －－－－－－－－－－－－－－－－－－－－－ ■ Key Points of This Book: A practical guide filled with actionable know-how for practitioners ◆ "From Basics to Applications" of Data Analysis and Modeling ~ Variable selection, model building, sensor design, Bayesian optimization, autonomous experiments ◆ Reasons Why Process Informatics "Fails" and How to Address Them ~ Challenges in the implementation process, data shortages, examples of variable selection failures ◆ How to "Transform Data into Usable Forms?" ~ Data alignment between experiments and manufacturing, equipment integration, real-time analysis ◆ Richly includes case studies of implementation and deployment by process area and stage! ~ Specific examples of "which industries," "what equipment or processes," and "how they were designed" ■ Manufacturing Processes Covered in This Book - Synthesis, drying processes, crystallization, granulation, stirring, cultivation, freezing, coating, film formation, rolling, pressing, fluid dynamics, reactions, gas absorption, fermentation
basic information
■ Products (Target Objects) - Polymers, composite materials (resins, resin films) - General materials (chemicals, polymers, inorganic materials) - Gas sensor materials (semiconductor sensors) - Alloys (examples of alloy design) - Semiconductors (organic semiconductors, thin films, etching processes) - Battery electrodes (coating, drying, pressing) - Conditioning materials (perovskite solar cells) - Pharmaceuticals (active ingredients, formulations) - Cells (human iPS cells, stem cells) - Microorganisms (fermentation bacteria, etc.) - Slurry －－－－－－－－－－－－－－－－－－－－－ ■ 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 Examples Chapter 5: Application to Process Design, Optimization, and Control －－－－－－－－－－－－－－－－－－－－－ ● Publication Date: July 30, 2025 ● Format: A4, 420 pages ● Authors: 73 ● ISBN: 978-4-86798-089-7 －－－－－－－－－－－－－－－－－－－－－
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88,000 yen (including tax) [shipping included] Various discount programs are available. Please contact us.
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P2
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P2
Model number/Brand name
2308 Process Informatics
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