This repository is being prepared for archival. It represents a comprehensive historical record of COVID-19 data collection, analysis, and modeling efforts for South Africa from March 2020 through end ...
In a recent study published in the journal Nature Medicine, a group of researchers determined whether plasma-derived organ age predictions forecast disease and mortality and identified the organs that ...
Abstract: On May 28th, 2020, India recorded its 4711th death, with a total of 165,386 confirmed cases of COVID-19. Simultaneously, Ethiopia reported 7 deaths and 831 total confirmed cases. This ...
Over the past few years, the rapid development of machine learning (ML) models for weather forecasting has led to state-of-the-art ML models that have superior performance compared to the European ...
Nowadays, the deep learning methods are widely applied to analyze and predict the trend of various disaster events and offer the alternatives to make the appropriate decisions. These support the water ...
We established our weather forecast system via deep learning. The methodology involves training deep neural networks to take reanalysis weather data at a given point in time as input, and then produce ...
Supply chain management usually faces problems such as high empty rate of transportation, unreasonable inventory management, and large material consumption caused by inaccurate market demand forecasts ...
What is this book about? Deep learning has been gradually revolutionizing every field of artificial intelligence, making application development easier. This book covers the following exciting ...
Accurate prediction of the size and timing of infectious disease outbreaks could help public health officials in planning an appropriate response. This paper compares approaches developed by five ...
Between 1981 and 1989 the foreign intelligence branches of the Soviet KGB and the East German Ministry of State Security launched a combined effort to develop a system for detecting signs of an ...
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