Results 211 to 220 of about 72,345 (262)
Machine learning-based early prediction of multiple chronic disease risk in aging Chinese population: A longitudinal analysis using CHARLS data. [PDF]
Wang Y.
europepmc +1 more source
Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly +2 more
wiley +1 more source
An XGBoost-Based Multicenter Model for Predicting HBV-Related Hepatocellular Carcinoma: Development and Validation. [PDF]
Lin Y +7 more
europepmc +1 more source
With the advantages of high‐resolution imaging, efficient image acquisition, intraoperative real‐time detection, and radiation‐free and noninvasive characteristics, optical coherence tomography (OCT) provides accurate diagnosis and effective intraoperative guidance for the minimally invasive diagnosis and treatment of central nervous system (CNS ...
Jiuhong Li +10 more
wiley +1 more source
Hepatic Steatosis Severity Prediction in Nonobese Individuals: Machine Learning Model Development and Validation. [PDF]
Zhu Y +9 more
europepmc +1 more source
ESG Performance and Credit Risk: Evidence From Chinese Manufacturing Companies
ABSTRACT This study investigates the effect of corporate environmental, social, and governance (ESG) performance on credit risk using a sample of manufacturing firms listed on China's Shanghai and Shenzhen A‐share markets from 2009 to 2021. Employing fixed effects, the generalised method of moments, and instrumental variable models, we find that ...
Yanan Wang +4 more
wiley +1 more source
Individual-Tree DBH Estimation from Airborne LiDAR Data Using MSFS-XGBoost. [PDF]
Li P, Jia Y.
europepmc +1 more source
Nanopore direct RNA sequencing and the epitranscriptome: Advances in mapping native RNA landscapes
Nanopore direct RNA sequencing advances transcriptomics by capturing full‐length transcripts and multiple RNA modifications; this review details its principles, workflows, tools, applications, challenges, and future research potential. Abstract Nanopore direct RNA sequencing (DRS) has transformed transcriptomics by enabling single‐molecule, long‐read ...
Tianyuan Zhang +27 more
wiley +1 more source

