Results 221 to 230 of about 1,799,144 (293)

Importance of balanced datasets with feature selection and ensemble methods on heart disease classification using distinctive machine learning techniques: a comparative analysis. [PDF]

Sci Rep
Ara J, Bhuiyan H, Roza II, Nahin ASM.
europepmc   +1 more source

Workflow for Design of Experiments‐Based Modeling of Species Transport and Growth Kinetics in GaN Hydride Vapor Phase Epitaxy

Advanced Engineering Materials, EarlyView.
A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič, G. Lukin, H. Torkashvand, A. Kerschbaum, M. Müller, S. Besendörfer, J. Heitmann, J. Friedrich   +7 more
wiley   +1 more source

A CT-based radiomics model for preoperative risk stratification of gastrointestinal stromal tumors. [PDF]

Front Oncol
Wan T, Song Y, Wang X, Huang P, Wang Z, Fan B, Dong W.   +6 more
europepmc   +1 more source

Enhanced Strength and Corrosion Resistance of Ti‐13Nb‐12Ta‐10Zr‐4Sn Alloy by Aging Treatment

Advanced Engineering Materials, EarlyView.
This work systematically investigates the effect of aging treatment on mechanical properties and corrosion behavior of vacuum arc‐melted Ti‐13Nb‐12Ta‐10Zr‐4Sn alloy. Owing to the increased α″ martensite, strength and corrosion resistance were significantly enhanced by aging treatment.
Yuhua Li, Rong Zhao, Qian Zhang, Haojie Wang, Yujing Liu, Lai‐Chang Zhang   +5 more
wiley   +1 more source

Correction: From traditional metabolic markers to ensemble learning: comparative application of machine learning models for predicting NAFLD risk in adolescents. [PDF]

Front Endocrinol (Lausanne)
Zhang C, Niu B, Wang R, Zhang L.
europepmc   +1 more source

Estimation and optimization of reinforcement parameters for composite material using a machine learning approach. [PDF]

Sci Rep
Dandekar YV, Rajput MS, Kumar RS, Pandey V, Shinde JR, Paliwal S.   +5 more
europepmc   +1 more source

Overview in Machine-Learning-Assisted Sensing Techniques for Monitoring COVID-19. [PDF]

Micromachines (Basel)
Feng Y, La M.
europepmc   +1 more source

Predicting unconfined compressive strength of geopolymer-stabilized clays using a sector fruit fly-based extreme learning machine. [PDF]

Sci Rep
Abdellatief M, Mortagi M.
europepmc   +1 more source

Development and Validation of a Predictive Model for Surgical Site Infection in Open Hand Injuries. [PDF]

Infect Drug Resist
Nie X, Wang G, Ba Y, Zhao H, Chen Y, Wang W, Wang J, Lu T.   +7 more
europepmc   +1 more source

An integrated physics-guided machine learning approach for predicting asphalt concrete fracture parameters. [PDF]

Sci Rep
Elahi M, Khan R, Mabood T, Khan MS, Ahmed A, Ahmad M, Tóth Z.   +6 more
europepmc   +1 more source