| 书目名称 | Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation |
| 副标题 | Theory and Practice |
| 编辑 | Ravinesh C. Deo,Pijush Samui,Zaher Mundher Yaseen |
| 视频video | |
| 概述 | Presents novel applications of artificial neural networks to design practical alert systems for natural hazards.Offers concise theories and case studies on advanced data analytics for real-life decisi |
| 丛书名称 | Springer Transactions in Civil and Environmental Engineering |
| 图书封面 |  |
| 描述 | This book highlights cutting-edge applications of machine learning techniques for disaster management by monitoring, analyzing, and forecasting hydro-meteorological variables. Predictive modelling is a consolidated discipline used to forewarn the possibility of natural hazards. In this book, experts from numerical weather forecast, meteorology, hydrology, engineering, agriculture, economics, and disaster policy-making contribute towards an interdisciplinary framework to construct potent models for hazard risk mitigation. The book will help advance the state of knowledge of artificial intelligence in decision systems to aid disaster management and policy-making. This book can be a useful reference for graduate student, academics, practicing scientists and professionals of disaster management, artificial intelligence, and environmental sciences. |
| 出版日期 | Book 2021 |
| 关键词 | disaster risk management; artificial intelligence; machine learning algorithms; environmental sciences; |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-15-5772-9 |
| isbn_softcover | 978-981-15-5774-3 |
| isbn_ebook | 978-981-15-5772-9Series ISSN 2363-7633 Series E-ISSN 2363-7641 |
| issn_series | 2363-7633 |
| copyright | Springer Nature Singapore Pte Ltd. 2021 |
发表于 2025-3-21 18:05:52
