Exploitation of surrogate variables in random forests for unbiased analysis of mutual impact and importance of features. [PDF]
Voges LF, Jarren LC, Seifert S.
europepmc +1 more source
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Inference of Genetic Networks from Pseudo Time Series of Single-cell Gene Expression Data using Modified Random Forests. [PDF]
Kimura S +4 more
europepmc +1 more source
This study reveals a copper‐driven mechanism of COPD acute exacerbations mediated by the TNF‐α/ATP7A axis. TNF‐α suppresses the copper transporter ATP7A via competitive NF‐κB/CREB1/CBP signaling, resulting in intracellular copper accumulation, mitochondrial oxidative stress, and epithelial barrier disruption.
Xinru Xiao +7 more
wiley +1 more source
Application of Logistic Regression and Random Forests to Assess the Relevance of Chrononutrition Information for Prediction of Overweight in Adults: Evidence from the INRAN-SCAI 2005-2006 Italian Nutrition Survey. [PDF]
Bartoszek K, Almoosawi S, Palla L.
europepmc +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
All together now: Random Forests analysis reveals the joint impact of multiple statistical regularities on eye-movements during reading. [PDF]
Kimchi I, Siegelman N.
europepmc +1 more source
Our research unveiled a regulatory paradigm wherein TRIM25 orchestrates the ubiquitin‐mediated degradation of UGDH. UGDH modulates the protein stability of TJP1 by regulating O‐GlcNAcylation levels, effectively impeding the metastasis of ccRCC. Our insights elevate UGDH to a pivotal biomarker and tumor suppressor, marking the first demonstration that ...
Xiaolin Chen +13 more
wiley +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Artificial intelligence strategies based on random forests for detecting ischemia-reperfusion injury changes in kidney tissue during intravital imaging. [PDF]
Pantic I +5 more
europepmc +1 more source

