Multipartition clustering of mixed data with Bayesian networks
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22770
Abstract: Real‐world applications often involve multifaceted data with several reasonable interpretations. To cluster this data, we need methods that are able to produce multiple clustering solutions. To this purpose, it is interesting to learn a finite… read more here.
Keywords: clustering mixed; data bayesian; bayesian networks; mixed data ... See more keywords
Corrected score methods for estimating Bayesian networks with error-prone nodes.
Sign Up to like & getrecommendations! Published in 2021 at "Statistics in medicine"
DOI: 10.1002/sim.8925
Abstract: Motivated by inferring cellular signaling networks using noisy flow cytometry data, we develop procedures to draw inference for Bayesian networks based on error-prone data. Two methods for inferring causal relationships between nodes in a network… read more here.
Keywords: bayesian networks; corrected score; methods estimating; error prone ... See more keywords
Maintenance process modeling and dynamic estimations based on Bayesian networks and association rules
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Software: Evolution and Process"
DOI: 10.1002/smr.2163
Abstract: Managing the maintenance process and estimating accurately the effort and duration required for a new release is considered to be a crucial task as it affects successful software project survival and progress over time. In… read more here.
Keywords: association rules; project; bayesian networks; process ... See more keywords
On the Use of Bayesian Networks for Real-Time Urban Traffic Measurements: a Case Study with Low-Cost Devices
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Signal Processing Systems"
DOI: 10.1007/s11265-020-01601-7
Abstract: This paper describes a low cost computer vision system able to obtain traffic metrics at urban intersections. The proposed system is based on a Bayesian network based reasoning model. It employs the data extracted from… read more here.
Keywords: traffic; system; use bayesian; bayesian networks ... See more keywords
A Dynamic-Bayesian-Networks-Based Resilience Assessment Approach of Structure Systems: Subsea Oil and Gas Pipelines as A Case Study
Sign Up to like & getrecommendations! Published in 2020 at "China Ocean Engineering"
DOI: 10.1007/s13344-020-0054-0
Abstract: Under unanticipated natural disasters, any failure of structure components may cause the crash of an entire structure system. Resilience is an important metric for the structure system. Although many resilience metrics and assessment approaches are… read more here.
Keywords: resilience assessment; bayesian networks; resilience; structure ... See more keywords
An augmented EM algorithm for monotonic Bayesian networks using parameterized conditional probability tables
Sign Up to like & getrecommendations! Published in 2021 at "Behaviormetrika"
DOI: 10.1007/s41237-021-00134-y
Abstract: Bayesian networks offer an attractive framework for describing the relationship between latent proficiency variables and observable outcomes. In educational applications, it is useful to restrict the conditional probability tables of the Bayesian network to be… read more here.
Keywords: probability tables; conditional probability; algorithm monotonic; augmented algorithm ... See more keywords
Diagnostic Bayesian networks for diagnosing air handling units faults – part I: Faults in dampers, fans, filters and sensors
Sign Up to like & getrecommendations! Published in 2017 at "Applied Thermal Engineering"
DOI: 10.1016/j.applthermaleng.2015.09.121
Abstract: Abstract Faults in air handling units (AHUs) affect the building energy efficiency and indoor environmental quality significantly. There is still a lack of effective methods for diagnosing AHU faults automatically. In this study, a diagnostic… read more here.
Keywords: diagnostic bayesian; bayesian networks; handling units; air handling ... See more keywords
Integrating Bayesian Networks into ecosystem services assessment to support water management at the river basin scale
Sign Up to like & getrecommendations! Published in 2021 at "Ecosystem services"
DOI: 10.1016/j.ecoser.2021.101300
Abstract: Abstract Freshwater ecosystems are negatively affected by climate change and human interventions modifying together supply and demand of ecosystem services (ES). Research on ES focused on assessing risks arising from the interaction among both stressors,… read more here.
Keywords: management; water; bayesian networks; river basin ... See more keywords
Using Bayesian networks for environmental health risk assessment.
Sign Up to like & getrecommendations! Published in 2021 at "Environmental research"
DOI: 10.1016/j.envres.2021.112059
Abstract: The study investigated the potential relationships between air pollution, socio-economy, and proven pathologies (e.g., respiratory, cardiovascular) within an industrial area in Southern France (Etang de Berre), gathering steel industries, oil refineries, shipping, road traffic and… read more here.
Keywords: networks environmental; years old; bayesian networks; using bayesian ... See more keywords
Effluent quality prediction in papermaking wastewater treatment processes using dynamic Bayesian networks
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Cleaner Production"
DOI: 10.1016/j.jclepro.2020.125396
Abstract: Abstract Effective online modeling of papermaking wastewater treatment processes (WWTPs) is an important means to ensure wastewater recycling and harmless discharge. A composite model integrating variable importance in projection with dynamic Bayesian networks (VIP-DBN) is… read more here.
Keywords: bayesian networks; wastewater; treatment processes; wastewater treatment ... See more keywords
Reliability analysis based on dynamic Bayesian networks: A case study of an unmanned surface vessel
Sign Up to like & getrecommendations! Published in 2021 at "Ocean Engineering"
DOI: 10.1016/j.oceaneng.2021.109970
Abstract: Abstract Unmanned surface vessels (USVs) have been widely used in various activities to date. Reliability is particularly significant for USVs because of the increasing complexity of USV tasks and their characteristic that cannot be repaired… read more here.
Keywords: based dynamic; dynamic bayesian; analysis; bayesian networks ... See more keywords