The prediction and modeling of ionospheric total electron content (TEC) have consistently been a focal point for researchers, as it holds significant implications for satellite positioning, navigation ...

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Early detection of CKD enables patients to receive timely treatment to ameliorate the progression of this disease. Machine learning models can effectively aid clinicians achieve this goal due to their ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs ...

Our AI prediction tool used multiple LLMs to generate a XRP price target for September 1 while incorporating momentum-based indicators.

The new machine learning model developed by Plonsky and his colleagues draws from a behavioral science framework known as BEAST (Best Estimate and Sampling Tools). This is a model based on ...

Deep eutectic solvents (DESs) are tunable green solvents whose complex physicochemical properties make experimental optimization challenging. While machine learning (ML) offers a powerful alternative ...

The conversion of CO2 into methanol through hydrogenation represents a promising approach for the utilization of CO2 and sustainable chemical production. However, current industrial methods rely on ...