Risk analysis of public-private partnership waste to energy projects: A systematic literature review by Kurnia Raharja Arif, Hadiyanto Hadiyanto, Maryono Maryono

“…The review identifies financial, technical, environmental, and social risks and highlights the importance of advanced risk assessment models like the 2-Dimension Linguistic Environment and Cloud Model and Bayesian Analytics for better decision-making. Differences in risk perceptions among stakeholders—government, public, and private entities—are examined, emphasizing the need for collaboration and transparency. …”
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Filtering in the presence of information losses based on the extended least squares method by V. M. Artemiev, A. O. Naumov

“…In radar systems for moving objects tracking, there are often gaps in the measurement of coordinates.The problem is mostly fully solved in continuous time in the theory of systems with a random structure within the  framework of  statistical  Bayesian theory of  filtration  in  the  presence  of  complete  a  priori  statistical information. …”
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Emergency Medical Resources Allocation of Periphery for Epidemic Areas: Based on Infectious Diseases Spatial-Temporal Transmission Path by Xuan Zhao, Benhong Peng, Chaoyu Zheng, Anxia Wan

“…First of all, the epidemic spatial-temporal transmission path (STTP) network describing the geographic spread of disease is obtained using a first-order conditional dependence approximation algorithm in a dynamic Bayesian network (DBN). Then, the structural information of the STTP network and the supplies condition characteristic information are combined using the Bipartite network embedding (BiNE) method. …”
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Research on the Bearing Load Measurement Method Based on the Fusion of Redundant Strain Data and Jacking Data by Chengwei Fang, Aihua Liu, Hanhua Zhu, Yibin Deng

“…Secondly, synchronize the measurement of strain data during the jacking phase and fuse the measurement data from the jacking phase based on the Bayesian estimation method to enhance the measurement accuracy of the jack-up method (JM). …”
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The Pricing Strategy of Oligopolistic Competition Food Firms with the Asymmetric Information and Scientific Uncertainty by Li Zhao, Changwei Wang, Xiaohui Peng, Bin Liu, David Ahlstrom

“…The theoretical results show that there are two separating perfect Bayesian equilibria in which the prices of the conventional food and GM food are strategic complements and the profits of two types of firms are both increasing in the price of GM food. …”
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Economic burden of breast cancer in India, 2000–2021 and forecast to 2030 by Rakesh N Pillai, Aleena Alex, Narassima M.S., Vivek Verma, Ajil Shaji, Keechilat Pavithran, D. K. Vijaykumar, Denny John

“…Akaike information criterion (411.54) and Bayesian information criterion (412.53) indicated the ARIMA (0,2,0) model was reliable when analysing our data. …”
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Optimizing Energy Consumption and Latency in IoT Through Edge Computing in Air–Ground Integrated Network With Deep Reinforcement Learning by Vitou That, Kimchheang Chhea, Jung-Ryun Lee

“…The performance of the proposed algorithm is compared to traditional algorithms, including the Whale Optimization Algorithm (WOA), Gradient Search with Barrier, and Bayesian Optimization (BO). Simulation results show that this approach significantly minimizes energy consumption and latency, outperforming conventional optimization methods. …”
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Genetic diversity and population structure of the helminths intermediate host Anentome helena (von dem Busch, 1847) in northern Thailand by Nithinan Chomchoei, Chalobol Wongsawad, Preeyaporn Butboonchoo, Nattawadee Nantarat

“…Seventy-three A. helena specimens were used to examine and re-construct the molecular phylogenetics (neighbour-joining, maximum likelihood, and Bayesian inference methods), genetic diversity, and population structure based on the concatenated datasets of COI and 16S rRNA (1 178 bp). …”
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Design, Fabrication, and Testing of Active Skin Antenna with 3D Printing Array Framework by Jinzhu Zhou, Haitao Li, Le Kang, Baofu Tang, Jin Huang, Zhiheng Cai

“…The antenna skin which consists of the facesheet, honeycomb, array framework, and microstrip antenna elements was designed by using Bayesian optimization, in order to improve the design efficiency. …”
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Application of Big Data Technology in the Impact of Tourism E-Commerce on Tourism Planning by Heqing Zhang, Tingting Guo, Xiaobo Su

“…This paper proposes a research strategy on the impact of tourism e-commerce on customized tourism in the EBD, including related theoretical research methods, random forest algorithms, support vector machine classification algorithms, and Bayesian estimation algorithms, which are used to customize tourism e-commerce in the EBD, and research experiment on the impact of tourism. …”
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Estimation of the High-Frequency Feature Slope in Gravitational Wave Signals from Core Collapse Supernovae Using Machine Learning by Alejandro Casallas-Lagos, Javier M. Antelis, Claudia Moreno, Ramiro Franco-Hernández

“…We conducted an in-depth exploration of the use of different machine learning (ML) for regression algorithms, including Linear, Ridge, LASSO, Bayesian Ridge, Decision Tree, and a variety of Deep Neural Network (DNN) architectures, to estimate the slope of the high-frequency feature (HFF), a prominent emergent feature found in the gravitational wave (GW) signals of core collapse supernovae (CCSN). …”
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Environmental drivers of stream metabolism in a middle TN headwater stream. by Ming Chen, John C Ayers

“…Gross Primary Productivity (GPP) and Ecosystem Respiration (ER) were calculated based on a Bayesian model using the dissolved oxygen (DO) time series approach. …”
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An FMRI meta-analysis of interoception in eating disorders by Nandini Datta, Anna Hughes, Mattia Modafferi, Megan Klabunde

“…To do so, we employed an innovative Bayesian author-topic model approach to fMRI meta-analyses that pools together neural deficits across interoceptive senses and task types in participants with and recovered from EDs. …”
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Estimating the distribution of parameters in differential equations with repeated cross-sectional data. by Hyeontae Jo, Sung Woong Cho, Hyung Ju Hwang

“…RCS data showed that traditional methods for parameter estimation in differential equations, such as using mean values of RCS data over time, Gaussian Process-based trajectory generation, and Bayesian-based methods, have limitations in estimating the shape of parameter distributions, leading to a significant loss of data information. …”
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Exploring Mean Annual Precipitation Values (2003–2012) in a Specific Area (36°N–43°N, 113°E–120°E) Using Meteorological, Elevational, and the Nearest Distance to Coastline Variable... by Fushen Zhang, Zhitao Yang, Shaobo Zhong, Quanyi Huang

“…In this study, four Bayesian maximum entropy (BME) models were compared to estimate the spatial distribution of mean annual precipitation of the selected areas. …”
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Low probability of intercept‐based cooperative node selection and transmit resource allocation for multi‐target tracking in multiple radars architecture by Lintao Ding, Chenguang Shi, Fei Wang, Jianjiang Zhou

“…By incorporating the above controllable parameters, the Bayesian Cramér‐Rao lower bound is calculated and used as the accuracy metric for target tracking. …”
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Sampling with Prior Knowledge for High-dimensional Gravitational Wave Data Analysis by He Wang, Zhoujian Cao, Yue Zhou, Zong-Kuan Guo, Zhixiang Ren

“…This is a particularly profound issue for high-dimensional gravitational wave data analysis where one requires to conduct Bayesian inference and estimate joint posterior distributions. …”
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The interplay of uncertainty, relevance and learning influences auditory categorization by Janaki Sheth, Jared S. Collina, Eugenio Piasini, Konrad P. Kording, Yale E. Cohen, Maria N. Geffen

“…Here, we measured human participants’ performance on a multi-tone categorization task and modeled each participant’s behavior using a Bayesian framework. Task-relevant tones contributed more to category choice than task-irrelevant tones, confirming that participants combined information about sensory features with task relevance. …”
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An Integrated Framework for Mapping Nationwide Daily Temperature in China by Shaobo Zhong, Xinlan Ye, Mingxing Wang, Xin Mei, Dunjiang Song, Wenhui Wang

“…In the second phase, Bayesian maximum entropy (BME) methods were used to produce spatially continuous maps of Ta-mean taking the meteorological station observations as hard data and the predicted Ta-mean in the first phase as soft data. …”
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Modeling the supply chain sustainability imperatives in the fashion retail industry: Implications for sustainable development. by Md Tariqul Islam Imran, Chitra Lekha Karmaker, Rubayet Karim, S M Misbauddin, A B M Mainul Bari, Asif Raihan

“…Focusing on emerging economies like Bangladesh and its fashion retail industry, this methodology synthesizes insights from literature reviews, expert feedback, and Pareto analysis to curate a definitive set of influential imperatives. Finally, the Bayesian Best-Worst Method is applied to examine them. …”
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