Suchergebnisse - "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

A Comprehensive framework for Parkinson’s disease diagnosis using explainable artificial intelligence empowered machine learning techniques

Autoren: S. Priyadharshini K. Ramkumar Subramaniyaswamy Vairavasundaram et al.

Quelle: Alexandria Engineering Journal, Vol 107, Iss, Pp 568-582 (2024)

Schlagwörter: 03 medical and health sciences, 0302 clinical medicine, Parkinson's disease, Early detection, Explainable artificial intelligence, TA1-2040, Engineering (General). Civil engineering (General), Gradient boosting Algorithm, Magnetic resonance imaging analysis, 3. Good health

Zugangs-URL: https://doaj.org/article/9c7940e791c54db28c749ce327a944d7

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

Determining the quality of imprinted polymers using diverse feature selections methods, Ada Boost and Gradient boosting algorithms

Autoren: Bita Yarahmadi Seyed Majid Hashemianzadeh

Quelle: Results in Materials, Vol 27, Iss , Pp 100722- (2025)

Schlagwörter: Machine learning, Imprinting factor, Feature selection methods, Ada boost algorithm, Gradient boosting algorithm, Materials of engineering and construction. Mechanics of materials, TA401-492

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2590048X25000676; https://doaj.org/toc/2590-048X

Zugangs-URL: https://doaj.org/article/7e613efba8b3417689710de3fce9aa14

An evaluation of improved gradient boosting models for predicting dynamic normal stress on silo wall

Autoren: Zhijun Xu Huijie Guo Huang Huang et al.

Quelle: Results in Engineering, Vol 27, Iss , Pp 106961- (2025)

Schlagwörter: Dynamic normal stress, Gradient boosting algorithm, Parameter optimization, Prediction performance, Technology

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S259012302503018X; https://doaj.org/toc/2590-1230

Zugangs-URL: https://doaj.org/article/ab284b632ca64748a43204d6430e3546

Explainable artificial intelligence-driven model for ultrafine particle (PM0.1) prediction and explanation using meteorological variables

Autoren: Apaporn Tipsavak Thanyabun Phutson Thanathip Limna et al.

Quelle: Environmental Challenges, Vol 20, Iss , Pp 101248- (2025)

Schlagwörter: Interpretable machine learning, Gradient boosting algorithm, Shapley additive explanation, Bayesian optimization, Individual prediction, Nanoparticles, Environmental sciences, GE1-350

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2667010025001672; https://doaj.org/toc/2667-0100

Zugangs-URL: https://doaj.org/article/550702227dcd4fbaa2e245476325068b

SVM Ransomware Detection Using Machine Learning Algorithm

Autoren: Olaniyi Abiodun Ayeni Ibitola Adejumo

Quelle: Buana Information Technology and Computer Sciences, Vol 5, Iss 2, Pp 74-84 (2024)

Schlagwörter: machine learning, ransomware, Electronic computers. Computer science, support vector machine, Information technology, QA75.5-76.95, T58.5-58.64, gradient boosting algorithm, random forest

Zugangs-URL: https://doaj.org/article/bc1e47a9b24943e487a5f878c7cce176

An intelligent lithology identification method for sandstone and mudstone strata and its applications: A case study of the Jurassic strata in the Lunnan area, Xinjiang, China

Autoren: Ming CAI Qingwen ZHOU Cong YANG et al.

Quelle: Meitian dizhi yu kantan, Vol 53, Iss 1, Pp 235-244 (2025)

Schlagwörter: logging, lithology identification, artificial intelligence (ai), catboost, gradient boosting algorithm, Geology, QE1-996.5, Mining engineering. Metallurgy, TN1-997

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1001-1986

Zugangs-URL: https://doaj.org/article/454c4914a90f43b7b7209a8d56cdeba3

Studying the impact of the Green Deal on the EU economy using Gradient Boosting Algorithm

Autoren: Frahi Fadila

Quelle: المجلة الدولية للأداء الاقتصادي, Vol 8, Iss 01 (2025)

Schlagwörter: Gradient Boosting Algorithm, Green Infrastructure, Renewable Energy, Green Jobs, Commercial geography. Economic geography, HF1021-1027, Marketing. Distribution of products, HF5410-5417.5

Dateibeschreibung: electronic resource

Relation: https://ijep.dz/index.php/IJEP/article/view/345; https://doaj.org/toc/2661-7161; https://doaj.org/toc/2716-9073

Zugangs-URL: https://doaj.org/article/bad404c4dedd4fbe861be0afd0029cd0

Decoding the synergy: unveiling gradient boosting regression model for multivariate quantitation of pioglitazone, alogliptin and glimepiride in pure and tablet dosage forms

Autoren: Mahmoud M. Elkhoudary Aya A. Marie Sherin F. Hammad et al.

Quelle: BMC Chemistry, Vol 18, Iss 1, Pp 1-13 (2024)

Schlagwörter: Partial least squares, UV/Vis spectroscopy, Artificial neural networks, Extreme gradient boosting algorithm, Support vector regression, Chemistry, QD1-999

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2661-801X

Zugangs-URL: https://doaj.org/article/9f1c1343a9e74c53b0b827fd99b2c718

One Acceleration Strategy for Operator Generation Based on TVM

Autoren: Wei GAO, Shuailong LI, Lin MAO, Lei WANG, Yingying LI, Lin HAN

Quelle: Jisuanji gongcheng, Vol 50, Iss 8, Pp 353-362 (2024)

Schlagwörter: deep learning compiler, cost model, gradient boosting algorithm, pruning strategy, automatic tuning, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

Dateibeschreibung: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/1723188297256-433678039.pdf; https://doaj.org/toc/1000-3428

Zugangs-URL: https://doaj.org/article/cd26e91a987f4013ab90d277529268d7

A novel workflow for shale lithology identification – A case study in the Gulong Depression, Songliao Basin, China

Autoren: Xu Liying Han Ruiyi Yan Xuehong et al.

Quelle: Open Geosciences, Vol 16, Iss 1, Pp 916-27 (2024)

Schlagwörter: shale, shale oil, lithology identification, machine learning, bayesian gradient boosting algorithm, Geology, QE1-996.5

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2391-5447

Zugangs-URL: https://doaj.org/article/15bdeeceadca486390f7eca17a21d613

PREDIKSI GANGGUAN PANIK MENGGUNAKAN KNOWLEDGE DISCOVERY IN DATABASE DENGAN ALGORITMA GRADIENT BOOSTING

Autoren: Maulizidan, Muammar Ramadhani Hermanto, Muhammad Lucky Ardhillah, Onky et al.

Weitere Verfasser: Maulizidan, Muammar Ramadhani Hermanto, Muhammad Lucky Ardhillah, Onky et al.

Quelle: JTT (Jurnal Teknologi Terpadu); Vol 13, No 2 (2025): JTT (Jurnal Terpadu Terpadu); 166-174 ; Jurnal Teknologi Terpadu; Vol 13, No 2 (2025): JTT (Jurnal Terpadu Terpadu); 166-174 ; 2477-5177 ; 2338-6649 ; 10.32487/jtt.v13i2

Schlagwörter: Knowledge Discovery in Database, Gradient Boosting Algorithm, Accuracy

Dateibeschreibung: application/pdf

Relation: http://jurnal.poltekba.ac.id/index.php/jtt/article/view/2518/pdf; http://jurnal.poltekba.ac.id/index.php/jtt/article/view/2518

Verfügbarkeit: http://jurnal.poltekba.ac.id/index.php/jtt/article/view/2518
https://doi.org/10.32487/jtt.v13i2.2518

Enhanced Prognostics for Lithium-Ion Batteries in eVTOL Aircraft Using CatBoost and LightGBM Algorithms

Autoren: Srinivas Mallimoggala K Rama Devi

Schlagwörter: Keywords: CatBoost, Electric Vertical Take Off and Landing, Gradient Boosting Algorithm, LightGBM, RUL, SOC, Battery Lifespan, Battery Management, SOH

Relation: https://zenodo.org/records/15012984; oai:zenodo.org:15012984; https://doi.org/10.17485/IJST/v18i2.1804

Verfügbarkeit: https://doi.org/10.17485/IJST/v18i2.1804
https://zenodo.org/records/15012984
https://indjst.org/articles/enhanced-prognostics-for-lithium-ion-batteries-in-evtol-aircraft-using-catboost-and-lightgbm-algorithms

Molecular-Level Understanding of Membrane Disruption Behaviors of Antimicrobial Peptides by Gradient Boosting Algorithm-Assisted Raman Spectroscopy

Autoren: Chao Li Qing-Qing Zhou Tong Yu et al.

Schlagwörter: Medicine, Cell Biology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Physical Sciences not elsewhere classified, provides deep insight, physiological environment without, lipid acyl chains, isothermal titration calorimetry, gradient boosting algorithm, membrane disruption mechanisms, membrane disruption mechanism, membrane disruption behaviors, spectral changes indicated, related drug designs, two data sets, assisted raman spectroscopy, analytical process consists, phospholipid membrane, cytoplasmic membrane, spectral differences, drug development, three steps, study opens, still challenging, raman spectra, raman revealed, previous studies, new avenue, magainin 2

Verfügbarkeit: https://doi.org/10.1021/acs.jcim.5c01392.s001
https://figshare.com/articles/journal_contribution/Molecular-Level_Understanding_of_Membrane_Disruption_Behaviors_of_Antimicrobial_Peptides_by_Gradient_Boosting_Algorithm-Assisted_Raman_Spectroscopy/29828834

A Novel SHAP-GAN Network for Interpretable Ovarian Cancer Diagnosis

Autoren: Jingxun Cai Zne-Jung Lee Zhihxian Lin et al.

Quelle: Mathematics ; Volume 13 ; Issue 5 ; Pages: 882

Schlagwörter: ovarian cancer, feature selection, extreme gradient boosting algorithm, generative adversarial networks, SHAP

Dateibeschreibung: application/pdf

Relation: E2: Control Theory and Mechanics; https://dx.doi.org/10.3390/math13050882

Verfügbarkeit: https://doi.org/10.3390/math13050882

Investigating the Predictive Performance of Process Data and Result Data in Complex Problem Solving Using the Conditional Gradient Boosting Algorithm

Autoren: Fatma Nur Aydin Kubra Atalay Kabasakal Ismail Dilek

Quelle: Journal of Intelligence ; Volume 13 ; Issue 3 ; Pages: 29

Schlagwörter: process data, log files, result data, complex problem solving, conditional gradient boosting algorithm

Dateibeschreibung: application/pdf

Relation: Contributions to the Measurement of Intelligence; https://dx.doi.org/10.3390/jintelligence13030029

Verfügbarkeit: https://doi.org/10.3390/jintelligence13030029

Improved Confidence-Interval Estimations Using Uncertainty Measure and Weighted Feature Decisions for Cuff-Less Blood-Pressure Measurements

Autoren: Soojeong Lee Mugahed A. Al-antari Gyanendra Prasad Joshi

Quelle: Bioengineering ; Volume 12 ; Issue 2 ; Pages: 131

Schlagwörter: uncertainty, confidence intervals, cuff-less blood-pressure estimation, Gaussian processes regression, gradient boosting algorithm

Geographisches Schlagwort: agris

Dateibeschreibung: application/pdf

Relation: Biosignal Processing; https://dx.doi.org/10.3390/bioengineering12020131

Verfügbarkeit: https://doi.org/10.3390/bioengineering12020131

Optimization of Social Assistance Recipient Determination using Gradient Boosting Algorithm

Autoren: Windi Herlita Vidila Rudi Kurniawan Saeful Anwar

Quelle: Journal of Artificial Intelligence and Engineering Applications (JAIEA); Vol. 4 No. 2 (2025): February 2025; 901-910 ; 2808-4519 ; 10.59934/jaiea.v4i2

Schlagwörter: Gradient Boosting Algorithm, Classification, Social Assistance Recipient, Optimization, Gradient Boosted Trees, RapidMiner

Dateibeschreibung: application/pdf

Relation: https://ioinformatic.org/index.php/JAIEA/article/view/773/559; https://ioinformatic.org/index.php/JAIEA/article/view/773

Verfügbarkeit: https://ioinformatic.org/index.php/JAIEA/article/view/773

Computer-aided Diagnosis of Polyp Classification Using Scale Invariant Features and Extreme Gradient Boosting

Autoren: S Don

Quelle: J Med Phys
Journal of Medical Physics, Vol 48, Iss 3, Pp 230-237 (2023)

Schlagwörter: Medical physics. Medical radiology. Nuclear medicine, radon transform, fractal, zernike movement, R895-920, spectral reflection, Original Article, gradient boosting algorithm, polyps

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/37969147
https://doaj.org/article/61e2da34816c46e4bcab8b4590fc9771