A new evidence map of 126 studies shows artificial intelligence can accelerate PFAS toxicology and risk assessment, but only when...

Researchers have built a dual-agent deep reinforcement learning framework that classifies market strength using classic technical indicators and dynamically selects...

Researchers have combined a pretrained ResNet50 with a Convolutional Block Attention Module to detect grape leaf diseases with over 99...

Researchers have introduced RPGCN, a relation-preserving graph convolutional network that combats oversmoothing and relational dilution to outperform state-of-the-art baselines across...

Researchers in India have developed a deep learning framework called ASTILM that fuses fuzzy logic and CNN-LSTM networks to assess...

Researchers have shown that a compact two-stage time-delay neural network can reconstruct hidden internal strain in a vibrating structure from...

A new study of ensemble deep learning on medical image benchmarks shows that the most accurate models are rarely the...

A new deep residual framework that uses coot bird-inspired optimization to select feature representations achieves 97.9% recognition accuracy on the...

A new multi-instance learning model called Cohort-AI evaluates entire IVF embryo cohorts rather than individual embryos, dramatically improving the consistency...

A new hybrid recommender called Meta KG-NCF combines a frozen knowledge graph prior, neural collaborative filtering, and first-order meta-learning to...