The core idea of LCQHNN is to center on quantum feature amplification (Quantum Feature Amplification) while combining a classical stability optimization strategy, establishing an efficient information ...
An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
The integration of artificial intelligence (AI) with imaging has emerged as a transformative force in the field of oral oncology. Oral cancer remains a ...
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
If you’ve ever felt frustrated by Spotify‘s algorithm recommending songs that don’t match your taste, there’s some good news. The streaming giant is finally giving you a way to take control of its ...
Introduction: Optimizing fracturing parameters under multi-factor, complex conditions remains challenging in low-permeability reservoirs. Methods: We extract stage-aware construction-curve features, ...
Please provide your email address to receive an email when new articles are posted on . Familial hypercholesterolemia is underdiagnosed and undertreated. A novel machine learning algorithm identified ...
Abstract: In modern healthcare, predicting diseases and identifying their underlying causes are crucial areas of study. This paper proposes a novel feature selection method based on entropy scores and ...
Abstract: This paper presents feature extraction, feature selection and machine learning-based classification techniques for pollen recognition from images. The number of images is small compared both ...
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