Tag: deep learning

A Stowers Institute scientist will help lead a $28.6 million ARPA-H effort to generate billions of protein aggregation measurements and ...

A new deep learning framework called MedFusionNet combines diffusion-based synthetic MRI generation with a fusion of three neural architectures to ...

A hybrid deep learning framework combining two complementary LSTM models with Bayesian ensemble stacking predicts winter road surface temperature more ...

Researchers have developed a deep learning framework that recognizes liquid pipeline operating conditions and autonomously diagnoses the reliability of its ...

A two-center study trained a deep learning radiomics model on routine breast ultrasound images to predict sentinel lymph node metastasis ...

Researchers at Saudi Electronic University have developed XCardioPulmoNet, an explainable deep learning framework that classifies heart and lung sounds with ...

Researchers in Vietnam have developed WGPose-LL, a deep learning method that uses paired well-lit images to guide human pose estimation ...

Researchers in China have developed a Sparrow search algorithm-optimized attention-LSTM neural network that predicts step error in five-axis finishing machining ...

A new graph neural network framework called AlloPool distills molecular dynamics simulations into minimal, time-resolved interaction networks that reveal how ...

A new hybrid deep learning model tuned by a snake-inspired optimization algorithm achieves 98.13 percent accuracy in classifying sentiment from ...

A new lightweight deep learning framework called LCASP-MMANet achieves state-of-the-art sign language recognition accuracy while remaining efficient enough for real-world, ...

Researchers at Dalian University of Technology have developed PD-Dehaze, a progressive diffusion framework that restores haze-degraded photographs with stable coarse-to-fine ...

Researchers in Cairo have developed a hybrid CNN–BiLSTM deep learning model fed by IoT sensor data that forecasts urban traffic ...

Researchers in Algeria built a soft-voting ensemble of three convolutional neural networks that classifies breast cancer histopathology images with 97.12 ...

University of Bayreuth researchers used a deep learning model and wind tunnel experiments to show that irregular, larger tyre wear ...

A two-stage deep learning framework can automatically segment subpleural lung lesions on grayscale ultrasound and distinguish benign from malignant cases, ...

A new scoping review of 35 studies finds that artificial intelligence and digital technologies are transforming neonatal respiratory assessment through ...

Researchers at the University of Essex and British Telecom have built an AI video auditing system that combines fuzzy logic, ...

Researchers have adapted a generative diffusion model to downscale coarse global forecasts into 3 km regional predictions across China, outperforming ...

A new study finds that the YOLO12s deep learning model detects mitotic figures in whole-slide breast cancer images with F1-scores ...