Objective To analyse temporal trends of respiratory infectious diseases (RIDs) in Baiyin City from 2014 to 2023, aiming to explore the epidemiological patterns of these diseases (tuberculosis, scarlet ...
The Huang-Huai-Hai region is a major winter wheat production area in China. Achieving accurate yield estimation through high spatio-temporal resolution MODIS remote sensing combined with ...
Google's DeepMind just released WeatherNext 2, a new version of its AI weather prediction model. The company promises that it "delivers more efficient, more accurate and higher-resolution global ...
Abstract: Spatio-temporal wind speed forecasting plays a crucial role in enhancing energy conversion efficiency and optimizing resource allocation, forming a cornerstone of sustainable development.
Objectives: Due to political polarization, adherence to public health measures varied across US states during the COVID-19 pandemic. Although social media posts have been shown effective in ...
Google LLC today detailed an artificial intelligence model that can forecast the path and intensity of tropical cyclones days in advance. According to the company, the algorithm was developed through ...
A Microsoft model can make accurate 10-day forecasts quickly, an analysis found. And, it’s designed to predict more than weather. By Rebecca Dzombak Weather forecasters rely on models to help them ...
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