A hybrid systematic review and experimental benchmark of five deep learning architectures reveals which neural networks can realistically detect and...

A new study shows that linking skills, occupations and qualifications in job advertisements requires construct-specific matching strategies, yielding significant accuracy...

A hybrid automated machine learning system developed with the Archaeological Park of Pompeii classifies damaged roofs from drone imagery with...

Researchers developed a 20-item scale for judging biological meaning in health-related images and showed that multimodal AI models can apply...

Researchers have developed a hierarchical temporal graph network that predicts student academic outcomes with high accuracy while using gradient-based attribution...

Researchers have unveiled a generative adversarial network that rebuilds faces obscured by up to 70 percent occlusion while preserving the...

A deep learning pipeline combining YOLOv5 detection, skeleton extraction and neural network classification can recognize falls, collisions and shelf climbing...

A benchmark of deep learning and tree-based models shows that one-month drought early warning is achievable in Morocco's Atlas mountains,...

Japanese researchers have developed and internally validated prediction models that estimate, at the moment of Medical Emergency Team activation, which...

A new multimodal deep learning framework fuses Log-Mel spectrograms and BERT embeddings through self-attention to automatically score spoken English fluency...