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Springer Machine Learning Applications for Bioenergy Conversion (Green Energy and Technology)

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Description

This book explores the integration of machine learning algorithms with bioenergy conversion processes, providing an innovative approach to tackling the challenges of sustainable energy production. The authors have written dozens of peer reviewed papers on this topic over the past 8 years and this book is a culmination of their efforts. It delves into various machine learning techniques tailored to optimize and enhance the efficiency of bioenergy processes, making it a critical resource for researchers, engineers, and students in the fields of renewable energy and machine learning.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
03 January 2026
Listed Since
02 May 2025

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