Tag: deep learning

Researchers have built an interpretable 2.5D deep learning model that fuses contrast-enhanced CT features with clinical variables to reliably distinguish ...

Researchers in Hangzhou have developed MGCRN, a graph-based recurrent neural network that maintains high forecasting accuracy on spatio-temporal data even ...

A new 3D convolutional neural network called COV-DSNet stages COVID-19 patients as progressing or remitting from chest CT scans and ...

Researchers at Linyi University have combined wavelet decomposition with denoising diffusion models to forecast urban traffic flow more accurately across ...

A new Machine Learning study extends the theory of adversarial training beyond Lipschitz continuity, deriving generalization and optimization guarantees under ...

Researchers at Fuzhou University have developed RCGELM-AE, a graph embedding model that trains in closed form without gradient descent while ...

Researchers in China have developed WEM-Mamba, a wavelet-enhanced state space model that classifies rotator cuff tears from plain shoulder X-rays ...

Researchers have developed a federated deep learning framework that detects financial fraud across banks with high accuracy while keeping all ...

A 2024 study claiming high-accuracy deep learning detection of ovarian cancer was retracted after its ultrasound dataset was found to ...

A new review argues that transmitting meaning instead of raw bits could keep future wireless networks reliable even in extreme ...

Researchers in Kerala combined DinoV3, EVA-02, and MaxViT vision transformers into a boosted, calibrated voting ensemble that detects six laryngeal ...

Researchers at Tsinghua University have developed a Series Saliency module guided by large language models that improves the accuracy and ...

Researchers at the University of Malta and the University of Pittsburgh trained a modified U-Net on 95,000 synthetic microscopy images ...

A comparative study of 104 liver cancer patients shows that geometric, perfusion-based, and deep learning models each excel at different ...

Researchers report that a data-efficient vision transformer classified lung cancer histopathology images with 98.64 percent accuracy and near-perfect AUC while ...

Brazilian researchers used a YOLO-based deep learning model to quantify internal insect injury in sugarcane stalks, showing that continuous injury ...

Researchers have developed a transformer-based framework with local-global attention that identifies writers from scanned handwriting without reading the text, achieving ...

Researchers have built an explainable hybrid deep learning framework that predicts India's Air Quality Index with unprecedented accuracy while tolerating ...

A South Korean team has combined U-Net segmentation, hyperbolic mathematical modeling, and Fast R-CNN classification to automate suprahyoid muscle ultrasound ...

Researchers in India have developed CAT-Net, a hybrid deep learning model combining convolutional networks, coordinate attention, and Transformer encoders to ...