Results 111 to 120 of about 22,279 (217)

Optimizing LightGBM and XGBoost Algorithms for Estimating Compressive Strength in High-Performance Concrete [PDF]

Duygu Demirtürk, Ömer Mintemur, Abdussamet Arslan   +2 more
openalex   +1 more source

Loan Default Prediction Using Machine Learning Algorithms

Journal of Informatics and Web Engineering
Financial institutions constantly face at the risk of default by borrowers which can result in significant financial losses. It is essential to develop an appropriate predictive model for loan default to reduce these risks and minimise financial losses ...
Zhi Zheng Kang, Sin Yin Teh, Samuel Yong Guang Tan, Wei Chien Ng   +3 more
doaj   +1 more source

Bearing fault diagnosis method based on CNN-LightGBM [PDF]

, 2021
Xin Jia, Boping Xiao, Zhanjuan Zhao, Lin Ma, Naichao Wang   +4 more
openalex   +1 more source

Comparative Analysis of LightGBM and Random Forest for Daily Bitcoin Closing Price Prediction with Ensemble Approach

Journal of Applied Informatics and Computing
This study performs a comparative analysis of the LightGBM and Random Forest algorithms in predicting daily Bitcoin closing prices, with an exploration of an Ensemble approach for potential improvements in accuracy.
Dionisius Nusaca Redegnosis Nolejanduma, Majid Rahardi   +1 more
doaj   +1 more source

Interpretable Ensemble-Based Intrusion Detection Using Feature Selection on the ToN_IoT Dataset

JISA (Jurnal Informatika dan Sains)
With With the rapid growth of IoT, securing interconnected devices against cyber threats has become critical. IoT datasets such as ToN-IoT are often high-dimensional, which poses challenges for efficient and accurate intrusion detection.
Vaman Shakir Sulaiman, Firas Mahmood Mustafa   +1 more
doaj   +1 more source

Predicting Asthma Exacerbation Risk in the Adult South Korean Population Using Integrated Health Data and Machine Learning Models

Journal of Asthma and Allergy
Joon Young Choi,1 Chin Kook Rhee2 1Department of Internal Medicine, Incheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea; 2Department of Internal Medicine, Seoul St.
Choi JY, Rhee CK
doaj  

Review of: "LightGBM and XGBoost Learning Method for Postoperative Critical Illness Key Indicators Analysis" [PDF]

, 2023
T. Senthil Kumar
openalex   +1 more source

Stacking Ensemble Learning : Combining XGBoost, LightGBM, CatBoost, and AdaBoost with Random Forest Meta Model [PDF]

SINDHU SINDHU
openalex   +1 more source

A Two-Stage Multistep-Ahead Electricity Load ForecastingScheme Based on LightGBM and Attention-BiLSTM [PDF]

, 2021
Jinwoong Park, Eenjun Hwang
openalex   +1 more source

Application of LSTM-LightGBM Nonlinear Combined Model to Power Load Forecasting

, 2022
You Zhou, Qing Lin, Di Xiao
openalex   +1 more source