Abstract: Micro-Doppler signatures provide a unique way to characterize the motion of flying objects based on their radar reflections. In this study, we leverage a dataset developed by DIAT to ...
Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more ...
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Researchers at the University of Tuebingen, working with an international team, have developed an artificial intelligence that designs entirely new, sometimes unusual, experiments in quantum physics ...
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