New AI model decodes brain signals captured noninvasively via EEG opens the possibility of developing future neuroprosthetics ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
Brookhaven National Laboratory have developed a novel artificial intelligence (AI)-based method to dramatically tame the ...
The evolution of AI-powered vehicle inspection has moved rapidly from experimental research to an essential pillar of the modern automotive ecosystem. Historically, vehicle checks were manual and ...
Abstract: Imbalanced image classification faces critical challenges in balancing the quality and diversity of synthetic minority samples. This article proposes the improved estimation distribution ...
Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...
Trained on data from NASA's exoplanet-hunting missions, the open-source ExoMiner++ deep learning model uses an advanced ...
CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...
Background and Aims: Obstructive coronary artery disease (CAD) can lead to myocardial infarction or cardiac death. The accuracy of conventional risk prediction models is limited, leading to excessive ...
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