Results 1 to 10 of about 67,247 (112)
An Estimation of Ship Collision Risk Based on Relevance Vector Machine
Journal of Marine Science and Engineering, 2021 According to the statistics of maritime collision accidents over the last five years (2016–2020), 95% of the total maritime collision accidents are caused by human factors.
Jinwan Park, Jung-Sik Jeong
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Heat loss evaluation for heating building envelope based on relevance vector machine. [PDF]
PLoS ONEDue to the influence of many factors, there is no reasonable evaluation method for the heat loss evaluation of the envelope, which leads to the deviation of the evaluation results of building energy consumption. By comparing different regression analysis
Jianwei Yue +3 more
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Applied Bionics and Biomechanics, 2021 Estimation of the quality of food products is vital in determining the properties and validity of the food concerning the baking and other manufacturing processes.
Zainab N. Ali +2 more
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Predicting the Loose Zone of Roadway Surrounding Rock Using Wavelet Relevance Vector Machine
Applied Sciences, 2019 By applying the Wavelet Relevance Vector Machine (WRVM) method, this research proposes the loose zone of roadway surrounding rock prediction. Based on the theory of relevance vector machine (RVM), the wavelet function is introduced to replace the ...
Yang Liu +4 more
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A Relevance Vector Machine-Based Approach with Application to Oil Sand Pump Prognostics [PDF]
Sensors, 2013 Oil sand pumps are widely used in the mining industry for the delivery of mixtures of abrasive solids and liquids. Because they operate under highly adverse conditions, these pumps usually experience significant wear.
Peter W. Tse, Jinfei Hu
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A Hybrid SVM-RVM Algorithm to Mechanical Properties in the Friction Stir Welding Process [PDF]
Journal of Applied and Computational Mechanics, 2022 The friction stir welding method is one of the solid-state welding methods for non-homogeneous metals. In this study, the 5XXX series aluminum sample and pure copper are subjected to four passes friction welding process and then the mechanical and ...
Hadi Tagimalek +3 more
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Frontiers in Energy Research, 2021 This work presents an optimized probabilistic modeling methodology that facilitates the modeling of photovoltaic (PV) modules with measured data over a range of environmental conditions.
Jianmin Ban +3 more
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Quality control prediction of electrolytic copper using novel hybrid nonlinear analysis algorithm
Scientific Reports, 2023 Traditional linear regression and neural network models demonstrate suboptimal fit and lower predictive accuracy while the quality of electrolytic copper is estimated. A more dependable and accurate model is essential for these challenges.
Yuzhen Su +5 more
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IEEE Access, 2020 This paper proposes a modified relevance vector machine with slow feature analysis fault classification for industrial processes. Traditional support vector machine classification does not work well when there are insufficient training samples.
Jian Huang +3 more
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Driver Sleepiness Detection Algorithm Based on Relevance Vector Machine
The Baltic Journal of Road and Bridge Engineering, 2021 Driver sleepiness is one of the most important causes of traffic accidents. Efficient and stable algorithms are crucial for distinguishing nonfatigue from fatigue state.
Lingxiang Wei +3 more
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