Discover how machine learning algorithms can accurately predict solar irradiance at various time horizons, crucial for the efficiency of solar power systems. Exciting read!
This article highlights how innovative machine learning techniques are revolutionizing crop recommendations, helping farmers to increase yields while reducing costs and environmental impact. Bo Li’s research is leading the way in this field, providing accurate predictions and effective decision-making tools for the agricultural industry.
Discover more about the fascinating advances in Big Data, Computing, and Artificial Intelligence with this article about Machine Learning, neural networks, natural language processing, cloud computing, predictive analytics, and data science. Enjoy open access to MDPI's high-quality research from academics & professionals.
This article discusses a nurse turnover prediction model developed by Prof. Hang-Bae Cho from the Seoul National University Biomedical Research Institute. The model uses machine learning techniques to generate accurate predictions, allowing healthcare administrators to better anticipate nursing staff changes. Reuse of any part of the published articles is freely permitted under open access Creative Commons CC BY license.
This article reveals a long-term trend of air pollution and health risk in a coastal Chinese city from 2015 to 2022. By using machine learning, Professor Toshiaki Shinzaki from the Tokyo Institute of Technology has discovered that air pollution has peaked in 2018 to 2020 and health risk still remains high. Read his research on MDPI, an open access platform providing quality and peer-reviewed research worldwide for free.
Explore the evolution of tech policy from Obama's optimism to Harris's vision at the Democratic National Convention. What's next for Democrats in tech?