Suchergebnisse - AdaBoost ensemble learning algorithm

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

“… 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 von Haixiang, Guo, Yijing, Li, Yanan, Li, Xiao, Liu, Jinling, Li

“… 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 von Ramakrishna, Mahesh Thyluru, Venkatesan, Vinoth Kumar, Izonin, Ivan, Havryliuk, Myroslav, Bhat, Chandrasekhar Rohith

“… 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 von Xie, Xiaojin, Luo, Kangyang, Wang, Guoqiang

“… 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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Retracted: Research on Motor Bearing Fault Diagnosis Based on the AdaBoost Algorithm and the Ensemble Learning with Bayesian Optimization in the Industrial Internet of Things von and Communication Networks, Security

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Subway track foundation settlement deformation prediction based on the BiLSTM-AdaBoost model von Dang, Xifeng, Yin, Xiao, Liu, Jianwei, Wu, Jincheng, Wang, Xin, Liu, Yongqiang, Sun, Shoubin

“… 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 von Lin, Nan, Jiang, Ranzhe, Li, Genjun, Yang, Qian, Li, Delin, Yang, Xuesong

“… •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 von Jin, Chao, Li, Geng, Wang, Baorui, Wang, Ziyi, Tian, Yanhong

“… ) 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 von Han, Zhipeng, Chen, Zeyang, Pan, Tinglong, Yang, Weilin, Xu, Dezhi, Wang, Yan

“… 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 von Pan, Shi, Gao, Jipu, Ma, Haoyu, Zhang, Yuanyuan, Bi, Ran, Xin, Mingyong, Wu, Shilin, Hu, Jun

“… 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 von Xie, Xiaojin, Luo, Kangyang, Wang, Guoqiang

“… 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 von Lu, Huijuan, Gao, Huiyun, Ye, Minchao, Wang, Xiuhui

“… 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 von Jahanbani, Maryam, Vahidnia, Mohammad H., Aghamohammadi, Hossein, Azizi, Zahra

“… 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 von Shi, Hanxiao, Wei, Anlei, Zhu, Yaqi, Tang, Kangrong, Hu, Hao, Li, Nan

“… 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 von Al-Hafiz, Ali, Jabir, Adnan, Subramaniam, Shamala

“… 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 von Feng, De-Cheng, Liu, Zhen-Tao, Wang, Xiao-Dan, Jiang, Zhong-Ming, Liang, Shi-Xue

“… 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 von Xu, Yan, Wang, Quanwei, Wei, Zhenyu, Ma, Shuo

“… 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 von Duan, Hongwei, Han, Lujia, Huang, Guangqun

“… 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 von Ding, Yi, Zhu, Hongyang, Chen, Ruyun, Li, Ronghui

“… 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 von Kankanala, Padmavathy, Das, Sanjoy, Pahwa, Anil

“… This paper proposes an ensemble learning approach based on a boosting algorithm, AdaBoost + , for estimation of weather-caused power outages …”
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