Computational Intelligence for Climate Change (Hardcover)

Idioma: inglés

Editorial: Springer Nature Switzerland AG, Cham, 2026

3032168031 / 9783032168030

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Hardcover. This book stands out in the field due to its interdisciplinary approach, integrating cutting-edge computational methods with environmental sciences to offer practical solutions for sustainable development. One of the most important worldwide issues of our day is climate change, which calls for creative, data-driven, and scalable solutions. A thorough examination of how computational intelligence (CI) methods can be applied to different facets of climate change, from assessing its effects to developing mitigation and adaptation plans, can be found in the book. The chapters explain how these tools can be harnessed to tackle the complexities of climate change. The book contextualizes climate change as a data-rich problem, highlighting the challenges posed by its vast, heterogeneous, and dynamic datasets. The book also discusses about climate data analytics, which discusses the role of CI in managing and analyzing large-scale climate data collected from satellites, weather stations, and IoT devices. This book presents techniques for preprocessing, cleaning, and normalizing climate data to enhance its usability. This book details the use of computational intelligence for creating accurate climate models. This book explores techniques for predicting long-term trends, such as global warming and sea level rise, and short-term events like hurricanes and heatwaves. Case studies demonstrate how machine learning algorithms, such as random forests and support vector machines, have been used to refine predictive models. It presents vulnerability analysis frameworks that use CI to assess the susceptibility of regions, ecosystems, and communities to climate risks. The book discusses real-world applications, such as identifying drought-prone areas using neural networks or assessing flood risks using fuzzy logic systems. The book delves into the integration of CI with emerging technologies such as blockchain, quantum computing, and the Internet of Things (IoT) for more robust climate solutions. The book also discusses about climate data analytics, which discusses the role of CI in managing and analyzing large-scale climate data collected from satellites, weather stations, and IoT devices. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

N° de ref. del artículo 9783032168030

Título
Computational Intelligence for Climate Change (Hardcover)
Autor
A. Jose Anand
Editorial
Springer Nature Switzerland AG, Cham
Año de publicación
2026
Estado
new
Encuadernación
Hardcover
Idioma
inglés
ISBN 10
3032168031
ISBN 13
9783032168030

Grand Eagle Retail

Bensenville, IL, Estados Unidos de America

Vendedor de 5 estrellas

Vendedor de AbeBooks desde 12 de octubre de 2005

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