Abstract: Imbalanced image classification faces critical challenges in balancing the quality and diversity of synthetic minority samples. This article proposes the improved estimation distribution ...
Geoinformatics has become a transformative field in Earth science and GIScience, fueled by rapid advancements in Earth observation, remote sensing, GIS ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.
Researchers from Washington and Puerto Rico found that an AI recycling system that pairs spectroscopy with deep learning ...
Deep learning techniques can enhance diagnosis of Meniere disease (MD) and severity grading, according to a study published ...
The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
You will be redirected to our submission process. Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...
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 ...
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