Drones Get Smarter: Graph Attention Networks Boost Real-Time Aerial Object Detection
Researchers have built a drone perception framework that pairs an enhanced YOLOv7 detector with graph attention network reasoning and spatial ...
Researchers have built a drone perception framework that pairs an enhanced YOLOv7 detector with graph attention network reasoning and spatial ...
Researchers in India have built a tri-backbone deep learning system with an intuitionistic fuzzy fusion module that classifies apple leaf ...
Chinese researchers have developed CGFM, an attention-guided fusion module that lets YOLOv8-based detectors intelligently combine visible-light and infrared satellite imagery, ...
A dual-branch deep learning framework that fuses local terrain characteristics with surrounding spatial context has achieved record accuracy in mapping ...
Researchers in China have developed a content-guided attention network that restores color and detail in underwater images through efficient fusion ...
A new shapelet-based soft contrastive learning framework called SCLS improves multivariate time series clustering by avoiding noisy data augmentation and ...
Researchers have developed S²DNet, a dynamic spectral–structural framework that adapts feature extraction and fusion to each scene, improving remote sensing ...
Researchers at Shenyang University of Technology have developed a distance-aware adaptive graph neural network that estimates 6D object poses from ...
A new machine learning method called PrePssmCas fuses protein language model embeddings with evolutionary PSSM features to classify CRISPR-Cas proteins ...
Researchers in China have unveiled SpecMamba-Net, a dual-branch Mamba-based AI that fuses frequency-domain texture cues with linear-complexity global state-space modeling ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine