Intelligent grading of sugarcane leaf disease severity by integrating physiological traits with the SSA-XGBoost algorithm. [PDF]
Front Plant SciWang X +7 more
europepmc +1 more source
Improvement of APACHE II score system for disease severity based on XGBoost algorithm. [PDF]
BMC Med Inform Decis Mak, 2021 Luo Y, Wang Z, Wang C.
europepmc +1 more source
Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions
Civil Engineering Design, Volume 7, Issue 1, Page 23-35, March 2025.Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley +1 more source
Correction: Intelligent grading of sugarcane leaf disease severity by integrating physiological traits with the SSA-XGBoost algorithm. [PDF]
Front Plant SciWang X +7 more
europepmc +1 more source
Hub Genes Identification, Small Molecule Compounds Prediction for Atrial Fibrillation and Diagnostic Model Construction Based on XGBoost Algorithm. [PDF]
Front Cardiovasc Med, 2022 Yang L, Chen Y, Huang W.
europepmc +1 more source
Carbon Energy, EarlyView.Incorporating AI to optimize solution, process, and environment enables efficient prediction of structural properties and performance, allowing tailoring of GDL, CL, and PEM fabrication to guide PEMFC toward 9.0 kW L‒1 by 2040. ABSTRACT The performance and commercial viability of proton exchange membrane fuel cells (PEMFCs) are constrained by key ...
Shangfeng Jiang +11 more
wiley +1 more source
Enhancing body fat prediction with WGAN-GP data augmentation and XGBoost algorithm. [PDF]
Sci ProgWang X, Chang S.
europepmc +1 more source
Construction of Prediction Model of Deep Vein Thrombosis Risk after Total Knee Arthroplasty Based on XGBoost Algorithm. [PDF]
Comput Math Methods Med, 2022 Chen Y, Jiang Y.
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The Canadian Journal of Chemical Engineering, EarlyView.This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin +2 more
wiley +1 more source