Hoover 发表于 2025-3-21 18:05:52

书目名称Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation影响因子(影响力)<br>        http://figure.impactfactor.cn/if/?ISSN=BK0469563<br><br>        <br><br>书目名称Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation影响因子(影响力)学科排名<br>        http://figure.impactfactor.cn/ifr/?ISSN=BK0469563<br><br>        <br><br>书目名称Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation网络公开度<br>        http://figure.impactfactor.cn/at/?ISSN=BK0469563<br><br>        <br><br>书目名称Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation网络公开度学科排名<br>        http://figure.impactfactor.cn/atr/?ISSN=BK0469563<br><br>        <br><br>书目名称Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation被引频次<br>        http://figure.impactfactor.cn/tc/?ISSN=BK0469563<br><br>        <br><br>书目名称Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation被引频次学科排名<br>        http://figure.impactfactor.cn/tcr/?ISSN=BK0469563<br><br>        <br><br>书目名称Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation年度引用<br>        http://figure.impactfactor.cn/ii/?ISSN=BK0469563<br><br>        <br><br>书目名称Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation年度引用学科排名<br>        http://figure.impactfactor.cn/iir/?ISSN=BK0469563<br><br>        <br><br>书目名称Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation读者反馈<br>        http://figure.impactfactor.cn/5y/?ISSN=BK0469563<br><br>        <br><br>书目名称Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation读者反馈学科排名<br>        http://figure.impactfactor.cn/5yr/?ISSN=BK0469563<br><br>        <br><br>

declamation 发表于 2025-3-21 20:48:26

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agglomerate 发表于 2025-3-22 03:48:06

Energy Dissipation in Rough Chute: Experimental Approach Versus Artificial Intelligence Modeling,ccurs at the slopes of 16.4 and 35°, respectively. CCNN model yields excellent performance for predicting of relative energy loss (. = 0.983 and RMSE = 0.02). The methodologies are adaptable in real decision support systems for disaster risk mitigation.

半球 发表于 2025-3-22 04:57:41

Spatial Modeling of Soil Erosion Susceptibility with Support Vector Machine,the SVM model performed well in both training (AUC = 84.1% and TSS = 0.651) and validation (AUC = 81.2% and TSS = 0.62) steps. Therefore, SVM is capable to accurately model soil erosion in data-scarce regions. The adopted methodology can be used as an efficient approach for land-use planning and adopting mitigation strategies.

不能妥协 发表于 2025-3-22 11:55:03

2363-7633 case studies on advanced data analytics for real-life decisiThis 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 forewa

6Applepolish 发表于 2025-3-22 14:27:31

Bayesian Markov Chain Monte Carlo-Based Copulas: Factoring the Role of Large-Scale Climate Indices monthly FI that can be predicted at least four months ahead using SOI information. These advanced flood prediction models, presented in this chapter, are indeed imperative tools for civil protection and important to early warning and risk reduction systems.

易于交谈 发表于 2025-3-22 20:14:52

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折磨 发表于 2025-3-22 22:24:27

2363-7633 seful reference for graduate student, academics, practicing scientists and professionals of disaster management, artificial intelligence, and  environmental sciences. 978-981-15-5774-3978-981-15-5772-9Series ISSN 2363-7633 Series E-ISSN 2363-7641

Peristalsis 发表于 2025-3-23 03:31:16

Intelligent Data Analytics for Decision-Support Systems in Hazard MitigationTheory and Practice

MERIT 发表于 2025-3-23 08:05:13

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查看完整版本: Titlebook: Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation; Theory and Practice Ravinesh C. Deo,Pijush Samui,Zaher Mundh