Suchergebnisse - Extreme Gradient Boosting algorithm (XGBoost) Algorithm

Cryptocurrency Price Prediction Using Enhanced PSO with Extreme Gradient Boosting Algorithm

Autoren: Srivastava Vibha Dwivedi Vijay Kumar Singh Ashutosh Kumar

Quelle: Cybernetics and Information Technologies, Vol 23, Iss 2, Pp 170-187 (2023)

Schlagwörter: xgboost, pso, 0502 economics and business, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, Q300-390, regression algorithm, 02 engineering and technology, price prediction, Cybernetics, cryptocurrency

Zugangs-URL: https://doaj.org/article/33c459e297ca4bc2a22d78dcd59e0351

Predictive model and risk analysis for outcomes in diabetic foot ulcer using eXtreme Gradient Boosting algorithm and SHapley Additive exPlanation

Autoren: Gao, Lei Liu, Zi-Xuan Wang, Jiang-Ning

Quelle: World J Diabetes

Schlagwörter: Retrospective Study

An hourly solar radiation prediction model using eXtreme gradient boosting algorithm with the effect of fog-haze

Autoren: Chunxiao Zhang Yingbo Zhang Jihong Pu et al.

Quelle: Energy and Built Environment, Vol 6, Iss 1, Pp 18-26 (2025)

Schlagwörter: Building construction, Hourly solar radiation, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Fog-haze, Model accuracy, 02 engineering and technology, Air quality index, Environmental technology. Sanitary engineering, TD1-1066, TH1-9745

Zugangs-URL: https://doaj.org/article/53ef522020554b3a8ac4d2554dbb06f0

Online Prediction and Correction of Static Voltage Stability Index Based on Extreme Gradient Boosting Algorithm

Autoren: Huiling Qin Shuang Li Juncheng Zhang et al.

Quelle: Energies, Vol 17, Iss 22, p 5710 (2024)

Schlagwörter: Technology, sensitivity approximation, preventive control, static voltage stability, real-time prediction, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, extreme gradient boosting (XGBoost) algorithm

Zugangs-URL: https://doaj.org/article/7027863c1a7f47e0a84e015198293700

Bandwidth Control Mechanism and Extreme Gradient Boosting Algorithm for Protecting Software-Defined Networks Against DDoS Attacks

Autoren: Hassan A. Alamri Vijey Thayananthan

Quelle: IEEE Access, Vol 8, Pp 194269-194288 (2020)

Schlagwörter: Bandwidth, 0202 electrical engineering, electronic engineering, information engineering, security, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, software-defined networking (SDN), extreme gradient boosting (XGBoost) algorithm, distributed denial-of-service (DDoS) attack, TK1-9971

Zugangs-URL: https://ieeexplore.ieee.org/ielx7/6287639/6514899/09239958.pdf
https://doaj.org/article/b3a1ab5e9337439db8917bd9aafb7498
https://ieeexplore.ieee.org/document/9239958/
https://dblp.uni-trier.de/db/journals/access/access8.html#AlamriT20

Extreme Gradient Boosting Algorithm for Automatic Cardiac Arrhythmia Classification.

Autoren: Singh, Vipul Kumar Barman, Jyotismita Kolekar, Maheshkumar H.

Quelle: Procedia Computer Science. 2025, Vol. 258, p1466-1475. 10p.

Schlagwörter: Fisher discriminant analysis, Boosting algorithms, Machine learning, Heart beat, Feature extraction

An interpretable predictive model for bank customers’ income using the eXtreme Gradient Boosting algorithm and the SHAP method: a case study of an Anonymous Chilean Bank

Autoren: Patricio Salas Patricio Sáez Vicente Marchant

Quelle: Research in Statistics, Vol 2, Iss 1 (2024)

Schlagwörter: Income prediction, XGBoost, variable selection, Boruta, SHAP, Statistics, HA1-4737

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2768-4520

Zugangs-URL: https://doaj.org/article/484780faa0da44409015021559802d51

Türkiye's Renewable Energy Outlook: GCM-Based Analysis and Future Projections Using the Extreme Gradient Boosting Algorithm

Autoren: Denizhan Guven Omer Lutfi Sen Mehmet Ozgur Kayalica

Schlagwörter: 13. Climate action, 11. Sustainability, 7. Clean energy

Utilizing the eXtreme Gradient Boosting Algorithm for Artificial Intelligence-supported Learning Analytics Application

Autoren: Mustafa COSAR

Quelle: The Eurasia Proceedings of Science Technology Engineering and Mathematics. 28:277-285

Schlagwörter: 4. Education

Early prediction of battery degradation in grid-scale battery energy storage system using extreme gradient boosting algorithm

Autoren: Chico Hermanu Brillianto Apribowo Sasongko Pramono Hadi Franscisco Danang Wijaya et al.

Quelle: Results in Engineering, Vol 21, Iss , Pp 101709- (2024)

Schlagwörter: Battery energy storage system, Battery degradation, Remaining useful life, Extreme gradient boosting algorithm, Hyperparameter tuning, Technology

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2590123023008368; https://doaj.org/toc/2590-1230

Zugangs-URL: https://doaj.org/article/81be6e336e14402c80fb86221fe34894

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

Model Classification for Predicting the Post-Translational Modification (PTM) Glycosylation in Sequence O Using an Extreme Gradient Boosting Algorithm

Autoren: Damayanti Sutyarso Akmal Junaidi et al.

Index Begriffe: Research Article

Prediksi Permeabilitas Efektif Minyak (KO) Pada Buildup Test Dengan Menggunakan Extreme Gradient Boosting Algorithm Pada Sumur X

Autoren: Ramadhani, Gema

Index Begriffe: TN Mining engineering. Metallurgy, Thesis, NonPeerReviewed

URL: https://repository.uir.ac.id/14530/1/173210233.pdf
https://repository.uir.ac.id/14530/
https://repository.uir.ac.id/14530

Machine Learning Techniques Associated With Infrared Thermography to Optimize the Diagnosis of Bovine Subclinical Mastitis.

Autoren: Santana, Raul Costa Mascarenhas Guimarães, Edilson da Silva Caracuschanski, Fernando David et al.

Quelle: Veterinary Medicine International. 2/8/2025, Vol. 2025, p1-14. 14p.

Schlagworte: Receiver operating characteristic curves, Milkfat, Bovine mastitis, Mammary glands, Milk yield

[Diagnostic efficacy of a combined diagnostic model based on extreme gradient boosting algorithm in differentiating the pathological grading of gastric neuroendocrine neoplasms]

Autoren: Jianbo Gao Ruiyong Wang J Yu et al.

Quelle: Zhonghua yi xue za zhi. 101(34)

Schlagwörter: Adult, Male, 03 medical and health sciences, Neuroendocrine Tumors, 0302 clinical medicine, Stomach Neoplasms, Lymphatic Metastasis, Humans, Middle Aged, Tomography, X-Ray Computed, Algorithms, Aged

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/34510879
https://pubmed.ncbi.nlm.nih.gov/34510879/
https://www.ncbi.nlm.nih.gov/pubmed/34510879

Hub Genes Identification, Small Molecule Compounds Prediction for Atrial Fibrillation and Diagnostic Model Construction Based on XGBoost Algorithm

Autoren: Yang, Lingzhi Chen, Yunwei Huang, Wei

Quelle: Front Cardiovasc Med
Frontiers in Cardiovascular Medicine, Vol 9 (2022)

Schlagwörter: weighted gene coexpression network analysis, 03 medical and health sciences, 0302 clinical medicine, rank robust aggregation, RC666-701, Connectivity map, Diseases of the circulatory (Cardiovascular) system, atrial fibrillation, the eXtreme Gradient Boosting algorithm, Cardiovascular Medicine, Cardiology and Cardiovascular Medicine, the Sharpley Additive exPlanations, 3. Good health

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/35911532
https://doaj.org/article/f66e9a2a89684e9b874e939e32efd170

T4SE-XGB: Interpretable Sequence-Based Prediction of Type IV Secreted Effectors Using eXtreme Gradient Boosting Algorithm

Autoren: Tianhang Chen Xiangeng Wang Yanyi Chu et al.

Quelle: Front Microbiol
Frontiers in Microbiology, Vol 11 (2020)

Schlagwörter: 0301 basic medicine, SHAP (SHapley additive exPlanations), 03 medical and health sciences, interpretable analysis, extreme gradient boosting, 0206 medical engineering, type IV secreted effector, 02 engineering and technology, feature secelction, Microbiology, QR1-502

Zugangs-URL: https://www.frontiersin.org/articles/10.3389/fmicb.2020.580382/pdf
https://pubmed.ncbi.nlm.nih.gov/33072049
https://doaj.org/article/31b36969ecd742fcbe5362d5eedd39b4
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7541839
https://www.frontiersin.org/articles/10.3389/fmicb.2020.580382/full
https://scholars.cityu.edu.hk/en/publications/t4sexgb(4886f1aa-cfe9-401c-9c27-238c218fb2da).html
https://www.frontiersin.org/article/10.3389/fmicb.2020.580382/full
https://pubmed.ncbi.nlm.nih.gov/33072049/
https://doaj.org/article/31b36969ecd742fcbe5362d5eedd39b4

A Decision Support System For Early Stage Parkinson's Diagnosis from EEG Data Using Symbolic Mutual Information and KAC Features

Autoren: Neslihan Baki Nurhan Gürsel Özmen

Quelle: Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, Vol 28, Iss 5, Pp 912-923 (2024)

Schlagwörter: weighted symbolic mutual information (wsmi), Chemistry, parkinson, extreme gradient boosting algorithm, TA1-2040, kolmogorov algorithmic complexity (kac), Engineering (General). Civil engineering (General), QD1-999, electroencephalography

Zugangs-URL: https://doaj.org/article/82f2d11f55af4e7e9cd6d659a5932f62

Performance-oriented road structure and material design method based on enhanced XGBoost algorithm.

Autoren: Li, Jiale Zhang, Zhishuai Wang, Xuefei

Quelle: International Journal of Pavement Engineering; Dec2024, Vol. 25 Issue 1, p1-15, 15p

Schlagwörter: PARTICLE swarm optimization, ROAD construction, BOOSTING algorithms, CONSTRUCTION management, PARETO optimum, PAVEMENTS

PREDICTING FLIGHT DELAY USING RANDOM FOREST ALGORITHM, XGBOOST ALGORITHM, AND STACKING ENSEMBLE METHOD

Autoren: Ferrey Adinarta

Quelle: Proxies : Jurnal Informatika. 8:88-106