Results 211 to 220 of about 883,011 (303)

Anisotropic Surface Microrollers for Endovascular Navigation: A Computational Analysis with a Case Study in Hepatic Perfusion

Advanced Theory and Simulations, EarlyView.
Computational fluid dynamics analyses assess the upstream locomotion performance of anisotropic microrollers with varying height‐to‐width ratios. Observing their successful upstream locomotion in veins, their performance in hepatic circulation is investigated for treating primary liver cancer.
Burak Arslan, Ugur Bozuyuk, Kıvanç Görgülü, Erdost Yildiz, Hakancan Ozturk, Lucia Liotta, Volker Heinemann, Hana Algül, Metin Sitti   +8 more
wiley   +1 more source

Ensembles of decision trees and gradient-based learning for employee turnover rate prediction. [PDF]

PeerJ Comput Sci
Zhang C, Han W.
europepmc   +1 more source

New Classification Method for Independent Data Sources Using Pawlak Conflict Model and Decision Trees. [PDF]

Entropy (Basel), 2022
Przybyła-Kasperek M, Kusztal K.
europepmc   +1 more source

Accurate and Efficient Behavioral Modeling of GaN HEMTs Using An Optimized Light Gradient Boosting Machine

Advanced Theory and Simulations, EarlyView.
Machine Learning (ML) and optimization have permeated almost every aspect of engineering applications. Recent years have seen great traction toward ML‐based GaN HEMT modelling. However, ML‐based GaN HEMT models are mostly developed using variants of Artificial Neural Network (ANN).
Saddam Husain, Mohammad Hashmi, Fadhel M. Ghannouchi   +2 more
wiley   +1 more source

A Novel Ensemble Framework for Comprehensive Early-Stage Colorectal Cancer Diagnosis, Prognosis, and Treatment: Integration of Gastroenterology-Specific Transformer Language Models and Multiple Decision Trees. [PDF]

J Clin Med
Simsek C, Ucdal M, Yalcin S, Karakoc D.
europepmc   +1 more source

Efficient algorithms for constructing decision trees with constraints [PDF]

, 2000
Minos Garofalakis, Dong-Joon Hyun, Rajeev Rastogi, Kyuseok Shim   +3 more
openalex   +1 more source

Predicting Fiber Length Characteristics of Recycled Cotton and Cellulose Fiber Blends Using Machine Learning Models

Advanced Theory and Simulations, EarlyView.
This study explores machine learning‐driven prediction of fiber length characteristics in sustainable yarn blends made from recycled cotton and Lyocell. By analyzing empirical data through models like Random Forest and Gradient Boosting, and interpreting results with SHAP, key fiber length features from the Staple Diagram and Fibrogram are identified ...
Tuser Tirtha Biswas, Michael Will, Nawar Kadi   +2 more
wiley   +1 more source

Correction: On prediction of aided behavioural measures using speech auditory brainstem responses and decision trees. [PDF]

PLoS One
PLOS ONE Staff.
europepmc   +1 more source

Refinement of fuzzy decision tree

, 1997
Shigeaki Sakurai
openalex   +2 more sources

Assessment and Comparative Study of Free and Commercial Numerical Software Packages for Lithium‐Ion Battery Modeling

Advanced Theory and Simulations, EarlyView.
This study evaluates the simulation capabilities of lithium‐ion battery (LIB) electrochemical simulation software packages. The benchmark simulation results reveal the impacts of parameter sensitivity to solver performance and stability. The guidelines to troubleshooting common solver failures at high current rates lowers the steep learning curve to ...
Kenneth C. Nwanoro, Michael P. Mercer, Harry E. Hoster   +2 more
wiley   +1 more source