Results 111 to 120 of about 16,703 (255)
LightGBM robust optimization algorithm based on topological data analysis
To enhance the robustness of the Light Gradient Boosting Machine (LightGBM) algorithm for image classification, a topological data analysis (TDA)-based robustness optimization algorithm for LightGBM, TDA-LightGBM, is proposed to address the interference ...
Qin, Guangjun +4 more
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Enhancing Fraud Detection in Financial Transactions using LightGBM and Random Forest
Journal of Informatics and Web EngineeringIn recent years, the frequency and complexity of financial fraud have been rising and have become an urgent challenge for the global financial system. Traditional rule-based detection methods struggle to cope with new types of fraud, especially in terms ...
Wan-Ping Khor +5 more
doaj +1 more source
Predicting Antibiotic Resistance in ICUs Patients by Applying Machine Learning in Vietnam
Infection and Drug Resistance, 2023 Viet Tran Quoc,1 Dung Nguyen Thi Ngoc,2,3 Trung Nguyen Hoang,4 Hoa Vu Thi,4 Minh Tong Duc,4 Thanh Do Pham Nguyet,2 Thanh Nguyen Van,5 Diep Ho Ngoc,2 Giang Vu Son,6 Thanh Bui Duc7 1Intensive Care Unit, Military Hospital 175, Ho Chi Minh City, Vietnam ...
Tran Quoc V +9 more
doaj
Data-Driven LightGBM Controller for Robotic Manipulator
IEEE AccessThis paper introduces a data-driven approach employing the Light Gradient Boosting Machine (LightGBM) algorithm as a controller for robotic manipulators. By harnessing data-driven techniques and machine learning, the method captures the intricate dynamics, uncertainties, and nonlinearities inherent in robotic manipulators, including variations in ...
openaire +2 more sources
GenoEye: A machine learning‐based framework for the prediction of intermediate eye color phenotypes
Journal of Forensic Sciences, EarlyView.Abstract Forensic DNA phenotyping (FDP) enables the prediction of externally visible characteristics from genetic data, providing valuable investigative leads. While current approaches achieve high accuracy for blue and brown eye color, the prediction of intermediate phenotypes such as green and hazel remains challenging, particularly in Southern ...
Davide Dalfovo +6 more
wiley +1 more source
Asia-Pacific Journal of Financial Studies, EarlyView.Abstract This study develops an explainable machine learning model to predict cryptocurrency delistings using Binance data. It combines quantitative indicators (price, volume) with qualitative data from real‐time news and Reddit. Latent Dirichlet Allocation (LDA) is used to extract topic trends and community reactions, which are transformed into time ...
Sungju Yang, Hunyeong Kwon
wiley +1 more source
A Machine Learning Method for Maximum Temperature Bias Correction in Complex Terrain
Gaoyuan qixiangTo enhance the prediction accuracy of the 2-meter maximum temperature in complex terrain areas， this study developed a gradient modeling approach based on the LightGBM （Light Gradient Boosting Machine， LGB） algorithm， applied to the Sichuan Basin and its
Qiuxue ZHOU +3 more
doaj +1 more source
A Unified Machine Learning Model for Relapse Prediction in Clinical Stage I Testicular Cancer
Andrology, EarlyView.ABSTRACT Background Approximately one‐fourth of patients with clinical stage I testicular cancer relapse. For decades, risk stratification has been based on different tumor characteristics for seminomas and non‐seminomas. Previous studies primarily used Cox proportional‐hazards models and included only a limited number of variables.
Thomas Wagner +7 more
wiley +1 more source
Klasifikasi Berita Hoaks Indonesia Menggunakan Algoritma LightGBM [PDF]
Berita hoaks merupakan ancaman serius terhadap demokrasi, stabilitas sosial, dan integritas politik di Indonesia, terutama dalam konteks pemilu dan isu-isu politik lainnya.
Dzaky Muhammad, Fadhil
core
Diabetes is a condition caused by an imbalance between the need for insulin in the body and insufficient insulin production by the pancreas, causing an increase in blood sugar concentration.
Chandranegara, Didih Rizki +3 more
core +1 more source