Research on Fault Diagnosis for Pumping Station Based on T-S Fuzzy Fault Tree and Bayesian Network by Zhuqing Bi, Chenming Li, Xujie Li, Hongmin Gao

“…According to the characteristics of fault diagnosis for pumping station, such as the complex structure, multiple mappings, and numerous uncertainties, a new approach combining T-S fuzzy gate fault tree and Bayesian network (BN) is proposed. On the one hand, traditional fault tree method needs the logical relationship between events and probability value of events and can only represent the events with two states. …”
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Bayesian polygenic risk estimation approach to nuclear families with discordant sib-pairs for myelomeningocele. by Adolfo Aguayo-Gómez, Leonora Luna-Muñoz, Yevgeniya Svyryd, Luis Ángel Muñoz-Téllez, Osvaldo M Mutchinick

“…Through a family-based analysis employing the transmission disequilibrium test (TDT) and Bayesian analysis, we assessed risk alleles transmission and calculated conditional probabilities estimating a polygenic risk for MMC. …”
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Reasoning Methods of Unmanned Underwater Vehicle Situation Awareness Based on Ontology and Bayesian Network by Hongfei Yao, Chunsong Han, Fengxia Xu

“…To deal with these problems, this paper proposes an ontology-based situation awareness information expression method, using the Bayesian network method to reason about situation information. …”
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Enhancing ecological uncertainty predictions in pollution control games through dynamic Bayesian updating by Jiangjing Zhou, Ovanes Petrosian, Hongwei Gao

“…Abstract This study presents a dynamic Bayesian game model designed to improve predictions of ecological uncertainties leading to natural disasters. …”
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Quadrant categorization of spillover determinants of sovereign risk of BRICIT nations: a Bayesian approach by Pawan Kumar, Vipul Kumar Singh

Subjects: “…Bayesian global vector autoregression (B-GVAR)…”
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An Assessment of the Utility of a Bayesian Framework to Improve Response Propensity Models in Longitudinal Data by Eliud Kibuchi, Gabriele B Durrant, Olga Maslovskaya, Patrick Sturgis

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Dynamics of global economic growth: a Bayesian exploration of basic and augmented Solow models by Nguyen Thi My Diem, Nguyen Ngoc Thach

Subjects: “…Thoughtful Bayesian non-linear analysis…”
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A New Method for E-Government Procurement Using Collaborative Filtering and Bayesian Approach by Shuai Zhang, Chengyu Xi, Yan Wang, Wenyu Zhang, Yanhong Chen

“…Item-based collaborative filtering and Bayesian approach are used to evaluate and select the candidate services to get the top-M recommendations such that the involved computation load can be alleviated. …”
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Fault Detection in an Electro-Hydrostatic Actuator Using Polyscale Complexity Measures and Bayesian Classification by Soleiman Hosseinpour, Witold Kinsner, Saman Muthukumarana, Nariman Sepehri

Subjects: “…Bayesian classification…”
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Bayesian polygenic risk estimation approach to nuclear families with discordant sib-pairs for myelomeningocele by Adolfo Aguayo-Gómez, Leonora Luna-Muñoz, Yevgeniya Svyryd, Luis Ángel Muñoz-Téllez, Osvaldo M. Mutchinick

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Combining Bayesian Networks and MCDA methods to maximise information gain during reconnaissance in emergency situations by Daniel Lichte

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A Bayesian Best-Worst Method-Based Multicriteria Competence Analysis of Crowdsourcing Delivery Personnel by Longxiao Li, Xu Wang, Jafar Rezaei

“…To illustrate the MCCA approach, a real-world case study is conducted involving a Chinese takeaway delivery platform, where the Bayesian best-worst method is used to determine the weights of the criteria based on the data collected from managers of the platform company. …”
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Bayesian network structure learning by dynamic programming algorithm based on node block sequence constraints by Chuchao He, Ruohai Di, Bo Li, Evgeny Neretin

Subjects: “…Bayesian network (BN)…”
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Uncertainty impact of isotherm models on liquid-phase adsorption thermodynamics: A bayesian inference perspective by Thiago Reschützegger, Nina Paula Gonçalves Salau

“…This study applies a Bayesian approach to assess uncertainties within adsorption models quantitatively and qualitatively. …”
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Probabilistic prediction of aero engine remaining useful life based on Bayesian graph attention transformer by Yanyan HU, Yating BAI

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Bayesian p-curve mixture models as a tool to dissociate effect size and effect prevalence by John P. Veillette, Howard C. Nusbaum

“…We introduce a widely applicable Bayesian method, the p-curve mixture model, that jointly estimates prevalence and effect size by probabilistically clustering participant-level data based on their likelihood under a null distribution. …”
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Receiver design of sparse Bayesian learning based MIMO-OFDM power line communication system by Xinrong LYU, Youming LI, Yongqing WU, Xiaobo TANG

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Vehicular delay tolerant network routing algorithm based on optimized multi-period Bayesian network by Jiagao WU, Yahang GUO, Shenlei CAI, Linfeng LIU

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A Weighted Bayesian Kernel Machine Regression Approach for Predicting the Growth of Indoor-Cultured Abalone by Seung-Won Seo, Gyumin Choi, Ho-Jin Jung, Mi-Jin Choi, Young-Dae Oh, Hyun-Seok Jang, Han-Kyu Lim, Seongil Jo

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Bayesian modeling of HFC production pipeline suggests growth in unreported CFC by-product and feedstock production by Stephen Bourguet, Megan Lickley

“…These emissions have been associated with hydrofluorocarbon (HFC) production, which can require CFCs as feedstocks or generate CFCs as by-products, yet emissions from these pathways have not been rigorously quantified. Here, we develop a Bayesian framework to jointly infer emissions of CFC-113, CFC-114, and CFC-115 during HFC-134a and HFC-125 production. …”
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