Name: Smart Heat Transfer and Thermal Management. Leveraging AI, Machine Learning, and Soft Computing
SKU: 64763801
Price: 259.64 USD
Availability: InStock
Author: George D. Verros;Raj Kumar Arya;J. Paulo Davim

portada Smart Heat Transfer and Thermal Management. Leveraging AI, Machine Learning, and Soft Computing

Smart Heat Transfer and Thermal Management. Leveraging AI, Machine Learning, and Soft Computing

Formato

Libro Físico

Editorial

Woodhead Publishing

Autor

George D. Verros;Raj Kumar Arya;J. Paulo Davim

Colección

Woodhead Publishing Reviews: Mechanical Engineering Series

Año

2025

N° páginas

552

Encuadernación

Tapa Blanda

Dimensiones

22.9x15.2 cm

ISBN13

9780443338816

Smart Heat Transfer and Thermal Management. Leveraging AI, Machine Learning, and Soft Computing

George D. Verros;Raj Kumar Arya;J. Paulo Davim (Autor) · Woodhead Publishing · Tapa Blanda

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Reseña del libro "Smart Heat Transfer and Thermal Management. Leveraging AI, Machine Learning, and Soft Computing"

Smart Heat Transfer and Thermal Management: Leveraging AI, Machine Learning, and Soft Computing revolutionizes heat transfer engineering by integrating artificial intelligence (AI), machine learning (ML), and soft computing. This groundbreaking book delves into state-of-the-art research and practical applications, providing a holistic approach to optimize thermal management. By deepening the understanding of heat transfer principles while explaining AI, ML, and soft computing methodologies, it offers innovative solutions for heat transfer challenges across various industries. The synergy between these disciplines results in enhanced predictive modeling, system optimization, and thermal control for improved energy efficiency and cost-effectiveness. Soft computing techniques, including fuzzy logic and neural networks, expand traditional heat transfer methods, allowing for adaptive and intelligent thermal systems. Through case studies, simulations, and real-world examples, the book demonstrates how AI and ML-driven algorithms can lead to sustainable and eco-friendly thermal management solutions, making it a valuable resource for engineers, researchers, and students alike.