New AI Model Catches Tiny Document Forgeries by Fusing Seven Image Domains
Researchers have developed an AI framework that fuses seven transformation domains of a document image with attention mechanisms and fine-grained ...
Researchers have developed an AI framework that fuses seven transformation domains of a document image with attention mechanisms and fine-grained ...
Researchers in China have developed a noise-resistant deep neural network that monitors the oil temperature of marine thrust bearings from ...
Researchers in China have developed a graph-based deep reinforcement learning system that learns to schedule single-armed cluster tools processing multiple ...
Researchers in China have developed a content-guided attention network that restores color and detail in underwater images through efficient fusion ...
Researchers in South Dakota combined drone multispectral imagery with an attention-enhanced deep learning model to estimate wheat tiller density with ...
Researchers in Shanghai have developed DNMMA, a framework that cleans noise from both text and images in social media posts ...
Researchers have developed MDG-Net, a retinal vessel segmentation network that abandons traditional skip connections in favor of a multilevel decoder ...
Researchers in China have developed a graph neural network algorithm that models item, category and author signals from short-term viewing ...
A new shapelet-based soft contrastive learning framework called SCLS improves multivariate time series clustering by avoiding noisy data augmentation and ...
Researchers in Beijing built a 27-sensor deep learning system that predicts and reconstructs three-dimensional temperature and humidity fields inside solar ...
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© 2025 Scienmag - Science Magazine