Tag: Machine learning

A machine learning radiomics approach that maps internal tumor habitats on venous-phase CT scans accurately distinguishes retroperitoneal dedifferentiated liposarcoma from ...

A landmark special issue of the Journal of Intelligent Information Systems argues that recommender systems must be redesigned to actively ...

A new double-layer consensus framework combines Pythagorean fuzzy sets, behavioral economics, social network analysis, and graph attention networks to help ...

A hybrid transformer-LSTM model detects sarcasm in Punjabi social media text with 94.29 percent accuracy, revealing hidden customer dissatisfaction for ...

Researchers in India have developed a context-aware matrix completion algorithm that rebuilds missing sensor data in cognitive IoT networks with ...

A new hierarchical topic model reveals that regional rock type, not geological age, most strongly shapes mineral assemblages across more ...

An optimized gradient boosting model predicts biochar cation exchange capacity with high accuracy from biomass composition and pyrolysis conditions, validated ...

A two-decade bibliometric analysis of autoimmune hepatitis literature finds a marked surge after 2020 and a decisive shift toward microbiome, ...

Researchers constructed a fourteen-gene triaptosis-related prognostic model for lung adenocarcinoma using transcriptomic analysis, machine learning, single-cell sequencing, and experimental validation.

Researchers have combined biomarker-based biological indexing with machine learning to create reliable, transferable ecological risk zoning maps for soils contaminated ...