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51#
發(fā)表于 2025-3-30 08:32:28 | 只看該作者
52#
發(fā)表于 2025-3-30 15:33:47 | 只看該作者
53#
發(fā)表于 2025-3-30 16:44:36 | 只看該作者
Machine Learning Based Statistical Downscaling Approach for the Assessment of Climate Change Impact at M1, which combined the top 8 ranked predictors, performed the best throughout both the projection and downscaling phases. The final M1 results indicated that a decrease in precipitation will likely be experienced in the Damaturu region within the given period. In the months with the highest amoun
54#
發(fā)表于 2025-3-30 22:30:38 | 只看該作者
55#
發(fā)表于 2025-3-31 04:00:06 | 只看該作者
Evaluation of the Effects of Climate Change on Surface Water Resources at the Ain Kwachia Dam Using he year of commissioning of the dam subject of this research, and a supervised classification around the year 2021. The results obtained show that the variations affecting the study area have been noticeable in recent years, from 9.78 km. for 2016, to 4.23 km. for 2021, as a result of the repercussi
56#
發(fā)表于 2025-3-31 06:29:35 | 只看該作者
The Use of Artificial Intelligence to Optimise Water Resources: A Comprehensive Assessmentngs techniques can facilitate the design of an intelligent water management system for the sustainable use of natural resources. Our work explores different approaches to water management using AI, DL and IoT, drawing on case studies and statistical analysis to develop a successful water management
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