Suchergebnisse - "xgboost（extreme gradient boosting） algorithm"

Aircraft flight quality evaluation based on grey correlation analysis and XGBoost

Autoren: SUN Baosong SHI Zhiguo PAN Xinlong et al.

Quelle: Hangkong gongcheng jinzhan, Vol 16, Iss 4, Pp 74-81 (2025)

Schlagwörter: grey correlation analysis method, quality assessment model, xgboost（extreme gradient boosting） algorithm, machine learning, Motor vehicles. Aeronautics. Astronautics, TL1-4050

Dateibeschreibung: electronic resource

Relation: http://hkgcjz.cnjournals.com/hkgcjz/article/abstract/2024060; https://doaj.org/toc/1674-8190

Zugangs-URL: https://doaj.org/article/61892dc1cab14f76a6bc30ce6a687031

Protein structural domain-disease association prediction based on heterogeneous networks.

Autoren: Zhang, Jingpu Deng, Lianping Deng, Lei

Quelle: BMC Genomics; 4/10/2025, Vol. 26 Issue 1, p1-14, 14p

Schlagwörter: MACHINE learning, FEATURE extraction, ARTIFICIAL intelligence, PROTEIN structure, IMAGE processing, CLASSIFICATION algorithms

Machine Learning-based Prediction Model for Atmospheric NO2 Concentration. (English)

Autoren: Su Jing Lou Yingbin Liu Yuwei et al.

Quelle: Asian Journals of Ecotoxicology; Jun2024, Vol. 19 Issue 3, p61-69, 9p

Schlagwörter: PREDICTION models, EMISSIONS (Air pollution), ATMOSPHERIC models, REGIONAL disparities, AIR quality, MACHINE learning, NITROGEN oxides

An improved method for calculating roll deformation of six-high rolling mill: enhances computation speed and accuracy.

Autoren: Chen, Yafei Feng, Pingjie Zhou, Jihan et al.

Quelle: International Journal of Advanced Manufacturing Technology; Feb2024, Vol. 130 Issue 7/8, p3755-3770, 16p

Schlagwörter: OPTIMIZATION algorithms, ROLLING-mills, ROLLING contact, DEFORMATIONS (Mechanics), OSCILLATIONS

An AI-driven Predictive Model for Pancreatic Cancer Patients Using Extreme Gradient Boosting.

Autoren: Chakraborty, Aditya Tsokos, Chris P.

Quelle: Journal of Statistical Theory & Applications; Dec2023, Vol. 22 Issue 4, p262-282, 21p

Schlagwörter: PANCREATIC cancer diagnosis, CARCINOGENICITY, STANDARD deviations, CANCER-related mortality, BODY mass index

Machine Learning Algorithms for Identifying Dependencies in OT Protocols.

Autoren: Smolarczyk, Milosz Pawluk, Jakub Kotyla, Alicja et al.

Quelle: Energies (19961073); May2023, Vol. 16 Issue 10, p4056, 24p

Schlagwörter: MACHINE learning, DECISION trees, DIFFERENTIAL equations, PHYSICS laboratories, TCP/IP, ALGORITHMS, INTRUSION detection systems (Computer security), BOOSTING algorithms

A Powerful Predicting Model for Financial Statement Fraud Based on Optimized XGBoost Ensemble Learning Technique.

Autoren: Ali, Amal Al Khedr, Ahmed M. El-Bannany, Magdi et al.

Quelle: Applied Sciences (2076-3417); Feb2023, Vol. 13 Issue 4, p2272, 16p

Schlagwörter: FINANCIAL statements, FRAUD, SUPPORT vector machines, RANDOM forest algorithms, PYTHON programming language, DECISION trees

Geografische Kategorien: MIDDLE East, MAGHREB (North Africa), NORTH Africa

The Global Organizational Behavior Analysis for Financial Risk Management Utilizing Artificial Intelligence.

Autoren: Yang, Shufang Wu, Hainan

Quelle: Journal of Global Information Management; Nov2022, Vol. 30 Issue 7, p1-24, 24p

Schlagwörter: FINANCIAL risk management, BOOSTING algorithms, ORGANIZATIONAL behavior, RISK assessment, ARTIFICIAL intelligence, BEHAVIORAL assessment

Early warning model of recurrence site for breast cancer rehabilitation patients based on adaptive mesh optimization XGBoost.

Autoren: Aimin Yang Zezhong Ma Jian Wang et al.

Quelle: European Journal of Gynaecological Oncology; Aug2022, Vol. 43 Issue 4, p40-48, 9p

Schlagwörter: BOOSTING algorithms, BREAST cancer, CANCER relapse, MEDICAL rehabilitation, TUMOR microenvironment, AEROBIC exercises, IMMUNE response, NUTRITION

基于集成学习的 FRP 加固混凝土梁 抗弯承载力预测研究. (Chinese)

Alternate Title: STUDY ON PREDICTION OF FRP STRENGTHENED REINFORCED CONCRETE BEAM’S MOMENT BEARING CAPACITY BASED ON ENSEMBLE LEARNING ALGORITHM. (English)

Autoren: 张书颖 陈适之 韩万水 et al.

Quelle: Engineering Mechanics / Gongcheng Lixue; 2022, Vol. 39 Issue 8, p245-256, 12p

XGBoost Machine Learning Algorithm for Prediction of Outcome in Aneurysmal Subarachnoid Hemorrhage.

Autoren: Wang, Ruoran Zhang, Jing Shan, Baoyin et al.

Quelle: Neuropsychiatric Disease & Treatment; Mar2022, Vol. 18, p659-667, 9p

Schlagwörter: SUBARACHNOID hemorrhage, MACHINE learning, RECEIVER operating characteristic curves, GLASGOW Coma Scale, CEREBRAL ischemia

Geografische Kategorien: CHINA

基于Wide & Deep-XGB2LSTM 模型的超短期光伏功率预测. (Chinese)

Alternate Title: Ultra-short-term photovoltaic power prediction based on Wide & Deep-XGB2LSTM model. (English)

Autoren: 栗然 丁星 孙帆 et al.

Quelle: Electric Power Automation Equipment / Dianli Zidonghua Shebei; Jul2021, Vol. 41 Issue 7, Preceding p31-37, 10p

基于XGBoost-EE 的电力系统暂态稳定评估方法. (Chinese)

Alternate Title: Power system transient stability assessment method based on XGBoost-EE. (English)

Autoren: 邬春明 任继红

Quelle: Electric Power Automation Equipment / Dianli Zidonghua Shebei; Feb2021, Vol. 41 Issue 2, Following p138-152, 9p

Machine Learning Implementation for E-commerce Delivery Delay Prediction Using XGBoost Algorithm

Autoren: null Stevanus Putra Lesmana null Dina Hermawati null Maulina Mukaromah et al.

Quelle: Green Engineering: International Journal of Engineering and Applied Science. 2:46-57

Enhancing medical classification with fuzzy logic-based missing data imputation technique.

Autoren: Moatadid, Ismail Idri, Ali Abnane, Ibtissam

Quelle: International Journal of Data Science & Analytics; Dec2025, Vol. 20 Issue 8, p7281-7303, 23p

A Comprehensive Dataset of Residential Air Conditioning Prevalence in the Continental United States.

Autoren: Ahn, Yoonjung Uejio, Christopher K.

Quelle: Scientific Data; 10/31/2025, Vol. 12 Issue 1, p1-14, 14p

Schlagwörter: AIR conditioning, PUBLIC health, RESIDENTIAL real estate, ACQUISITION of data, PREDICTION models, CLIMATE change adaptation

Geografische Kategorien: UNITED States

SHAP-based interpretable machine learning for Parkinson's disease severity prediction: integrated analysis of clinical and environmental features.

Autoren: Jin, Yuting Li, Xiang Han, Xinsheng et al.

Quelle: Frontiers in Neurology; 2025, p1-20, 20p

Schlagwörter: PARKINSON'S disease, MACHINE learning, SYMPTOMS, DISEASE progression, ENSEMBLE learning

Stratifying dementia risk factors: A prediction model and hypothesis‐driven analysis.

Autoren: Arnold, Daniel Barros, Rodrigo C Ferrari‐Souza, João Pedro et al.

Quelle: Alzheimer's & Dementia: The Journal of the Alzheimer's Association; Oct2025, Vol. 21 Issue 10, p1-12, 12p

Logistic Regression and Machine Learning Algorithms for the Risk Prediction of Perioperative Adverse Cardiovascular Events in Elderly Patients.

Autoren: Li, Xiao Yan Duan, Guang You Li, Lin et al.

Quelle: Aging Medicine; Oct2025, Vol. 8 Issue 5, p398-411, 14p

Schlagwörter: CARDIOVASCULAR disease related mortality, COMPLICATIONS of alcoholism, BLOOD sugar analysis, RISK assessment, BOOSTING algorithms, PEARSON correlation (Statistics), OXYGEN saturation, BLOOD gases analysis, TROPONIN, PREDICTION models, RESEARCH funding, SURGERY, PATIENTS, CARDIOVASCULAR diseases, RECEIVER operating characteristic curves, PATIENT safety, CREATININE, T-test (Statistics), COMPUTERS, DATA analysis, HEART rate monitoring, LOGISTIC regression analysis, HEART function tests, MULTIPLE regression analysis, FISHER exact test, PROBABILITY theory, SMOKING, CARDIOVASCULAR diseases risk factors, PREOPERATIVE care, DECISION making in clinical medicine, RETROSPECTIVE studies, PEPTIDE hormones, MULTIVARIATE analysis, MANN Whitney U Test, CHI-squared test, BLOOD cell count, DESCRIPTIVE statistics, OPERATIVE surgery, MEDICAL records, ACQUISITION of data, DELIRIUM, STATISTICS, RESEARCH, DIASTOLIC blood pressure, GERIATRIC assessment, MACHINE learning, EARLY diagnosis, CONFIDENCE intervals, ACCURACY, DECISION trees, SYSTOLIC blood pressure, BLOOD pressure, DATA analysis software, ALGORITHMS, BIOMARKERS, SENSITIVITY & specificity (Statistics), PREDICTIVE validity, OLD age

Geografische Kategorien: CHINA

Research on the Distribution Characteristics and Health Effects of O 3 in the Fenwei Plain.

Autoren: Wang, Qianqian Yang, Chunhui Liu, Man et al.

Quelle: Atmosphere; Oct2025, Vol. 16 Issue 10, p1219, 25p

Schlagwörter: OZONE, AIR pollution, PLAINS, REMOTE sensing, PUBLIC health, CHRONIC obstructive pulmonary disease, MACHINE learning, ENVIRONMENTAL monitoring

Geografische Kategorien: CHINA