Tag: deep learning

Researchers in Taiwan combined Temporal Convolutional Networks, Nested LSTMs, signal decomposition, and a mutation-enhanced optimizer to cut wind power forecast ...

Researchers have developed LMANet, a lightweight multiscale attention network that achieves high-accuracy skin-lesion segmentation with only 5.6 million parameters by ...

Researchers have developed an uncertainty-aware monocular vision framework that assigns full anisotropic covariance matrices to spacecraft keypoints, achieving top-tier pose ...

Researchers in India combined EfficientNet-B0 and a transformer encoder to classify Alzheimer's disease from multi-slice MRI scans, achieving 88 percent ...

Researchers have developed a Swin Transformer-based U-Net with a novel SECA cross-attention decoder that improves breast tumor segmentation accuracy across ...

A new computational framework called CellART unifies cell segmentation and cell-type annotation across high-resolution spatial transcriptomics platforms, revealing single-cell detail ...

Researchers in Iran have developed CNNHSIE, an image encryption algorithm that combines hyperchaotic systems with a VGG16 convolutional neural network ...

New research shows rhesus monkeys categorize facial expressions as context-dependent social signals shaped by the whole face and body, not ...

Researchers in South Korea have developed a progressive distillation framework called ASBQ that trains one-bit binary neural networks to match ...

A new multimodal AI framework called TriCCA-PPI fuses sequence, structure, and functional data through chained cross-attention to predict protein-protein interactions ...