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portada Data-Driven Machine Learning Applications in Thermochemical Conversion Processes
Type
Physical Book
Publisher
Author
Language
English
Pages
350
Format
Paperback
ISBN13
9780443333729

Data-Driven Machine Learning Applications in Thermochemical Conversion Processes

Okolie, Jude; Giwa, Adewale; Okoye, Patrick (Author) · Elsevier · Paperback

Data-Driven Machine Learning Applications in Thermochemical Conversion Processes - Okolie, Jude; Giwa, Adewale; Okoye, Patrick

New Book Imported to Taiwan
Delivery: 01 Oct - 12 Oct Shipping: 10 to 12 business days.
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Synopsis "Data-Driven Machine Learning Applications in Thermochemical Conversion Processes"

Data-Driven Machine Learning Applications in Thermochemical Conversion Processes delves into the prospect of machine learning applications to optimize and enhance advanced thermochemical conversion processes, which are essential for converting biomass into energy and other valuable products. This book covers ML applications in higher heating value (HHV) predictions, catalyst screening, prediction of biofuels properties, material discovery and screening, as well as advancing emerging thermochemical conversion process technologies. Providing an in-depth examination of how big data analytics and ML models can be harnessed to predict system performance, understand complex reaction mechanisms, and accelerate development of innovative conversion technologies, as well as focusing on both theoretical and practical aspects, this book will be a welcome reference for researchers, engineers, and practitioners.

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