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CRC Press AI and Machine Learning in Heat Transfer Optimization

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Description

Explore the intersection of advanced computing and thermal sciences with this specialized text from CRC Press. Artificial Intelligence and Machine Learning in Heat Transfer Optimization for Sustainable Energy Systems provides a deep look into how modern computational methods can improve energy efficiency. This book is designed for professionals and students working within the fields of computer science and sustainable energy. It examines how machine learning techniques can be applied to optimize heat transfer processes, which is a fundamental requirement for developing more effective energy systems. By integrating AI methodologies into thermal engineering, researchers can find new ways to manage energy more sustainably. Whether you are studying computer science or working in energy engineering, this resource offers technical insights into applying intelligent algorithms to complex physical systems. It serves as a valuable addition to any academic or professional library focused on the future of sustainable technology and computational intelligence.

Key Features

Focuses on the application of AI and machine learning within the field of heat transfer optimization.

Provides technical insights relevant to the development of sustainable energy systems.

Published by CRC Press, a recognized name in professional and academic literature.

Covers topics at the intersection of computer science and thermal engineering.

Serves as a resource for researchers looking to integrate intelligent algorithms into energy processes.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
31 March 2026
Listed Since
04 October 2025

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