Background Unprecedented, forced displacement, especially from conflict and war areas, requires addressing resultant mental ...
Researchers in United Arab Emirates have developed a novel model that relies on either the open-circuit voltage or the maximum power point voltage to estimate PV module operating temperature without ...
A research team has developed a novel deep learning framework, RsegNet, to revolutionize how rubber tree plantations are ...
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AI-Powered Radar Model Predicts Ground Subsidence in Mining Regions with Unprecedented Accuracy
XGBoost, this research offers a reliable framework for predicting mining subsidence, promoting sustainable practices and ...
Groundwater quality in Kasganj is critically compromised. This study uses advanced machine learning to predict contamination ...
Industrial dyes used in textiles, plastics, paper, and cosmetics make wastewater vividly colored and potentially toxic. Many ...
The following information was released by the Federal Reserve Bank of Atlanta:. In preparation for FOMC meetings, policymakers have the Fed Board staff projection of this "advance" estimate at their ...
To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min Vantage has a number of data ...
A Fresno Unified School District clerical mistake highlights how easy it is to introduce significant errors into data, which then become part of the permanent state record. In 2019-20 and 2020-21, ...
Abstract: Accurate prediction of photovoltaic power is crucial to optimize its integration into the power grid. However, this task is highly complex due to the inherently stochastic nature of ...
BESSEMER, Ala.—They all came here for peace, and so far, the land has given it to them. For Marshall Killingsworth, the peace comes from the owls whose hoots echo across the valley as he sits in his ...
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