Results 31 to 40 of about 529,167 (319)
Role of Knowledge in Water Crisis Management: A Bayesian Network Model Approach [PDF]
Environmental Resources Research, 2021 Water is one of the critical natural resources in the world and one of the scarce inputs of the agriculture sector in arid and semi-arid areas, including Iran. Consecutive droughts, lower groundwater levels, and lower water quality are among the concerns
Sona Pouralimoghaddam +3 more
doaj +1 more source
Bayesian Policy Gradients via Alpha Divergence Dropout Inference
, 2011 Policy gradient methods have had great success in solving continuous control tasks, yet the stochastic nature of such problems makes deterministic value estimation difficult.
Henderson, Peter +3 more
core +3 more sources
Cyclic Bayesian Attack Graphs: A Systematic Computational Approach
, 2020 Attack graphs are commonly used to analyse the security of medium-sized to large networks. Based on a scan of the network and likelihood information of vulnerabilities, attack graphs can be transformed into Bayesian Attack Graphs (BAGs).
Mace, John +3 more
core +1 more source
Grid Quality of Service Trustworthiness Evaluation Based on Bayesian Network
IEEE Access, 2020 Quality of Service (QoS) is applied to evaluate the satisfaction level of users using a service and it is a measure and evaluation of the service level of service providers.
Yiling Huang
doaj +1 more source
Predicting Facial Biotypes Using Continuous Bayesian Network Classifiers
Complexity, 2018 Bayesian networks are useful machine learning techniques that are able to combine quantitative modeling, through probability theory, with qualitative modeling, through graph theory for visualization.
Gonzalo A. Ruz, Pamela Araya-Díaz
doaj +1 more source
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
doaj +1 more source
Opinion Dynamics with Bayesian Learning
Complexity, 2020 Bayesian learning is a rational and effective strategy in the opinion dynamic process. In this paper, we theoretically prove that individual Bayesian learning can realize asymptotic learning and we test it by simulations on the Zachary network.
Aili Fang +3 more
doaj +1 more source
FEBS Open Bio, EarlyView.Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young +7 more
wiley +1 more source
Journal of Open Source SoftwareThe R package abn is a comprehensive tool for Bayesian Network (BN) analysis, a form of probabilistic graphical model. BNs are a type of statistical model that leverages the principles of Bayesian statistics and graph theory to provide a framework for representing complex multivariate data.
Delucchi, Matteo +3 more
openaire +2 more sources
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
doaj +1 more source