Results 191 to 200 of about 360,197 (329)

Metabolomics and random forests in patients with complex congenital heart disease. [PDF]

Front Cardiovasc Med, 2022
Michel M, Laser KT, Dubowy KO, Scholl-Bürgi S, Michel E.   +4 more
europepmc   +1 more source

Ultra‐Improved Interfacial Strength Between Metallic Surface and Polyurethane via Cost‐Effective Anodizing Process

Advanced Materials Interfaces, EarlyView.
SAA significantly enhanced Al/PU bonding, increasing SLSS by up to 920% and fracture energy by 15 100% through optimized micro‐nano porous surfaces. RSM identified the optimal anodizing conditions, while ML confirmed sulfuric acid concentration and roughness as dominant predictors of strength.
Umut Bakhbergen, Sherif Araby, Zhandos Tauanov, Nursultan Turdakyn, Reza Montazami, Fethi Abbassi, Gulnur Kalimuldina   +6 more
wiley   +1 more source

Computation of a probabilistic uranium concentration map of Norway: A digital expert elicitation approach employing random forests and artificial neural networks. [PDF]

Heliyon, 2023
Paasche H, Wang Y, Chand Baranwal V, Brönner M.   +3 more
europepmc   +1 more source

Machine Learning-Based Classification of Hybrid BCI Signals using Mayfly-Optimized Multiclass Weighted Random Forest

, 2023
R. Shelishiyah, Deepa Beeta Thiyam, M. Jehosheba Margaret   +2 more
openalex   +2 more sources

AI‐Enhanced Gait Analysis Insole with Self‐Powered Triboelectric Sensors for Flatfoot Condition Detection

Advanced Materials Technologies, Volume 10, Issue 6, March 18, 2025.
The given research presents an innovative insole‐based device employing self‐powered triboelectric nanogenerators (TENG) for flatfoot detection. By integrating TENG tactile sensors within an insole, the device converts mechanical energy from foot movements to electrical signals analyzed via machine learning, achieving an 82% accuracy rate in flatfoot ...
Moldir Issabek, Sabyrzhan Oralkhan, Adeliya Anash, Nuriya Nurbergenova, Azat Balapan, Azamat Yeshmukhametov, Yeltay Rakhmanov, Gulnur Kalimuldina   +7 more
wiley   +1 more source

Predicting emotional responses in interactive art using Random Forests: a model grounded in enactive aesthetics. [PDF]

Front Psychol
Chen X, Ibrahim Z, Aziz AA.
europepmc   +1 more source

Effects of stopping criterion on the growth of trees in regression random forests. [PDF]

N Engl J Stat Data Sci, 2023
Arsham A, Rosenberg P, Little M.
europepmc   +1 more source

Spider Silk–Integrated Biomimetic Micropillars With Dual Adhesion for Improved Wound Hemostasis and Healing

Advanced Materials Technologies, EarlyView.
The patch mimics the dual physicochemical adhesion mechanisms of gecko toe micropillars and spider silk proteins, enabling strong interfacial bonding via partially cured micropillars. Its facile fabrication allows customization for precision medicine, while its motion responsiveness offers potential for real‐time wound monitoring.
Chengxin Luan, Meng Wei, Xinran Chen, Ni Gan, Bingbing Gao   +4 more
wiley   +1 more source

Variation analysis using random forests reveals domestication patterns and breeding trends in sugar beet. [PDF]

iScience
Sandell FL, Rupprecht C, Himmelbauer H, Dohm JC.   +3 more
europepmc   +1 more source

The voice of COVID-19: Breath and cough recording classification with temporal decision trees and random forests. [PDF]

Artif Intell Med, 2023
Manzella F, Pagliarini G, Sciavicco G, Stan IE.   +3 more
europepmc   +1 more source