Results 41 to 50 of about 447 (169)

Default Prediction of Internet Finance Users Based on Imbalance-XGBoost [PDF]

, 2023
Fast and accurate identification of financial fraud is a challenge in Internet finance. Based on the characteristics of imbalanced distribution of Internet financial data, this paper integrates machine learning methods and Internet financial data to ...
Wenlong Lai
core   +2 more sources

Genetic and Multi-Omics Insights Into Monocyte Pantothenate-Mediated Protection in Acute Respiratory Distress Syndrome. [PDF]

J Cell Mol Med
ABSTRACT Acute respiratory distress syndrome (ARDS) is a severe condition with complex pathogenesis, and emerging evidence highlights the potential role of metabolic factors, though the exact mechanisms are not fully understood. In this study, we used Mendelian randomisation (MR) and multi‐omics approaches to investigate the causal relationship between
Wang Y, Sun H, Liang F, Qian Y, Wang Y, Wang M, Lin Y.   +6 more
europepmc   +2 more sources

Efficient seismic fragility analysis method utilizing ground motion clustering and probabilistic machine learning

, 2023
Machine learning (ML) techniques have been recently adopted in engineering practice to define the relationship between seismic intensity measure (IM) and structural damage measure (DM) based on a limited set of numerical simulations.
Feng D. -C., Parisi F., Wu G., Brunesi E., Ding J. -Y.   +4 more
core   +1 more source

Near-earth asteroids classification using NGBoost classifier

Material Science & Engineering International Journal
Near-Earth asteroids (NEAs) are celestial bodies that orbit within close to Earth, offering valuable insights into the early solar system's formation and posing potential hazards due to impact events. This work presents a comprehensive overview of NEAs, encompassing their historical significance, characteristics, impact hazards, and prospects.
Al Mahmud Al Mamun, Md Ashik Iqbal, Md Rasel Hossain, Mst Mahfuza Sharmin, Md Ziaul Haque   +4 more
openaire   +1 more source

Assessment of explainable tree-based ensemble algorithms for the enhancement of Copernicus digital elevation model in agricultural lands [PDF]

\ua9 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. There has been a rapid evolution of tree-based ensemble algorithms which have outperformed deep learning in several studies, thus emerging as a competitive ...
Mills J, Adeleke A, Bagheri H, Komar T, Wang S, Okolie C, Smit J, Maduako I   +7 more
core   +4 more sources

LIPOTHERM: A Calibration Framework for GDGT Paleothermometry Based on Machine Learning

Geochemistry, Geophysics, Geosystems, Volume 27, Issue 10, October 2026.
Abstract SST reconstruction from glycerol dialkyl glycerol tetraethers (GDGT) preserved in marine sediments is an important tool in quantitative paleoclimatology. These reconstructions require calibration frameworks that provide mapping between sediment GDGT data and temperature values.
Vikash Kumar, Manish Tiwari, Biswajit Roy   +2 more
wiley   +1 more source

Machine learning-based probabilistic predictions for Concrete Filled Steel Tube (CFST) column axial capacity [PDF]

This study presents a novel probabilistic machine learning (ML) approach using Natural Gradient Boosting (NGBoost) to predict the axial compressive capacity of Concrete Filled Steel Tube (CFST) columns.
Lai D., Contento A., Xue J., Wei J., Demartino C., Albanesi T., Briseghella B.   +6 more
core   +1 more source

Machine learning-based probabilistic predictions of shear resistance of welded studs in deck slab ribs transverse to beams

, 2023
Headed studs welded to steel beams and embedded within the concrete of deck slabs are vital components of modern composite floor systems, where safety and economy depend on the accurate predictions of the stud shear resistance.
Hicks, Stephen J., Degtyarev, Vitaliy V.
core   +1 more source

Boosting algorithms for projecting streamflow in the Lower Godavari Basin for different climate change scenarios

Water Science and Technology
The present study investigates the ability of five boosting algorithms, namely Adaptive Boosting (AdaBoost), Categorical Boosting (CatBoost), Light Gradient Boosting (LGBoost), Natural Gradient Boosting (NGBoost), and eXtreme Gradient Boosting (XGBoost ...
Bhavesh Rahul Mishra, Rishith Kumar Vogeti, Rahul Jauhari, K. Srinivasa Raju, D. Nagesh Kumar   +4 more
doaj   +1 more source

Analysis on Benefits and Costs of Machine Learning-Based Early Hospitalization Prediction

IEEE Access, 2022
Overcrowding in emergency departments (EDs) has long been a problem worldwide and has serious consequences for patient satisfaction and safety. Typically, overcrowding is caused by delays in the boarding time of ED patients waiting for inpatient beds. If
Eunbi Kim, Kap Su Han, Taesu Cheong, Sung Woo Lee, Joonyup Eun, Su Jin Kim   +5 more
doaj   +1 more source