Research shows AI-enhanced MRI body composition metrics can predict diabetes and heart disease risks, offering insights for ...
Hybrid Quantum-Classical Algorithm for an Integrated Feature Selection and Logistic Regression Model
Abstract: Feature selection is a pivotal step in machine learning, aimed at reducing feature dimensionality and improving model performance. Conventional feature selection methods, typically framed as ...
Abstract: This work studies learning-aided indoor fingerprint positioning (FP) for multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems, by exploiting their ...
Dubious data sets are being used to train artificial-intelligence models that are designed to predict people’s risk of stroke and diabetes, researchers report in a preprint 1 on medRxiv. Some of the ...
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