The guidebook outlines innovative machine learning techniques for road quality monitoring, using satellite imagery and ...
Florida State University chemists have created a machine learning tool that can identify the chemical composition of dried ...
Low-level clouds over the oceans, extensively studied for their role in climate change, are re-examined from a new perspective that applies machine learning to radar observations.
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Machine learning model outperforms traditional methods in myelofibrosis risk stratificationA machine learning model generated by a team from the European Society for Blood and Marrow Transplantation (EBMT) ...
Santa Clara, California - Machine learning has proven to be a powerful tool in addressing critical real-world challenges, ...
What better way to track whales than listening in on them? Passive acoustic monitoring, in which microphones are placed ...
A machine learning algorithm developed by Cambridge scientists was able to correctly identify in 97 cases out of 100 whether ...
A research team from the Xinjiang Technical Institute of Physics and Chemistry of the Chinese Academy of Sciences has made ...
UK: Inter-city operator LNER is rolling out a machine learning-based tool which helps its station staff predict train delays ...
Machine learning may help identify biomarkers and develop predictive models that could assist in the diagnosis of metabolic ...
LNER has begun the implementation of new machine learning technology to help predict train delays along its routes.
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