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

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

A UK Biobank study of 95,559 adults used wrist accelerometers and a deep-learning algorithm to link real-world sleep stages and...

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

Using SHAP, ALE, and LIME explainable AI techniques on daily data from 2008 to 2025, researchers show that oil market...

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...

Researchers have developed a lightweight frequency-based AI detector that achieves state-of-the-art accuracy and real-time speed on cluttered traffic scenes, running...

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