Algorithm for Cloud Particle Phase Identification Based on Bayesian Random Forest Method by Fu Tao, Yang Zhipeng, Tao Fa, Hu Shuzhen, Lu Yuxiang, Fu Changqing

“…Statistical analysis shows that Bayesian Random Forest Method achieves a cloud particle phase state recognition accuracy of 96% under both rainy and non-rainy weather conditions. …”
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SBCS-Net: Sparse Bayesian and Deep Learning Framework for Compressed Sensing in Sensor Networks by Xianwei Gao, Xiang Yao, Bi Chen, Honghao Zhang

“…This framework innovatively expands the iterative process of sparse Bayesian compressed sensing using convolutional neural networks and Transformer. …”
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Research on Slope Stability Based on Bayesian Gaussian Mixture Model and Random Reduction Method by Jingrong He, Tao Deng, Shouxing Peng, Xing Pang, Daochun Wan, Shaojun Zhang, Xiaoqiang Zhang

“…Slope stability analysis is conventionally performed using the strength reduction method with the proportional reduction in shear strength parameters. …”
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Enhancing stroke-associated pneumonia prediction in ischemic stroke: An interpretable Bayesian network approach by Xingyu Liu, Jiali Mo, Zuting Liu, Yanqiu Ge, Tian Luo, Jie Kuang

“…However, existing predictive models for SAP often lack transparency and interpretability, limiting their clinical utility. …”
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Structural Disorder by Octahedral Tilting in Inorganic Halide Perovskites: New Insight with Bayesian Optimization by Jingrui Li, Fang Pan, Guo‐Xu Zhang, Zenghui Liu, Hua Dong, Dawei Wang, Zhuangde Jiang, Wei Ren, Zuo‐Guang Ye, Milica Todorović, Patrick Rinke

“…The rapid convergence of the PES with about 200 DFT data points in 3D searches demonstrates the power of active learning and strategic sampling with Bayesian optimization. Further analysis indicates that disorder grows with increasing temperature and reveals that the material bandgap at finite temperatures is a statistical mean over disordered structures.…”
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A Physics-Guided Bayesian Neural Network for Sensor Fault Detection in Wind Turbines by MD Azam Khan, Arifur Rahman, Farhad Uddin Mahmud, Kanchon Kumar Bishnu, Hadiur Rahman Nabil, M. F. Mridha, Md. Jakir Hossen

“…Traditional deep learning models for sensor fault detection rely solely on data-driven patterns, often lacking interpretability and robustness. This article proposes a Physics-Guided Bayesian Neural Network (PINN-BNN) model that integrates physics-informed learning with Bayesian inference to improve fault detection in wind turbines. …”
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Accident Diagnosis and Evaluation System in Parking Lots Using Multisource Data Based on Bayesian Networks by Yijing Zhang, Zhan Zhang, Zhenyu Wang, Tongtong Lyu, Xianing Wang, Linjun Lu

“…The mutual information method is used to screen the possible influencing factors before modeling to reduce the subjectivity of Bayesian networks. Studying the cause and effect analysis of accidents provides diagnosis and prediction for property damage and event causes. …”
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Uncertainty-Aware Earthquake Forecasting Using a Bayesian Neural Network with Elastic Weight Consolidation by Changchun Liu, Yuting Li, Huijuan Gao, Lin Feng, Xinqian Wu

“…By performing Bayesian inference, we estimate the posterior distribution of the parameters, thus outputting a reliability analysis of the prediction results. …”
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Fostering cleaner production through the adoption of sustainable maintenance: An umbrella review with a questionnaire-based survey analysis by Marko Orošnjak, Nebojša Brkljač, Kristina Ristić

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Integrating building information modeling and bayesian network for enhanced go/no-go decisions in building demolition projects by T.J.W. Adi, Y.P. Devia, N. Andriyani

“…Traditional approaches often rely on subjective judgment and lack data-driven analysis. This study seeks to create a comprehensive decision-support framework that integrates Building Information Modeling and Bayesian Networks to optimize go or no-go decision processes. …”
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The Prevalence and Molecular Characterization of Bovine Leukemia Virus among Dairy Cattle in Henan Province, China by Yuxi Zhao, Xiaojie Zhu, Zhen Zhang, Jianguo Chen, Yingyu Chen, Changmin Hu, Xi Chen, Ian D. Robertson, Aizhen Guo

“…The geographical annotation of the maximum clade credibility trees suggested that the two genotype 1 strains in Henan might have originated from Japan, while the genotype 7 strain is likely to have originated from Moldova. Subsequent Bayesian stochastic search variable selection analysis further indicated a strong geographical association between the Henan strains and Japan, as well as Moldova. …”
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PolSAR Forest Height Estimation Enhancement With Polarimetric Rotation Domain Features and Multivariate Sensitivity Analysis by Fu-Gen Jiang, Ming-Dian Li, Si-Wei Chen

“…Then, we propose a Bayesian-optimized ensemble learning algorithm to improve the accuracy of forest height estimation. …”
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Probabilistic Prediction Model for Ultimate Conditions Under Compression of FRP-Wrapped Concrete Columns Based on Bayesian Inference by Feng Cao, Ran Zhu, Jun-Xing Zheng, Hai-Bin Huang, Dong Liang

“…Accurate prediction of compressive strength and ultimate strain is essential for reliability analysis and design of such components. However, the existing ultimate condition under compression models lack sufficient prediction accuracy, and the results exhibit significant uncertainty. …”
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Correcting for measurement errors in a long‐term aerial survey with auxiliary photographic data by Jamie L. Brusa, Matthew T. Farr, Joseph Evenson, Emily Silverman, Bryan Murphie, Thomas A. Cyra, Heather J. Tschaekofske, Kyle A. Spragens, Sarah J. Converse

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Waterbody Detection and Reservoir Water Level Prediction Using Bayesian Mixture Models with Sentinel-1 GRD Data by DongHyeon Yoon, Ha-Eun Yu, Euiho Hwang, Ki-mook Kang, Gibeom Nam, Jin-Gyeom Kim

“…In this study, we used a Bayesian mixture model (BMM) to monitor water surface areas and estimate water levels in Yeongcheon Dam through Sentinel-1 synthetic aperture radar (SAR) imagery. …”
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Transrenal DNA-based diagnosis of Strongyloides stercoralis (Grassi, 1879) infection: Bayesian latent class modeling of test accuracy. by Alejandro J Krolewiecki, Artemis Koukounari, Miryam Romano, Reynaldo N Caro, Alan L Scott, Pedro Fleitas, Ruben Cimino, Clive J Shiff

“…Bayesian Latent Class analysis was used to assess the relative performance of the three diagnostic procedures. …”
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Comparison of Bayesian Models to Estimate Survival From Dead‐Recovery Alone and Together With Live‐Encounter Data: Challenges and Opportunities by Michael Schaub, Jaume A. Badia‐Boher

“…An overview of the different formulations, together with an assessment of their parameter accuracy, computational efficiency, and flexibility in covariate modeling, is lacking so far. We assessed 13 models based on data simulation and analysis with the widely used R‐based software NIMBLE and JAGS. …”
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Machine learning prediction of permeability distribution in the X field Malay Basin using elastic properties by Zaky Ahmad Riyadi, John Oluwadamilola Olutoki, Maman Hermana, Abdul Halim Abdul Latif, Ida Bagus Suananda Yogi, Said Jadid A. Kadir

“…The results show that although some elastic properties lack direct correlation with permeability, they still contribute to its prediction. …”
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Early postnatal care uptake and its associated factors following childbirth in East Africa—a Bayesian hierarchical modeling approach by Bewuketu Terefe, Dejen Kahsay Asgedom, Fetlework Gubena Arage, Setognal Birara Aychiluhm, Tadesse Awoke Ayele

“…We used R 4.3.2 software for analysis. We fitted Bayesian multilevel logistic regression models. …”
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Large-scale population trend analysis by integrating migration counts with breeding origin estimates from feather stable isotopes: a case study with Blackpoll Warbler ( Setophaga s... by David T Iles, Erica H Dunn, Steven L. Van Wilgenburg, Kevin J Kardynal, Danielle Ethier, Adam C Smith, Charles M. Francis

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