Suchergebnisse - "xgboost(extreme gradient boosting) algorithm"
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Aircraft flight quality evaluation based on grey correlation analysis and XGBoost
ISSN: 1674-8190Veröffentlicht: Editorial Department of Advances in Aeronautical Science and Engineering 01.08.2025Veröffentlicht in Hangkong Gongcheng Jinzhan (01.08.2025)“… Aircraft flight quality assessment is a critical process for evaluating the training effects and improving the training standards of pilots. Traditional …”
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Insights into geospatial heterogeneity of landslide susceptibility based on the SHAP-XGBoost model
ISSN: 0301-4797, 1095-8630, 1095-8630Veröffentlicht: England Elsevier Ltd 15.04.2023Veröffentlicht in Journal of environmental management (15.04.2023)“… (SHapley Additive explanation)-XGBoost (eXtreme Gradient Boosting) algorithm, analyze the regional characteristics and spatial heterogeneity of landslide influencing …”
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XGBoost Machine Learning Algorithm for Prediction of Outcome in Aneurysmal Subarachnoid Hemorrhage
ISSN: 1178-2021, 1176-6328, 1178-2021Veröffentlicht: New Zealand Dove Medical Press Limited 01.01.2022Veröffentlicht in Neuropsychiatric disease and treatment (01.01.2022)“… This study is conducted to develop prognostic model using XGBoost (extreme gradient boosting …”
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Potential applications and performance of machine learning techniques and algorithms in clinical practice: A systematic review
ISSN: 1386-5056, 1872-8243, 1872-8243Veröffentlicht: Ireland Elsevier B.V 01.03.2022Veröffentlicht in International journal of medical informatics (Shannon, Ireland) (01.03.2022)“… •Excellent performance metrics of ML do not guarantee adoption in clinical practice.•To date, most studies have fallen short in terms of external validation of …”
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Protein structural domain-disease association prediction based on heterogeneous networks
ISSN: 1471-2164, 1471-2164Veröffentlicht: London BioMed Central 10.04.2025Veröffentlicht in BMC genomics (10.04.2025)“… Background Domains can be viewed as portable units of protein structure, folding, function, evolution, and design. Small proteins are often found to be …”
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Predicting (n,3n) nuclear reaction cross-sections using XGBoost and Leave-One-Out Cross-Validation
ISSN: 0969-8043, 1872-9800, 1872-9800Veröffentlicht: England Elsevier Ltd 01.05.2025Veröffentlicht in Applied radiation and isotopes (01.05.2025)“… ) model based on the XGBoost (eXtreme Gradient Boosting) algorithm. By leveraging a comprehensive dataset of experimental cross-sectional values, the study …”
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Detection of Potassium Deficiency and Momentary Transpiration Rate Estimation at Early Growth Stages Using Proximal Hyperspectral Imaging and Extreme Gradient Boosting
ISSN: 1424-8220, 1424-8220Veröffentlicht: Switzerland MDPI AG 01.02.2021Veröffentlicht in Sensors (Basel, Switzerland) (01.02.2021)“… Potassium is a macro element in plants that is typically supplied to crops in excess throughout the season to avoid a deficit leading to reduced crop yield …”
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Optimizing solar photovoltaic system performance: Insights and strategies for enhanced efficiency
ISSN: 0360-5442, 1873-6785Veröffentlicht: Elsevier Ltd 15.03.2025Veröffentlicht in Energy (Oxford) (15.03.2025)“… ) systems at the Bui Generating Station in Ghana using the XGBoost (Extreme Gradient Boosting …”
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XGBoost algorithm for predicting heat transfer coefficient of saturated flow boiling in mini/micro-channels
ISSN: 0017-9310Veröffentlicht: Elsevier Ltd 01.03.2026Veröffentlicht in International journal of heat and mass transfer (01.03.2026)“… •A universal consolidated database of 11,470 pre-dryout data points was constructed from 41 sources covering 23 working fluids and wide operating ranges.•The …”
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Cutting-Edge strategies for absence data identification in natural hazards: Leveraging Voronoi-Entropy in flood susceptibility mapping with advanced AI techniques
ISSN: 0022-1694Veröffentlicht: Elsevier B.V 01.02.2025Veröffentlicht in Journal of hydrology (Amsterdam) (01.02.2025)“… •Creation of three scenarios to create flood absence points.•Voronoi-entropy method improves flood mapping accuracy via absence data creation.•Achieves up to …”
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Monitoring wheat leaf rust severity using machine learning techniques
ISSN: 2045-2322, 2045-2322Veröffentlicht: England 29.11.2025Veröffentlicht in Scientific reports (29.11.2025)“… Wheat leaf rust, caused by Puccinia triticina Eriks., is recognized as one of the most destructive diseases affecting wheat worldwide, including Iran, …”
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An AI-driven Predictive Model for Pancreatic Cancer Patients Using Extreme Gradient Boosting
ISSN: 1538-7887, 2214-1766Veröffentlicht: Melbourne Springer Nature B.V 01.12.2023Veröffentlicht in Journal of Statistical Theory and Applications (JSTA) (01.12.2023)“… of patients diagnosed with pancreatic cancer using the XGBoost (eXtreme Gradient Boosting) algorithm. The grid-search mechanism was implemented to compute the optimum …”
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ARTIFICIAL INTELLIGENCE FOR SURVIVAL PREDICTION IN HEPATOCELLULAR CARCINOMA: DEVELOPMENT AND VALIDATION OF A CLINICAL DATA–DRIVEN MODEL IN A COHORT OF 129 PATIENTS
ISSN: 1665-2681Veröffentlicht: Elsevier España, S.L.U 01.09.2025Veröffentlicht in Annals of hepatology (01.09.2025)“… (Extreme Gradient Boosting) algorithm …”
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Spatio-temporal modeling of asthma-prone areas: Exploring the influence of urban climate factors with explainable artificial intelligence (XAI)
ISSN: 2210-6707Veröffentlicht: Elsevier Ltd 01.12.2024Veröffentlicht in Sustainable cities and society (01.12.2024)“… •Utilized XGBoost-BA for accurate spatio-temporal modeling of asthma-prone areas.•SHAP analysis revealed seasonal impacts of climate and air pollution on …”
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On-Ground Distributed COVID-19 Variant Intelligent Data Analytics for a Regional Territory
ISSN: 1530-8669, 1530-8677Veröffentlicht: Oxford Hindawi 2021Veröffentlicht in Wireless communications and mobile computing (2021)“… (extreme gradient boosting) algorithm. All three algorithms are trained using the COVID-19 data of Pakistan …”
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Application of XGBoost algorithm in hourly PM2.5 concentration prediction
ISSN: 1755-1307, 1755-1315Veröffentlicht: Bristol IOP Publishing 01.02.2018Veröffentlicht in IOP conference series. Earth and environmental science (01.02.2018)“… (Extreme Gradient Boosting) algorithm to predict hourly PM2.5 concentration. The monitoring data of air quality in Tianjin city was analyzed by using XGBoost algorithm …”
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Technical indicator enhanced ultra‐short‐term wind power forecasting based on long short‐term memory network combined XGBoost algorithm
ISSN: 1752-1416, 1752-1424Veröffentlicht: 01.01.2025Veröffentlicht in IET renewable power generation (01.01.2025)“… The findings indicate that the hybrid model, which combines the XGBoost (Extreme Gradient Boosting …”
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Particulate matter pollution prone-areas mapping using an enhanced explainable ensemble meta-algorithm
ISSN: 1753-8947, 1753-8955Veröffentlicht: Taylor & Francis Group 31.12.2025Veröffentlicht in International journal of digital earth (31.12.2025)“… 2.5 and PM10 pollutants in Tehran, utilizing an advanced XGBoost (eXtreme Gradient Boosting …”
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Research on text fault recognition for on-board equipment of a C3 train control system based on an integrated XGBoost algorithm
ISSN: 2631-4428, 2631-4428Veröffentlicht: Changsha Oxford University Press 01.09.2023Veröffentlicht in Transportation safety and environment Online (01.09.2023)“… (eXtreme Gradient Boosting) algorithm to help technicians assess the malfunction category of high-speed train control on-board equipment accurately and rapidly …”
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The Global Organizational Behavior Analysis for Financial Risk Management Utilizing Artificial Intelligence
ISSN: 1062-7375, 1533-7995Veröffentlicht: Hershey IGI Global 01.01.2022Veröffentlicht in Journal of global information management (01.01.2022)“… (eXtreme Gradient Boosting) algorithm, and trains the model through BP (Backpropagation) NN (Neural Network). Finally, following comparative analysis, the effectiveness of the proposed method is verified …”
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