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1-10 of 97 results for light gradient boosting model

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Select article: Light gradient-boosting machine model provides biologically realistic predictions of southern pine wood extractives content using near infrared spectroscopy hyperspectral imaging compared to artificial neural network and partial least squares regression models

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Research article

First published 2025-8

Light gradient-boosting machine model provides biologically realistic predictions of southern pine wood extractives content using near infrared spectroscopy hyperspectral imaging compared to artificial neural network and partial least squares regression models

Sameen Raut, Joseph Dahlen, Thomas L. Eberhardt [...]

Journal of Near Infrared Spectroscopy

Select article: Explainable machine learning for early diagnosis of esophageal cancer: A feature-enriched Light Gradient Boosting Machine framework with Shapley Additive Explanations and Local Interpretable Model-Agnostic Explanations interpretations

Open access

Research article

First published 2026-1

Explainable machine learning for early diagnosis of esophageal cancer: A feature-enriched Light Gradient Boosting Machine framework with Shapley Additive Explanations and Local Interpretable Model-Agnostic Explanations interpretations

Adib Md. Ridwan, Khandaker Mohammad Mohi Uddin

Journal of International Medical Research

Select article: A comparative performance of machine learning algorithm to predict electric vehicles energy consumption: A path towards sustainability

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Research article

First published 2022-12

A comparative performance of machine learning algorithm to predict electric vehicles energy consumption: A path towards sustainability

Irfan Ullah, Kai Liu, Toshiyuki Yamamoto [...]

Energy & Environment

Select article: Boosting machine learning algorithms for predicting the macroscopic material behavior of continuous fiber reinforced composite

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Research article

First published 2026-2

Boosting machine learning algorithms for predicting the macroscopic material behavior of continuous fiber reinforced composite

Aiman Tariq, Ayşe Polat, Babür Deliktaş

Journal of Reinforced Plastics and Composites

Select article: LIME-based ensemble machine for predicting performance status of patients with liver cancer

Open access

Research article

First published 2023

LIME-based ensemble machine for predicting performance status of patients with liver cancer

Hung Viet Nguyen, Haewon Byeon

DIGITAL HEALTH

Select article: Preoperative knee hyperextension is the most relevant predictor for ACL reconstruction objective failure: a machine learning analysis of 680 patients

Open access

Abstract

First published 2024-11

Preoperative knee hyperextension is the most relevant predictor for ACL reconstruction objective failure: a machine learning analysis of 680 patients

CP Helito, AGM Silva, JR Pecora [...]

Orthopaedic Journal of Sports Medicine

Select article: Developing a predictive model for septic shock risk in acute pancreatitis patients using interpretable machine learning algorithms

Open access

Research article

First published 2025

Developing a predictive model for septic shock risk in acute pancreatitis patients using interpretable machine learning algorithms

Binglin Song, Ping Liu, Kangrui Fu [...]

DIGITAL HEALTH

Select article: Prediction of local scour depth in bridge piers: Physical information and machine learning based modeling

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Research article

First published 2025-9

Prediction of local scour depth in bridge piers: Physical information and machine learning based modeling

Rui Wang, Yang Ming, Guixiu Feng [...]

Advances in Structural Engineering

Select article: Clinical machine learning predicting best stroke rehabilitation responders to exoskeletal robotic gait rehabilitation

Free access

Research article

First published 2024-06-28

Clinical machine learning predicting best stroke rehabilitation responders to exoskeletal robotic gait rehabilitation

Seonmi Park, Jongeun Choi, Yonghoon Kim [...]

NeuroRehabilitation

Select article: Rapid seismic performance assessment of existing building structures via field-measured features and ensemble machine learning

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Research article

First published 2026

Rapid seismic performance assessment of existing building structures via field-measured features and ensemble machine learning

Jiazeng Shan, Chenyu Huang, Cheng Ning Loong

Advances in Structural Engineering

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