Stenosis 发表于 2025-3-21 17:32:47
书目名称Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0185724<br><br> <br><br>书目名称Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0185724<br><br> <br><br>书目名称Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0185724<br><br> <br><br>书目名称Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0185724<br><br> <br><br>书目名称Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0185724<br><br> <br><br>书目名称Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0185724<br><br> <br><br>书目名称Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0185724<br><br> <br><br>书目名称Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0185724<br><br> <br><br>书目名称Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0185724<br><br> <br><br>书目名称Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0185724<br><br> <br><br>sorbitol 发表于 2025-3-21 20:23:38
Experimental Analysis of Precipitation Forecasting Using Machine Learning and Distributed Machine Lee of 1.0*1.0. We have evaluated and compared the machine learning algorithms and distributed machine learning algorithms using Dask-ML. The Dask-ML enables distributed machine learning with data parallelism by efficiently processing extensive datasets across a cluster of machines, scaling workflows没有贫穷 发表于 2025-3-22 02:22:15
Artificial Intelligence and Machine Learning-Based Building Solutions: Pathways to Ensure Occupant on algorithms and AI-based controls. Finally, the concept of DT and its implementation in the building industry for energy conservation and occupant comfort management are examined in depth. DT is identified as a potential operating system for vast and complex buildings if implementation and standarFUME 发表于 2025-3-22 05:13:33
Deep Learning Models for Fine-Scale Climate Change Prediction: Enhancing Spatial and Temporal Resolent of deep learning models for predicting climate change. The chapter delves into various preprocessing techniques, such as data normalization, feature engineering, and dimensionality reduction, that aid in optimizing model performance. Additionally, the chapter explores downscaling methods that utenhance 发表于 2025-3-22 11:10:49
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Geoinformatics-Based Land Degradation Susceptibility Analysis and Sustainability of Palghar Sea Coast vulnerable, moderate, and less vulnerable. Mapping of coastal hazards is essential which includes understanding the flooding and erosion of the coastal zones, in order to protect the people and their property. A coastal regulation zone lines are marked at various levels as low tide line, high tidablate 发表于 2025-3-22 17:25:41
Climate Change and Maritime Security in the Indo-Pacific Region: A Strategic Approach,ssociated with the concept of maritime security: semiotics, securitization, and security practice theory. Semiotics reflects the different meanings by exploring the relationship between maritime security and other concepts, while securitization provides a means of understanding how maritime securityPRO 发表于 2025-3-23 00:08:08
Climate Change and Renewable Energy,gy and geothermal energy. There is a great need to develop sustainable economic technology to harness this renewable energy. Tidal energy has great potential to generate electricity, but it may affect the ocean ecosystem. Therefore, there is a great need to develop sustainable technology to harnessgerrymander 发表于 2025-3-23 04:18:56
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