株式会社極東書店トップ ＞ 商品一覧 ＞ AI and Data Science for a Climate-Resilient and Sustainable Future: Proceedings of the International Conference on AI and Data Science Applications and Advances.
商品詳細
AI and Data Science for a Climate-Resilient and Sustainable Future: Proceedings of the International Conference on AI and Data Science Applications and Advances.
・ISBN 978-3-032-36328-2 hard EUR 249.99
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| 著者・編者 | Mukandavire, Zindoga / Ali, Hannah Al / Daneshkhah, Alireza / Sahadevan, Deepudev (eds.), |
|---|---|
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2026 |
| ページ数 | 740 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-86350＞ |
解説
AI and Data Science for a Climate-Resilient and Sustainable Future presents the latest advancements, applications, and innovations showcased at the first International Conference on AI and Data Science Applications and Advances (ICADAA 2025). The book explores how artificial intelligence and data-driven technologies are being utilized to develop climate-resilient societies, sustainable economies, and environmentally responsible industries. Featuring cutting-edge research and interdisciplinary perspectives, this volume delves into topics such as AI-enabled climate modeling, predictive analytics for disaster resilience, green computing, digital twins for environmental planning, and data-driven approaches to sustainable agriculture, mobility, and resource management. Special attention is given to sectors most affected by the climate crisis, including energy, transportation, aviation, and urban planning. The book also addresses critical issues, including ethical AI, responsible innovation, climate finance, environmental governance, and the integration of AI in policy formulation. Through case studies, empirical findings, and forward-looking insights, this volume demonstrates how AI and data science can accelerate the global transition toward sustainability.
Written for researchers, practitioners, policymakers, and industry professionals, this proceedings volume serves as a timely and comprehensive reference for understanding the transformative role of data-driven technologies in tackling climate change and fostering a sustainable future.