Výsledky vyhľadávania - stacking integration algorithm

Stacking integration algorithm Based on Regression models and Informer for Olympic Medal Standings Forecasting

Autori: Kaidi Wang Yunqing Guo Shiyuan Chen

Zdroj: Highlights in Science, Engineering and Technology. 146:260-269

Predicting Stroke Through Health Data Analysis and Stacking Integration Algorithm

Autori: Yi Wang Xinping Shang A'ni Dong a ďalší

Zdroj: 2025 5th International Conference on Consumer Electronics and Computer Engineering (ICCECE). :1-5

Stacking integration algorithm based on CNN-BiLSTM-Attention with XGBoost for short-term electricity load forecasting

Autori: Shucheng Luo Baoshi Wang Qingzhong Gao a ďalší

Zdroj: Energy Reports. 12:2676-2689

Achievement Prediction System Based on Stacking Integration Algorithm

Autori: Yan Chen

Zdroj: 2024 3rd International Conference on Data Analytics, Computing and Artificial Intelligence (ICDACAI). :74-79

Design and Implementation of State Grid Data Operation Management System Based on Stacking Integration Algorithm

Autori: Jiajia Wang Bo Zhang Wenjian Yao a ďalší

Zdroj: 2024 3rd International Conference for Innovation in Technology (INOCON). :1-4

Fault Diagnosis of Wind Turbine Generators Based on Stacking Integration Algorithm and Adaptive Threshold

Autori: Zhanjun Tang Xiaobing Shi Huayu Zou a ďalší

Zdroj: Sensors, Vol 23, Iss 13, p 6198 (2023)

Predmety: fault diagnosis, WTG, stacking integration algorithm, machine learning, EDP, adaptive threshold, Chemical technology, TP1-1185

Popis súboru: electronic resource

Relation: https://www.mdpi.com/1424-8220/23/13/6198; https://doaj.org/toc/1424-8220

Prístupová URL adresa: https://doaj.org/article/940c68cc10af4cacb745c17ae9238642

Research on Sinter Quality Prediction System Based on Granger Causality Analysis and Stacking Integration Algorithm

Autori: Xin Li Xiaojie Liu Hongyang Li a ďalší

Zdroj: Metals, Vol 13, Iss 2, p 419 (2023)

Predmety: sintering quality, Granger causality analysis, stacking integration algorithm, Mining engineering. Metallurgy, TN1-997

Popis súboru: electronic resource

Relation: https://www.mdpi.com/2075-4701/13/2/419; https://doaj.org/toc/2075-4701

Prístupová URL adresa: https://doaj.org/article/eaf646d2c34846b5930665378e7073f1

Vibration Test of Single Coal Gangue Particle Directly Impacting the Metal Plate and the Study of Coal Gangue Recognition Based on Vibration Signal and Stacking Integration

Autori: Yang Yang Qingliang Zeng Guangjun Yin a ďalší

Zdroj: IEEE Access, Vol 7, Pp 106784-106805 (2019)

Predmety: Coal gangue recognition, intercepted signal, stacking integration algorithm, vibration signal, EMD, impact, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, 01 natural sciences, TK1-9971, 0105 earth and related environmental sciences

Prístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08782521.pdf
https://doaj.org/article/ae04beb04c7f419c9f3d88433e685127

Integration of the Butina algorithm and ensemble learning strategies for the advancement of a pharmacophore ligand-based model: an in silico investigation of apelin agonists

Autori: Tran, Xuan-Truc Dinh Phan, Tieu-Long To, Van-Thinh a ďalší

Zdroj: Frontiers in Chemistry. 12

Predmety: 3D pharmacophore model, APJ receptor agonist, butina clustering algorithm, ensemble learning method, drug discovery

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-527899
https://doi.org/10.3389/fchem.2024.1382319

Accurate Heart Disease Prediction via Improved Stacking Integration Algorithm

Autori: Jun-long Zhao Hua-ping Jia Wei-Xi Sun a ďalší

Zdroj: Journal of Imaging Science and Technology. 65:030408-1

Predmety: 0301 basic medicine, 03 medical and health sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://www.ingentaconnect.com/content/ist/jist/2021/00000065/00000003/art00010

Fault Diagnosis of Wind Turbine Generators Based on Stacking Integration Algorithm and Adaptive Threshold.

Autori: Tang, Zhanjun Shi, Xiaobing Zou, Huayu a ďalší

Zdroj: Sensors (14248220); Jul2023, Vol. 23 Issue 13, p6198, 19p

Predmety: BOOSTING algorithms, TURBINE generators, FAULT diagnosis, MACHINE learning, WIND turbines, STANDARD deviations, ALGORITHMS

Korporácia: EDP-Energias de Portugal SA

Prediction of Copper Matte Grade Based on DN-GAN Stacking Algorithm: Prediction of copper matte grade based on DN-GAN stacking algorithm: Li, Gu, Gao, Ding, and Yin.

Autori: Li, Tiangui Gu, Wenjuan Gao, Wenqi a ďalší

Zdroj: JOM: The Journal of The Minerals, Metals & Materials Society (TMS); Jan2025, Vol. 77 Issue 1, p50-60, 11p

Predmety: OPTIMIZATION algorithms, ENSEMBLE learning, GENERATIVE adversarial networks, COPPER, COPPER smelting

Rockburst Intensity Classification Prediction Based on Multi-Model Ensemble Learning Algorithms

Autori: Jiachuang Wang Haoji Ma Xianhang Yan

Zdroj: Mathematics, Vol 11, Iss 4, p 838 (2023)

Predmety: rockburst prediction, stacking integration algorithm, voting integration algorithm, SMOTE data oversampling, fusion strategy, Mathematics, QA1-939

Relation: https://www.mdpi.com/2227-7390/11/4/838; https://doaj.org/toc/2227-7390; https://doaj.org/article/b9c4950719cd4f45823a195aa3227d9a

Dostupnosť: https://doi.org/10.3390/math11040838
https://doaj.org/article/b9c4950719cd4f45823a195aa3227d9a

Research on Sinter Quality Prediction System Based on Granger Causality Analysis and Stacking Integration Algorithm.

Autori: Li, Xin Liu, Xiaojie Li, Hongyang a ďalší

Zdroj: Metals (2075-4701); Feb2023, Vol. 13 Issue 2, p419, 17p

Predmety: TRAVERTINE, RANK correlation (Statistics), PEARSON correlation (Statistics), IGNITION temperature, COAL gas, COINTEGRATION, AIR pressure, SINTER (Metallurgy), BLAST furnaces

Hybrid recommendation model based on deep learning and Stacking integration strategy.

Autori: Xie, Xiaolan Pang, Shantian Chen, Jili

Zdroj: Intelligent Data Analysis. 2020, Vol. 24 Issue 6, p1329-1344. 16p.

Predmety: *ALGORITHMS, *FORECASTING, DEEP learning, FEATURE extraction

Rockburst Intensity Classification Prediction Based on Multi-Model Ensemble Learning Algorithms.

Autori: Wang, Jiachuang Ma, Haoji Yan, Xianhang

Zdroj: Mathematics (2227-7390); Feb2023, Vol. 11 Issue 4, p838, 29p

Predmety: MACHINE learning, CLASSIFICATION algorithms, FORECASTING, PREDICTION models, CLASSIFICATION

Integrated Bar Stacking and Testing System for High-Volume Edge-Emitting Laser Manufacturing

Autori: Sankar Subramanian

Zdroj: Journal of Computer Science and Technology Studies; Vol. 7 No. 7; 206-213; 2709-104X

Témy: Laser diode manufacturing, Multi-functional workcell, Semiconductor Automation, manufacturing execution systems, Artificial intelligence integration, info:eu-repo/semantics/article, info:eu-repo/semantics/publishedVersion

URL: https://al-kindipublisher.com/index.php/jcsts/article/view/10211
https://al-kindipublisher.com/index.php/jcsts/article/view/10211/8919
https://al-kindipublisher.com/index.php/jcsts/article/view/10211/8919

Accurate Heart Disease Prediction via Improved Stacking Integration Algorithm.

Autori: Hua-ping Jia Jun-long Zhao Jun-Liu a ďalší

Zdroj: Journal of Imaging Science & Technology; May2021, Vol. 65 Issue 3, p1-9, 9p

Predmety: HEART diseases, SURVIVAL rate, MACHINE learning, DISEASE incidence, FORECASTING

Non-intrusive Load Identification Algorithm Based on Stacking Modeling

Autori: Miao, Weiwei Zeng, Zeng Teng, Changzhi a ďalší

Zdroj: Journal of Physics: Conference Series ; volume 2418, issue 1, page 012106 ; ISSN 1742-6588 1742-6596

Dostupnosť: https://doi.org/10.1088/1742-6596/2418/1/012106
https://iopscience.iop.org/article/10.1088/1742-6596/2418/1/012106
https://iopscience.iop.org/article/10.1088/1742-6596/2418/1/012106/pdf

NWP Combination Correction Model Based on Variable-weight Stacking Algorithm

Autori: Yong-qian Liu Chu Jingchun Qian Liu a ďalší

Zdroj: Energy Procedia. 158:6309-6314

Predmety: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Prístupová URL adresa: https://www.sciencedirect.com/science/article/abs/pii/S187661021930428X
https://www.sciencedirect.com/science/article/pii/S187661021930428X