Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
Researchers from the High Energy Nuclear Physics Laboratory at the RIKEN Pioneering Research Institute (PRI) in Japan and ...
The fate of Warner Bros. Discovery is no longer a regulatory matter. It is a medieval tournament, in which the king invites ...
A groundbreaking study published in Soil Ecology Letters unveils a novel deep learning method to rapidly and accurately identify soil-dwelling ...
The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...
Abstract: This paper centers on the research of the artwork recognition and classification algorithm based on computer vision. During the research process, first, a vast image dataset of artworks ...
A research team has now developed an intelligent, non-destructive method that integrates hyperspectral imaging (HSI) with a ...
The company said that the protection applies in Europe and covers a system for detecting hazards on and near the tracks ahead ...
Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision programs.
(CNN) — The biggest event in New Zealand on Thursday may have been the opening of a furniture store. Eager shoppers counted down “3… 2…1” and waved Swedish ...
Nicole Charky-Chami is a senior editor based in Los Angeles, writing and producing breaking news. She teaches journalism courses for UCLA Extension and previously taught at Loyola Marymount University ...