Tag: Machine Learning

Researchers built an occlusion-aware machine learning framework that predicts annual building-integrated photovoltaic facade yield across 62 cities and four climate ...

A new deep learning architecture called Hessian Interatomic Potentials predicts the full molecular Hessian directly, delivering one to two orders ...

A systematic review of machine-learning models for diabetic-foot osteomyelitis finds strikingly high reported accuracy but warns that almost no models ...

Researchers have unveiled SENNA, a framework that combines disentangled semantic representations with large language models to generate synthetic tabular data ...

New experiments show that low-quality activity labels devastate process discovery and next-activity prediction while leaving conformance checking and time predictions ...

Chinese researchers developed an interpretable logistic regression model that identifies metabolic dysfunction-associated steatotic liver disease in middle-aged and older adults ...

Researchers show that temporally correlated input noise, not model capacity, drives unstable long-horizon forecasts, and introduce NoDE, a lightweight embedding ...

Researchers have shown that a machine learning model trained on casting data, guided by chromium and nickel equivalents, can accurately ...

A study of fifteen local European plum varieties from Türkiye's Black Sea region documents wide variation in fruit traits and ...

Researchers have enhanced a rime-ice-inspired optimization algorithm with four adaptive strategies, achieving superior benchmark results and 95.52 percent accuracy in ...

Researchers have embedded sensors directly into toothbrush bristles and paired them with a dual-stream AI system that recognizes brushing patterns ...

Researchers have developed an unsupervised domain adaptation method that lets dialogue summarization models learn from annotated news data and bridge ...

Researchers have built a hybrid machine learning framework that predicts how graphene-enhanced grease heats up, wears down, and transitions between ...

A meta-analysis of 40 studies covering 12,769 patients shows that radiomics-based models combining CT image features with clinical data can ...

A neuronavigation-guided study shows that continuous-time random walk diffusion MRI metrics closely track pathological heterogeneity and immune cell proportions in ...

A prospective Chinese cohort study links long-term exposure to mixtures of common air pollutants with the new onset of combined ...

Researchers have combined non-negative matrix factorization with multi-objective particle swarm optimization to create a community detection algorithm that achieves perfect ...

A new study finds that AI systems and large language models achieve at best 25 percent accuracy in diagnosing psoriasis ...

Researchers have built a machine learning framework with an interactive interface that estimates full unsaturated soil hydraulic conductivity curves in ...

Researchers in India have developed a hybrid security framework that combines swarm-optimized neural network intrusion detection with blockchain-based trust management ...