Reliability Analysis of Vehicle Braking System Based on Hyperellipsoidal Dynamic Bayesian Network
Applied SciencesBrake systems are subjected to various factors such as wear and fatigue over a long period of time. They bring a great challenge to the reliability analysis of the braking system.
Yingjie Tian, Jing Wen, Shubin Zheng
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Deep learning technology of Internet of Things Blockchain in distribution network faults
Journal of Intelligent Systems, 2022 Nowadays, the development of human society and daily life are inseparable from the power supply. Therefore, people also put forward higher requirements for the reliability of distribution network, but power companies can only passively deal with ...
Zhang Hong, Li Rui, Shi Chuncheng
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Bayesian Network Model for Epidemiological Data [PDF]
, 2013 This documentation describes the implementation of Bayesian Network on Hiroshima Nagasaki atomic bomb survivor data using R software Bayesian networks a state-of-the art representation of probabilistic knowledge by a graphical diagram has ...
Sagar Baviskar +2 more
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Fault diagnosis of the distribution network based on the D-S evidence theory Bayesian network
Frontiers in Energy ResearchRelay protection rejection and misoperation exist in the existing distribution network, which will affect the fault diagnosis results. To diagnose faults in distribution networks, this paper presents a fault diagnosis method for the distribution network ...
Xiaogang Wu +5 more
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Evaluation of a Bayesian inference network for ligand-based virtual screening
Journal of Cheminformatics, 2009 Background Bayesian inference networks enable the computation of the probability that an event will occur. They have been used previously to rank textual documents in order of decreasing relevance to a user-defined query.
Chen Beining +2 more
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High-Dimensional Bayesian Network Inference From Systems Genetics Data Using Genetic Node Ordering
Frontiers in Genetics, 2019 Studying the impact of genetic variation on gene regulatory networks is essential to understand the biological mechanisms by which genetic variation causes variation in phenotypes. Bayesian networks provide an elegant statistical approach for multi-trait
Lingfei Wang +6 more
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Development of a smart system for gasoline car emissions diagnosis using Bayesian Network
Jurnal Ilmiah SINERGI, 2023 A vehicle exhaust emissions test is an activity carried out to determine the content of the remaining combustion products that occur in the fuel in the vehicle engine. Many people do not understand exhaust gas content from emission tests, so to make this
Dedik Romahadi +3 more
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Bayesian fusion of hidden Markov models for understanding bimanual movements [PDF]
, 2004 Understanding hand and body gestures is a part of a wide spectrum of current research in computer vision and human-computer interaction. A part of this can be the recognition of movements in which the two hands move simultaneously to do something or ...
A. Sutherland +5 more
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Using topological data analysis for building Bayesan neural networks
Научно-технический вестник информационных технологий, механики и оптикиFor the first time, a simplified approach to constructing Bayesian neural networks is proposed, combining computational efficiency with the ability to analyze the learning process.
A. S. Vatian +4 more
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Determining the probability of cyanobacterial blooms: the application of Bayesian networks in multiple lake systems [PDF]
, 2015 A Bayesian network model was developed to assess the combined influence of nutrient conditions and climate on the occurrence of cyanobacterial blooms within lakes of diverse hydrology and nutrient supply.
Brookes, Justin D. +41 more
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