Výsledky vyhľadávania - 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
    Vydavateľské údaje: London Hindawi 18.07.2022
    Vydané 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
    Vydavateľské údaje: 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
    Vydavateľské údaje: Switzerland MDPI AG 29.01.2023
    Vydané 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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    A New L₁ Multi-Kernel Learning Support Vector Regression Ensemble Algorithm With AdaBoost Autor Xie, Xiaojin, Luo, Kangyang, Wang, Guoqiang

    ISSN: 2169-3536
    Vydavateľské údaje: IEEE 2022
    Vydané 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
    Vydavateľské údaje: IOP Publishing 01.06.2024
    Vydané 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
    Vydavateľské údaje: Elsevier Ltd 01.10.2022
    Vydané 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
    Vydavateľské údaje: 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

    Vydavateľské údaje: 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

    Vydavateľské údaje: 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
    Vydavateľské údaje: Piscataway The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022
    Vydané 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
    Vydavateľské údaje: 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
    Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2024
    Vydané 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
    Vydavateľské údaje: England Elsevier Ltd 01.12.2024
    Vydané 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
    Vydavateľské údaje: Al-Khwarizmi College of Engineering – University of Baghdad 01.06.2025
    Vydané 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
    Vydavateľské údaje: Elsevier Ltd 01.08.2020
    Vydané 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
    Vydavateľské údaje: The Institution of Engineering and Technology 24.11.2016
    Vydané 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
    Vydavateľské údaje: Switzerland MDPI AG 18.10.2019
    Vydané 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
    Vydavateľské údaje: Basel MDPI AG 01.06.2022
    Vydané 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
    Vydavateľské údaje: New York IEEE 01.01.2014
    Vydané 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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