Tag: deep learning

A new study in PLOS Climate shows that simple deep learning models, especially the LSTM architecture, outperform the physics-based WRF ...

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 ...

Researchers at Southeast University have developed a deep learning framework that automatically detects and quantifies surface damage in masonry heritage ...

Chinese researchers have developed FAELSTM, a dual-attention deep learning framework that outperforms existing models in forecasting agricultural drought by filtering ...

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

Researchers at Wuhan University have developed YOLO-CSM, an enhanced YOLOv11n-based AI framework that detects microplastics with 92.06% mAP50 accuracy at ...

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 Saudi Arabia have developed a GNN-GRU-MLP deep learning framework that fuses multi-sensor marine time-series data to classify coastal ...