Search Results - "Bayesian optimization algorithm"

A rolling bearing fault diagnosis technique based on recurrence quantification analysis and Bayesian optimization SVM by Wang, Bing, Qiu, Wentao, Hu, Xiong, Wang, Wei

“…A rolling bearing fault diagnosis technique is proposed based on Recurrence Quantification Analysis (abbreviated as RQA) and Bayesian optimized Support Vector…”
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A hybrid short-term load forecasting model based on variational mode decomposition and long short-term memory networks considering relevant factors with Bayesian optimization algorithm by He, Feifei, Zhou, Jianzhong, Feng, Zhong-kai, Liu, Guangbiao, Yang, Yuqi

“…•A hybrid load forecasting model with hyper-parameters optimization is proposed.•Nonlinear mapping is introduced to map the relevant factors.•Bayesian…”
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Bayesian optimization algorithm based support vector regression analysis for estimation of shear capacity of FRP reinforced concrete members by Alam, Md Shah, Sultana, N., Hossain, S.M. Zakir

“…The use of fiber-reinforced polymer (FRP) rebars in lieu of steel rebars has led to some deviations in the shear behavior of concrete members. Several methods…”
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A data-driven model for predicting the mixed-mode stress intensity factors of a crack in composites by Zhang, Xinyu, Zhao, Tingting, Liu, Yifan, Chen, Qingqing, Wang, Zhiyong, Wang, Zhihua

“…•Apply Artificial Neural Networks (ANN) for predicting stress intensity factors in heterogeneous composites.•Investigate the significance of parameters through…”
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Residual-corrected TSMixer with a RIME-enhanced decomposition strategy for photovoltaic power prediction by Cao, Lipeng, Shao, Xing, Wang, Cuixiang, Gao, Jun

“…•Proposes a RIME-enhanced two-stage decomposition for deep feature extraction.•Bayesian optimization and residual correction enhance the model’s…”
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State-of-health rapid estimation for lithium-ion battery based on an interpretable stacking ensemble model with short-term voltage profiles by Li, Guanzheng, Li, Bin, Li, Chao, Wang, Shuai

“…Lithium-ion batteries are playing an increasingly important role in industrial applications such as electrical vehicles and energy storage systems. Their…”
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A Bayesian Inferred Health Prognosis and State of Charge Estimation for Power Batteries by Dong, Guangzhong, Shen, Fukang, Sun, Li, Zhang, Mingming, Wei, Jingwen

“…Lithium-ion batteries serve as vital power sources across various industrial sectors, necessitating accurate modeling and state monitoring via battery…”
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An adaptive deep learning model towards fault diagnosis of hydraulic piston pump using pressure signal by Tang, Shengnan, Zhu, Yong, Yuan, Shouqi

“…•An adaptive CNN is constructed for fault diagnosis of hydraulic piston pump.•Intelligent fault diagnosis is based on the ontology representation of…”
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An error-corrected deep Autoformer model via Bayesian optimization algorithm and secondary decomposition for photovoltaic power prediction by Chen, Jie, Peng, Tian, Qian, Shijie, Ge, Yida, Wang, Zheng, Nazir, Muhammad Shahzad, Zhang, Chu

“…Accurate PV power prediction is crucial for stable grid operation and rational dispatch. However, due to the instability of PV power generation, PV power…”
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A Bayesian optimal convolutional neural network approach for classification of coal and gangue with multispectral imaging by Hu, Feng, Zhou, Mengran, Yan, Pengcheng, Liang, Zhe, Li, Mei

“…•Develop a convolutional neural network (CNN) frame for identifying coal and gangue by multispectral imaging.•Compare the recognition effects of multispectral…”
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Predicting polymer properties based on wavelet transform and Transformer by Liu, Zhanjie, Huo, Yixuan, Chen, Wanyi, Zhan, Siqi, Li, Qian, Zhang, Liqun, Cui, Lihong, Liu, Jun

“…[Display omitted] With the rapid development of polymer material design, traditional experimental methods and single-scale molecular characterization face…”
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Globally optimized machine-learning framework for CO2-hydrocarbon minimum miscibility pressure calculations by Huang, Can, Tian, Leng, Zhang, Tianya, Chen, Junjie, Wu, Jianbang, Wang, Hengli, Wang, Jiaxin, Jiang, Lili, Zhang, Kaiqiang

“…•A deep learning CGAN model using adversarial training to more effectively perform CO2–oil MMP prediction.•The Bayesian optimization library in Python for…”
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A stochastic framework using Bayesian optimization algorithm to assess the network-level societal impacts of connected and autonomous vehicles by Fakhrmoosavi, Fatemeh, Kamjoo, Ehsan, Kavianipour, Mohammadreza, Zockaie, Ali, Talebpour, Alireza, Mittal, Archak

“…•Minimizing total system cost including emission, travel time, and technology costs.•Developing a computationally efficient stochastic optimization…”
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Performance degradation prediction method of PEM fuel cells using bidirectional long short-term memory neural network based on Bayesian optimization by Chen, Dongfang, Wu, Wenlong, Chang, Kuanyu, Li, Yuehua, Pei, Pucheng, Xu, Xiaoming

“…Proton exchange membrane (PEM) fuel cell is the core equipment that can directly convert hydrogen energy into electricity. In the process of long-term…”
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Explainable highway performance degradation prediction model based on LSTM by Sun, Xin, Wang, Honglei, Mei, Shilong

“…•Organizing a data matrix of PCI, RDI, RQI, and SRI from highway network in Guizhou.•Forming the method of establishing a multi-output neural network…”
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Robust hybrid decentralized controller design for Voice Coil Actuator-Fast Steering Mirror system in high-precision optical measurements by Liu, Jiabin, Li, Decheng, Chen, Hui

“…The Voice Coil Actuator-Fast Steering Mirror (VCA-FSM) is of significant value in high-precision optical measurement applications. However, the complex…”
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Establishment of icing prediction model of asphalt pavement based on support vector regression algorithm and Bayesian optimization by Yang, Enhui, Yang, Qinlong, Li, Jie, Zhang, Haopeng, Di, Haibo, Qiu, Yanjun

“…•A prediction method for asphalt pavement icing based on SVR algorithm was proposed.•A prediction model was established using the SVR method to analyze icing…”
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Ensemble learning predicts glass-forming ability under imbalanced datasets by Cheng, Duan-jie, Liang, Yong-chao, Pu, Yuan-wei, Chen, Qian

“…The flowchart of this paper is depicted in the figure. In the data preprocessing stage, two data enhancement strategies, WERCS and SMOGN, were employed and the…”
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Lithium Battery State-of-Charge Estimation Based on a Bayesian Optimization Bidirectional Long Short-Term Memory Neural Network by Yang, Biao, Wang, Yinshuang, Zhan, Yuedong

“…State of charge (SOC) is the most important parameter in battery management systems (BMSs), but since the SOC is not a directly measurable state quantity, it…”
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An efficient classification framework for breast cancer using hyper parameter tuned Random Decision Forest Classifier and Bayesian Optimization by P, Pratheep Kumar, V, Mary Amala Bai, Nair, Geetha G.

“…•Kernel Neutrosophic C-Means Clustering is used as Feature Weight.•Allocates greater weights to applicable features and smaller weights to less applicable…”
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