Tag: Machine Learning

Researchers have built a reuse-aware, package-level fault prediction model for Java applications that pairs architectural metrics with SHAP and LIME ...

A scientometric analysis of 1,758 studies maps how artificial intelligence is being integrated with building information modeling across real estate ...

Researchers at the University of Calabria have developed RLAX, a reinforcement learning framework that identifies compact, interpretable feature subspaces explaining ...

By merging bulk and single-cell RNA sequencing with machine learning and lab experiments, researchers have identified smooth muscle cells as ...

A new convolutional architecture called MRTFNet combines multi-resolution temporal embeddings with frequency-domain modeling to outperform Transformer-based models on most long-term ...

Researchers in Switzerland have developed an uncertainty-weighted neural network that incorporates standardized measurement uncertainty into both training and evaluation, improving ...

A multi-omics study identifies the mitochondrial pyruvate carrier gene MPC2 as a causal link between hypoxia, mitochondrial energy failure, and ...

Chinese researchers have built an interpretable FTIR spectroscopy and machine learning framework that reliably distinguishes raw, nine-steamed-and-nine-sun-dried, honey-processed, and wine-processed ...

Researchers at Sichuan University have developed a collaborative framework that combines multi-window concept drift detection with an evolving fuzzy system ...

Researchers in Turkey have built a leakage-aware, explainable AI framework that predicts quality risk in textile manufacturing, converts model explanations ...

A South Korean pilot study shows that a multimodal AI framework combining video features and wearable motion sensor data, trained ...

A new recommendation framework called BLMRec models the temporal validity of browsing, favoriting, and add-to-cart behaviors to improve purchase ranking ...

A new hybrid framework combining a Variational Autoencoder with Proximal Policy Optimization reinforcement learning generates melodies with measurably improved tonal ...

An integrative study links the tire-derived pollutants 6PPD and 6PPD-quinone to molecular signatures and increased susceptibility of atrial fibrillation through ...

A machine learning analysis of over ten million English adults shows the top one percent of patients by cost account ...

Researchers in Zhengzhou have built a graph neural network that encodes the measured noise of superconducting quantum processors to correct ...

A multimodal deep learning model that combines panoramic dental X-rays with structured patient metadata significantly outperforms image-only or metadata-only approaches ...

A decade-long analysis of nearly 5,000 Australian borrowers finds that local financial crime rates, income and housing costs predict personal ...

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 ...