Výsledky vyhledávání - AdaBoost ensemble learning algorithm

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  1. 1

    Research on Motor Bearing Fault Diagnosis Based on the AdaBoost Algorithm and the Ensemble Learning with Bayesian Optimization in the Industrial Internet of Things Autor Jiang, Jiahui, Liu, Yuqing, Xu, Chaozheng, Shen, Hanting

    ISSN: 1939-0114, 1939-0122
    Vydáno: London Hindawi 18.07.2022
    Vydáno v Security and communication networks (18.07.2022)
    “… runtime to obtain satisfactory performance. In this article, the Bayesian optimized decision tree with ensemble classifiers after feature extraction of the original data is finally proposed which has good performance…”
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    BPSO-Adaboost-KNN ensemble learning algorithm for multi-class imbalanced data classification Autor Haixiang, Guo, Yijing, Li, Yanan, Li, Xiao, Liu, Jinling, Li

    ISSN: 0952-1976, 1873-6769
    Vydáno: Elsevier Ltd 01.03.2016
    “…This paper proposes an ensemble algorithm named of BPSO-Adaboost-KNN to cope with multi-class imbalanced data classification…”
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    Homogeneous Adaboost Ensemble Machine Learning Algorithms with Reduced Entropy on Balanced Data Autor Ramakrishna, Mahesh Thyluru, Venkatesan, Vinoth Kumar, Izonin, Ivan, Havryliuk, Myroslav, Bhat, Chandrasekhar Rohith

    ISSN: 1099-4300, 1099-4300
    Vydáno: Switzerland MDPI AG 29.01.2023
    Vydáno v Entropy (Basel, Switzerland) (29.01.2023)
    “…Today’s world faces a serious public health problem with cancer. One type of cancer that begins in the breast and spreads to other body areas is breast cancer…”
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  4. 4

    A New L₁ Multi-Kernel Learning Support Vector Regression Ensemble Algorithm With AdaBoost Autor Xie, Xiaojin, Luo, Kangyang, Wang, Guoqiang

    ISSN: 2169-3536
    Vydáno: IEEE 2022
    Vydáno v IEEE access (2022)
    “…This paper proposes a new multi-kernel learning ensemble algorithm, called Ada-<inline-formula> <tex-math notation="LaTeX">L_{1} </tex-math></inline-formula>MKL-WSVR, which can be regarded as an extension of multi-kernel learning…”
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    Subway track foundation settlement deformation prediction based on the BiLSTM-AdaBoost model Autor Dang, Xifeng, Yin, Xiao, Liu, Jianwei, Wu, Jincheng, Wang, Xin, Liu, Yongqiang, Sun, Shoubin

    ISSN: 2631-8695, 2631-8695
    Vydáno: IOP Publishing 01.06.2024
    Vydáno v Engineering Research Express (01.06.2024)
    “… To tackle this, our study integrates the BiLSTM (bi-directional long short-term memory) network with the AdaBoost ensemble learning algorithm…”
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    Estimating the heavy metal contents in farmland soil from hyperspectral images based on Stacked AdaBoost ensemble learning Autor Lin, Nan, Jiang, Ranzhe, Li, Genjun, Yang, Qian, Li, Delin, Yang, Xuesong

    ISSN: 1470-160X
    Vydáno: Elsevier Ltd 01.10.2022
    Vydáno v Ecological indicators (01.10.2022)
    “…•Assessment of heavy metal pollution in soil base on hyperspectral image.•Estimating the soil heavy metal content by constructing ensemble learning model…”
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    AdaBoost ensemble learning algorithm for precision manufacturing of aerosol jet printing Autor Jin, Chao, Li, Geng, Wang, Baorui, Wang, Ziyi, Tian, Yanhong

    ISSN: 2836-9734
    Vydáno: IEEE 05.08.2025
    “…) method exhibits significant prediction errors. To enhance prediction accuracy, this study proposed an ML approach based on AdaBoost ensemble learning, employing multilayer perceptron (MLP) as base learners…”
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    State-of-Health Estimation of Lithium Battery Based on PKO-Bagging-Adaboost Ensemble Learning Algorithm Autor Han, Zhipeng, Chen, Zeyang, Pan, Tinglong, Yang, Weilin, Xu, Dezhi, Wang, Yan

    Vydáno: IEEE 04.07.2025
    “… A Bagging-AdaBoost ensemble learning model was employed, which was further optimized using the PKO algorithm…”
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    Fault Section Locating Method in Distribution Network with Distributed Generators Based on Adaboost Ensemble Learning Algorithm Autor Pan, Shi, Gao, Jipu, Ma, Haoyu, Zhang, Yuanyuan, Bi, Ran, Xin, Mingyong, Wu, Shilin, Hu, Jun

    Vydáno: IEEE 05.08.2024
    “… Many traditional distribution network fault section location algorithms which based on the direction of zero-sequence current and the direction of zero-sequence current power flow during fault are not useful…”
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    A New L ₁ Multi-Kernel Learning Support Vector Regression Ensemble Algorithm With AdaBoost Autor Xie, Xiaojin, Luo, Kangyang, Wang, Guoqiang

    ISSN: 2169-3536, 2169-3536
    Vydáno: Piscataway The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022
    Vydáno v IEEE access (2022)
    “…This paper proposes a new multi-kernel learning ensemble algorithm, called Ada-[Formula Omitted]MKL-WSVR, which can be regarded as an extension of multi-kernel learning…”
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    A Hybrid Ensemble Algorithm Combining AdaBoost and Genetic Algorithm for Cancer Classification with Gene Expression Data Autor Lu, Huijuan, Gao, Huiyun, Ye, Minchao, Wang, Xiuhui

    ISSN: 1545-5963, 1557-9964, 1557-9964
    Vydáno: United States IEEE 01.05.2021
    “… This paper puts forward a hybrid ensemble algorithm combining AdaBoost and genetic algorithm…”
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    Flood susceptibility mapping through geoinformatics and ensemble learning methods, with an emphasis on the AdaBoost-Decision Tree algorithm, in Mazandaran, Iran Autor Jahanbani, Maryam, Vahidnia, Mohammad H., Aghamohammadi, Hossein, Azizi, Zahra

    ISSN: 1865-0473, 1865-0481
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2024
    Vydáno v Earth science informatics (01.04.2024)
    “… In recent years, the amalgamation of machine learning (ML) methodologies and geographic information systems (GIS…”
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    Accurate and robust ammonia level forecasting of aeration tanks using long short-term memory ensembles: A comparative study of Adaboost and Bagging approaches Autor Shi, Hanxiao, Wei, Anlei, Zhu, Yaqi, Tang, Kangrong, Hu, Hao, Li, Nan

    ISSN: 0301-4797, 1095-8630, 1095-8630
    Vydáno: England Elsevier Ltd 01.12.2024
    Vydáno v Journal of environmental management (01.12.2024)
    “… This study tackles this challenge by comprehensively comparing two ensemble learning algorithms, AdaBoost and Bagging…”
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    K-Gen PhishGuard: an Ensemble Approach for Phishing Detection with K-Means and Genetic Algorithm Autor Al-Hafiz, Ali, Jabir, Adnan, Subramaniam, Shamala

    ISSN: 1818-1171, 2312-0789
    Vydáno: Al-Khwarizmi College of Engineering – University of Baghdad 01.06.2025
    Vydáno v Ai-Khawarizmi engineering journal (01.06.2025)
    “…Phishing detection is considered a critical problem in cybersecurity, and utilising machine learning with an efficient feature selection method for precisely identifying malicious websites is deemed…”
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    Failure mode classification and bearing capacity prediction for reinforced concrete columns based on ensemble machine learning algorithm Autor Feng, De-Cheng, Liu, Zhen-Tao, Wang, Xiao-Dan, Jiang, Zhong-Ming, Liang, Shi-Xue

    ISSN: 1474-0346, 1873-5320
    Vydáno: Elsevier Ltd 01.08.2020
    Vydáno v Advanced engineering informatics (01.08.2020)
    “… In this paper, an intelligent approach is presented for FM classification and bearing capacity prediction of RC columns based on the ensemble machine learning techniques…”
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    Traffic sign recognition based on weighted ELM and AdaBoost Autor Xu, Yan, Wang, Quanwei, Wei, Zhenyu, Ma, Shuo

    ISSN: 0013-5194, 1350-911X, 1350-911X
    Vydáno: The Institution of Engineering and Technology 24.11.2016
    Vydáno v Electronics letters (24.11.2016)
    “…A novel multiclass AdaBoost-based extreme learning machine (ELM) ensemble algorithm is proposed, in which the weighted ELM is selected as the basic weak…”
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    Quantitative Analysis of Major Metals in Agricultural Biochar Using Laser-Induced Breakdown Spectroscopy with an Adaboost Artificial Neural Network Algorithm Autor Duan, Hongwei, Han, Lujia, Huang, Guangqun

    ISSN: 1420-3049, 1420-3049
    Vydáno: Switzerland MDPI AG 18.10.2019
    Vydáno v Molecules (Basel, Switzerland) (18.10.2019)
    “…To promote the green development of agriculture by returning biochar to farmland, it is of great significance to simultaneously detect heavy and nutritional…”
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    An Efficient AdaBoost Algorithm with the Multiple Thresholds Classification Autor Ding, Yi, Zhu, Hongyang, Chen, Ruyun, Li, Ronghui

    ISSN: 2076-3417, 2076-3417
    Vydáno: Basel MDPI AG 01.06.2022
    Vydáno v Applied sciences (01.06.2022)
    “…Adaptive boost (AdaBoost) is a prominent example of an ensemble learning algorithm that combines weak classifiers into strong classifiers through weighted majority voting rules…”
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    AdaBoost ^: An Ensemble Learning Approach for Estimating Weather-Related Outages in Distribution Systems Autor Kankanala, Padmavathy, Das, Sanjoy, Pahwa, Anil

    ISSN: 0885-8950, 1558-0679
    Vydáno: New York IEEE 01.01.2014
    Vydáno v IEEE transactions on power systems (01.01.2014)
    “… This paper proposes an ensemble learning approach based on a boosting algorithm, AdaBoost + , for estimation of weather-caused power outages…”
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