Tag: Machine Learning

Researchers in Cairo have developed a hybrid CNN–BiLSTM deep learning model fed by IoT sensor data that forecasts urban traffic ...

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 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, ...

Researchers at Visva-Bharati University have introduced the AI-modulated Pólya urn, a stochastic framework that unifies reinforcement learning, risk-sensitive control and ...

High-throughput proteomics and machine learning revealed that cereblon-recruiting androgen receptor degraders inhibit mitochondrial complex I, and guided linker modifications that ...

Researchers at the Chinese Academy of Sciences have developed a factorized-gating mixture-of-experts framework that blends regime-specific turbulence specialists to deliver ...

Researchers at the Technical University of Munich combined physics-based digital shadows with neural-network bias correction, cutting wind turbine fatigue load ...

A two-phase study of over 2,500 Jordanian children finds that carefully calibrated simple regression models rival or beat machine-learning approaches ...

Researchers at Yazd University developed a binary version of the Puma Optimization Algorithm that achieved 91.53 percent classification accuracy and ...

Researchers combined mass spectrometry, machine learning and animal experiments to reveal how the traditional Chinese formula Bushen-Yizhi protects against Alzheimer's-like ...

Researchers in China have built an explainable AI framework that predicts student readiness for Industry 4.0 careers with 98.92 percent ...

Researchers have identified bacterial-viral pneumotypes in the airways of critically ill patients that predict hospital-acquired pneumonia, lung inflammation and mortality.

Researchers at Hefei University of Technology report a vision-based grasping pipeline combining improved object detection, MobileSAM segmentation, and grasp pose ...

A new diffusion-model-based tool called Influpaint encodes influenza seasons as spatiotemporal images and generates competitive, probabilistic forecasts of epidemic trajectories ...

Researchers in China built a prototypical network-based few-shot learning framework that reproduces expert consensus severity stratification in newly diagnosed Crohn's ...

Researchers used explainable machine learning to predict and interpret the compressive strength of sustainable SCM-based concrete, finding LightGBM the most ...

Researchers in Ecuador found that using wind speeds from upper atmospheric levels of the ERA5 reanalysis, rather than conventional near-ground ...