This study proposes a novel weighted random forest multimodal fusion method that combines smart glasses and sEMG data for in‐vehicle gesture interaction. It realizes stable performance in dim, occluded, and other constrained scenarios, providing feasible solutions and laying a foundation for universal human–machine interaction.
Wenbo Zhang +8 more
wiley +1 more source
Screening Signals of Reference-Defined Metabolic Syndrome Using HbA1c and LDL Cholesterol: An Explainable Machine Learning Study. [PDF]
Demir O.
europepmc +1 more source
Interpretable Short‐Term Electric Load Forecasting
A temporal fusion transformer is implemented to generate day‐ahead forecasts of the hourly electrical load of a departmentbuilding at an Italian university. A forecasting performance improvement of more than 25% compared with established benchmark models and a provision of inherent robust interpretability insights reveal the potential of this model for
Alessandro Nicola +6 more
wiley +1 more source
Benchmarking Open-Source Pathology Foundation Models for Breast Cancer Biomarker Prediction from H&E Whole-Slide Images. [PDF]
Atiya S +9 more
europepmc +1 more source
Redefining Regulatory Proof: The End of the Two-Trial Paradigm. [PDF]
Lega JC +7 more
europepmc +1 more source
A Smart Data Hub to integrate subsurface properties into model-based decision-support tools. [PDF]
Chen Q +3 more
europepmc +1 more source
An open-source, configurable machine learning pipeline for predicting blood culture outcomes from routine haematology parameters. [PDF]
McFadden BR, Inglis TJJ, Reynolds M.
europepmc +1 more source
First Cophylogenetic Reconstruction of Hemipteran Insect-Phytoplasma Associations Reveals Eco-Evolutionary Dynamics. [PDF]
Trivellone V, Dietrich CH.
europepmc +1 more source
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