Abstract: Weather prediction is essential across various domains, including agriculture, transportation, and disaster management, as it facilitates informed decision-making through reliable forecasts.

Production-ready machine learning system that predicts bike rental demand using real-world public APIs and historical data. Built with Docker-first architecture for seamless deployment, the system ...

Abstract: Weather forecasting primarily uses numerical weather prediction models that use weather observation data, including temperature and humidity, to predict future weather. The Korea ...

The EM Weather Station project demonstrates how ambient radio frequency (RF) spectra can be used to infer local weather conditions. Using a small spectrum analyser (TinySA) and a short stub antenna, I ...

1 AI Meteorological Research Division, National Institute of Meteorological Sciences, Jeju, Republic of Korea 2 Artificial Intelligence Meteorological Technology Research Society, Korea Meteorological ...

1 School of Information Engineering, Anhui University of Chinese Medicine, Hefei, China 2 School of Pharmaceutical Economics and Management, Anhui University of Chinese Medicine, Hefei, China ...

Thanks to A.I., companies like WindBorne hope to usher in a golden age of forecasting. But they rely in part on government data — and the agency that provides it is in turmoil. A WindBorne weather ...

1 Computer Science and Engineering, World University of Bangladesh, Dhaka, Bangladesh. 2 Business Analytics, International American University, California, USA. 3 ...