Search Results - Stacking integration algorithm

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

Authors: Kaidi Wang Yunqing Guo Shiyuan Chen

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

Predicting Stroke Through Health Data Analysis and Stacking Integration Algorithm

Authors: Yi Wang Xinping Shang A'ni Dong et al.

Source: 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

Authors: Shucheng Luo Baoshi Wang Qingzhong Gao et al.

Source: Energy Reports. 12:2676-2689

Achievement Prediction System Based on Stacking Integration Algorithm

Authors: Yan Chen

Source: 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

Authors: Jiajia Wang Bo Zhang Wenjian Yao et al.

Source: 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

Authors: Zhanjun Tang Xiaobing Shi Huayu Zou et al.

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

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

File Description: electronic resource

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

Access URL: https://doaj.org/article/940c68cc10af4cacb745c17ae9238642

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

Authors: Xin Li Xiaojie Liu Hongyang Li et al.

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

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

File Description: electronic resource

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

Access URL: 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

Authors: Yang Yang Qingliang Zeng Guangjun Yin et al.

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

Subject Terms: 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

Access URL: 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

Authors: Tran, Xuan-Truc Dinh Phan, Tieu-Long To, Van-Thinh et al.

Source: Frontiers in Chemistry. 12

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

File Description: electronic

Access URL: 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

Authors: Jun-long Zhao Hua-ping Jia Wei-Xi Sun et al.

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

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

Access URL: 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.

Authors: Tang, Zhanjun Shi, Xiaobing Zou, Huayu et al.

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

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

Company/Entity: 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.

Authors: Li, Tiangui Gu, Wenjuan Gao, Wenqi et al.

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

Subject Terms: OPTIMIZATION algorithms, ENSEMBLE learning, GENERATIVE adversarial networks, COPPER, COPPER smelting

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

Authors: Jiachuang Wang Haoji Ma Xianhang Yan

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

Subject Terms: 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

Availability: 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.

Authors: Li, Xin Liu, Xiaojie Li, Hongyang et al.

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

Subject Terms: 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.

Authors: Xie, Xiaolan Pang, Shantian Chen, Jili

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

Subject Terms: *ALGORITHMS, *FORECASTING, DEEP learning, FEATURE extraction

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

Authors: Wang, Jiachuang Ma, Haoji Yan, Xianhang

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

Subject Terms: MACHINE learning, CLASSIFICATION algorithms, FORECASTING, PREDICTION models, CLASSIFICATION

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

Authors: Sankar Subramanian

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

Index Terms: 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.

Authors: Hua-ping Jia Jun-long Zhao Jun-Liu et al.

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

Subject Terms: HEART diseases, SURVIVAL rate, MACHINE learning, DISEASE incidence, FORECASTING

Non-intrusive Load Identification Algorithm Based on Stacking Modeling

Authors: Miao, Weiwei Zeng, Zeng Teng, Changzhi et al.

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

Availability: 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

Authors: Yong-qian Liu Chu Jingchun Qian Liu et al.

Source: Energy Procedia. 158:6309-6314

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

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