A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Abstract: This research presents a novel approach to detecting epileptic seizures leveraging the strengths of Machine Learning (ML) and Deep Learning (DL) algorithms in EEG signals. Epileptic seizures ...
The University of North Texas (UNT) is stepping into the future with a new undergraduate major in Artificial Intelligence (AI), ...
The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...
In the Chicago Urban Heritage Project, College students are turning century-old insurance atlases into interactive digital ...
Abstract: As for automatic machine learning (AutoML), which can simplify the model design and adjustment process, continues to develop with the evolution of machine learning technology, and has become ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
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