Transcription factor-dependent regulatory networks of sexual reproduction in Fusarium graminearum by Wonyong Kim, Da-Woon Kim, Zheng Wang, Meng Liu, Jeffrey P. Townsend, Frances Trail

“…Using transcriptomic data across stages of sexual development, we inferred a Bayesian network of these TFs that guided experiments to assess the robustness of gene interactions using a systems biology approach. …”
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Joint Distribution pada Weighted Majority Vote (WMV) untuk Peningkatan Kinerja Sentiment Analysis Tersupervisi pada Dataset Twitter by Bagus Setya Rintyarna

“…Penelitian ini menggabungkan kinerja berbagai algoritma/experts seraya mengurangi tingkat kesalahan klasifikasi dengan meng-update bobot secara dinamis menggunakan weighted majority vote (WMV) berbasis joint distribution dari Bayesian Network. Pada tahap pertama, data di grabbing dari Twitter dengan 3 hashtag terkait Covid-19 sebagai data eksperimen. …”
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Study on disaster-causing probability evaluation of gas pipeline in karst area. by Qiaochu Li, Peng Zhang

“…Combined with the advantages of information transmission and updating of the Bayesian network model, the hazard probability of disaster events is gradually calculated from a multi-level perspective. …”
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The Concept of a Method for Predicting the Cascade Effect Under Conditions of Hybrid Warfare by WRÓBLEWSKI Wojciech, WIŚNIEWSKI Michał

“…Using complementary tools such as process analysis, risk assessment, Petri nets, and Bayesian network in the form of the Critical Infrastructure Security Situational Management methodology, the authors provide a comprehensive solution for modeling how to protect the life and health of the civilian population. …”
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A PMBGA to Optimize the Selection of Rules for Job Shop Scheduling Based on the Giffler-Thompson Algorithm by Rui Zhang, Cheng Wu

“…Then, the new generation of individuals is produced by sampling the established Bayesian network. Finally, some elitist individuals are further improved by a special local search module based on parameter perturbation. …”
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Classification of Gastrointestinal Diseases Using Hybrid Recurrent Vision Transformers With Wavelet Transform by Biniyam Mulugeta Abuhayi, Yohannes Agegnehu Bezabh, Aleka Melese Ayalew, Miraf Alemayehu Lakew

“…The classification phase employs an ensemble of four classifiers: support vector machines, Bayesian network, random forest, and logistic regression. …”
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Evaluation Algorithm of Labor Legal Effectiveness for Affirmative Action against Gender Discrimination by Liao Juan

“…Finally, the tree enhanced Bayesian network is used to classify the labor legal effectiveness evaluation indicators, and the correlation between the indicators is determined through the Spearman rank correlation coefficient. …”
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Model-Based Dependability Analysis of Physical Systems with Modelica by Andrea Tundis, Lena Buffoni, Peter Fritzson, Alfredo Garro

“…Furthermore, they allow exporting a Modelica-based system design as a Bayesian Network in order to analyze its dependability by employing a probabilistic approach. …”
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Accident Data-Driven Consequence Analysis in Maritime Industries by Jiahui Shi, Zhengjiang Liu

“…Thirdly, a TAN (Tree Augmented Network)-based BN (Bayesian network) model is developed. Fourthly, a model validation process, including a comparative analysis, Kappa test, and scenario analysis are performed. …”
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Abnormal Event Detection in Wireless Sensor Networks Based on Multiattribute Correlation by Mengdi Wang, Anrong Xue, Huanhuan Xia

“…A dependency model of observed attributes is constructed based on Bayesian network. In this model, the dependency structure of observed attributes is obtained by structure learning, and the conditional probability table of each node is calculated by parameter learning. …”
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Preserving information while respecting privacy through an information theoretic framework for synthetic health data generation by Nadir Sella, Florent Guinot, Nikita Lagrange, Laurent-Philippe Albou, Jonathan Desponds, Hervé Isambert

“…Here, we introduce a novel algorithm (MIIC-SDG) for generating synthetic data from electronic records based on a multivariate information framework and Bayesian network theory. We also propose a new metric to quantitatively assess the trade-off between the Quality and Privacy Scores (QPS) of synthetic data generation methods. …”
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Analysis of Factors Affecting Road Transport Accidents of Hazardous Materials Based on PG-BN by Zewen Li, Mengmeng Zhang

“…To analyze the factors affecting road accidents involving hazardous materials, the Bayesian network (BN) model was used to fit the accident data. …”
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Classification and Analysis of College Students’ Skills Using Hybrid AI Models by Huili Tang, Yanhong Wei

“…The process specifically utilizes the Rasch statistical analysis model and an innovative fuzzy Bayesian network. Higher-level reasoning is generated for the automated and personalized learning process in which college students are automatically classified into a certain category based on their skills.…”
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Comparative safety profile of tyrosine kinase inhibitors in NSCLC: a network meta-analysis of hypertension and thrombotic risks by Mingming Tan, Chenwei Pu, Zhenzhen Wang, Chengwei Jin

“…BackgroundThis study examines the risks of hypertension and thrombotic events in NSCLC patients treated with Tyrosine Kinase Inhibitors (TKIs).ObjectiveTo compare the safety profiles of TKIs used in NSCLC treatment, focusing on hypertension and thrombotic risks.MethodsA comprehensive search identified randomized controlled trials evaluating the effects of TKIs in NSCLC patients. Bayesian network meta-analysis was employed to construct a comparative network of treatments.ResultsThirty studies involving 11,375 patients were included. …”
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Assessment and Classification of Service Learning: A Case Study of CS/EE Students by Han-Ying Kao, Yu-Tseng Wang, Chia-Hui Huang, Pao-Lien Lai, Jen-Yeu Chen

“…Furthermore, this study designs the knowledge model by Bayesian network (BN) classifiers and term frequency-inverse document frequency (TFIDF) for counseling students on the optimal choice of service learning.…”
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Automatic Emergence Detection in Complex Systems by Eugene Santos, Yan Zhao

“…We evaluate our detection performance against a baseline approach (Bayesian Network ensemble) on synthetic testbeds from UCI datasets. …”
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Transitional Grid Maps: Joint Modeling of Static and Dynamic Occupancy by Jose Manuel Gaspar Sanchez, Leonard Bruns, Jana Tumova, Patric Jensfelt, Martin Torngren

“…We formulate the problem as a Bayesian network and introduce minimal assumptions that significantly reduce the complexity of the problem. …”
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A Dynamic Source Tracing Method for Food Supply Chain Quality and Safety Based on Big Data by Jun Song, Hong Huo, Teng Li, Lingyun Chu

“…At first, this paper summarized the variables of food supply chain quality and safety, constructed a Petri net model and a Bayesian network model for food quality prediction and source tracing, and realized the prediction of food quality features. …”
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Temporal and Spatial Distribution Characteristics of NOx Emissions of City Buses on Real Road Based on Spatial Autocorrelation by Qikai Peng, Jiaqiang Li, Yanyan Wang, Longqing Zhao, Jianwei Tan, Chao He

“…To fill the data gaps and produce a complete data set, we combined Bayesian network modeling and probabilistic inference. …”
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Research on the Human Rights and Cultural Protection of Environmentally Displaced Persons under Rising Sea Levels by Rui Xie, Wen-Bo Li, Meng-Chun Lin, Di Lu, Jia-Ming Zhu

“…We have established a Bayesian Network and a Fault Tree Model to demonstrate the improvement brought about by the implementation of policy recommendations from both qualitative and quantitative perspectives and use the method of fault tree analysis to illustrate the importance of policies from the degree of probability reduction after policy changes. …”
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