Researchers in Saudi Arabia have developed a GNN-GRU-MLP deep learning framework that fuses multi-sensor marine time-series data to classify coastal ...
Researchers in Cairo have developed a hybrid CNN–BiLSTM deep learning model fed by IoT sensor data that forecasts urban traffic ...
A new theoretical framework argues that many universal statistical laws of genomes, texts, cities, and software may arise from simple ...
A machine learning model combining serum thermal fingerprints from differential scanning calorimetry with clinical variables achieved an AUC of 0.85 ...
An explainable generative deep learning framework called SYNERGY-VAE has uncovered three hidden population subgroups with distinct health signatures and depression ...
A machine-learning analysis of more than 900 snow penetration profiles in the Weddell Sea shows that Antarctic sea ice snowpacks ...
A new Perspective in Nature Reviews Psychology argues that merging the Hierarchical Taxonomy of Psychopathology with computational psychiatry could finally ...
A new scoping review of 35 studies finds that artificial intelligence and digital technologies are transforming neonatal respiratory assessment through ...
A new physics-constrained transfer learning framework lets AI retrieval algorithms trained on one weather satellite work accurately on another, improving ...
Researchers in cold-region China built explainable machine learning models that identify preschool children with insufficient sleep using routine activity, body-size, ...
Embark on a thrilling journey of discovery with Scienmag.com—your ultimate source for cutting-edge breakthroughs. Immerse yourself in a world where curiosity knows no limits and tomorrow’s possibilities become today’s reality!
