Reliable Quantized Fuzzy Controller Design for Nonlinear Singularly Perturbed Systems With Markovian Jumps and Dynamic Event Triggered Mechanism by Rabeh Abbassi, Mourad Kchaou, Hamdi Gassara, Houssem Jerbi

“…The proposed approach is based on the following key attributes: 1) An event-triggered mechanism that establishes a suitable condition for independent signal transmission from each sensor node to the controller; 2) A stochastic failure model that describes actuator failures; 3) A non-stationary Markov chain that reflects the asynchronous relationship between the system and controller modes; 4) A mode-dependent Lyapunov function is used to establish sufficient conditions to show that the resultant closed-loop system is stochastically mean-square stable with a <inline-formula> <tex-math notation="LaTeX">$\gamma $ </tex-math></inline-formula> level of <inline-formula> <tex-math notation="LaTeX">$ l_{2}-l_{\infty } $ </tex-math></inline-formula> performance index; 5) The theoretical findings are validated by a real numerical example of the Van Der Pol circuit, confirming the effectiveness of the proposed strategy.…”
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A Triangular Personalized Recommendation Algorithm for Improving Diversity by Biao Cai, Xiaowang Yang, Yusheng Huang, Hongjun Li, Qiang Sang

“…The proposed algorithm combines the Markov chain and collaborative filtering method to make recommendations for users by building a triangle model, making use of the triangulated area. …”
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Probing Cosmic Isotropy with the FAST All Sky H i Survey by Yi-Wen Wu, Jun-Qing Xia

“…\limits^{\unicode{x000b0}}$ 5 <  θ  < 10°. We apply the Markov Chain Monte Carlo method to fit these 2PACFs with a power-law model and assess the statistical significance of the best-fit parameters for the 10 FASHI sky regions by comparing them against results from mock catalogs generated under the assumptions of homogeneity and isotropy. …”
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Spatio-temporal differentiation and influencing factors of high-quality development of agriculture and rural areas in China by Qiyan Ding, Zhen Yang, Zhen Yang, Zhouyu Huang

“…Based on data at the provincial level, this study used the entropy method, Dagum Gini coefficient decomposition, and spatial Markov chain to estimate the spatio-temporal differentiation of high-quality development of agriculture and rural areas (HQDAR) in China from 2008 to 2022. …”
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A Time-Varying Coupling Analysis of Expressway Traffic Volume and Manufacturing PMI by Shuo Sun, Mingchen Gu, Yingping Wang, Rongjie Lin, Lifeng Xing, Zhiyuan Xu

“…The time-varying parameters of TVP-VAR are estimated using the Markov chain Monte Carlo (MCMC) theory. Finally, the model is validated using examples from China. …”
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Uncertainty quantification of CT regularized reconstruction within the Bayesian framework by Negin Khoeiniha, Patricio Guerrero, Wim Dewulf

“…To achieve these goals, we apply a rapid regularized Markov Chain Monte Carlo (MCMC) reconstruction method [4, 5], employing the Metropolis-Adjusted Langevin Algorithm (MALA) [6] and its Lipschitz-adaptive variant (LipMALA) [7]. …”
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Estimating the Relative Risks of Spatial Clusters Using a Predictor–Corrector Method by Majid Bani-Yaghoub, Kamel Rekab, Julia Pluta, Said Tabharit

“…Building on our prior research, we propose a predictive Markov chain model with an embedded corrector component. …”
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Bayesian Approach to Equipartition Estimation of Magnetic Field Strength by Adam A. Zychowicz, Krzysztof T. Chyży

“…In the examples presented, we used two different Markov Chain Monte Carlo methods to generate the posterior distribution of the magnetic field. …”
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EMPIRICAL VERIFICATION OF THE STRUCTURAL MODEL RELATING EQUILIBRIUM VALUES OF COSTS, QUALITY, AND COMFORT OF MEDICAL SERVICES WITH INDIVIDUALIZED ELASTICITIES OF DEMAND by Oleg Klymenyuk, Oleksandr Ocheredko, Volodymyr Klymenyuk, Anastasiia Rudenko

“…The modern Monte Carlo Markov Chain (МСМС) methods of structural modeling and power analysis were used to estimate the required sample size. …”
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Cosmic Chronometers, Pantheon+ Supernovae, and Quasars Favor Coasting Cosmologies over the Flat ΛCDM Model by Peter Raffai, Adrienn Pataki, Rebeka L. Böttger, Alexandra Karsai, Gergely Dálya

“…We used the emcee code for fitting CC data, a custom Markov Chain Monte Carlo implementation for SNe and QSOs, and Anderson–Darling tests for normality on normalized residuals for model comparison. …”
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A novel framework for uncertainty quantification of rainfall–runoff models based on a Bayesian approach focused on transboundary river basins by Thi-Duyen Nguyen, Duc Hai Nguyen, Hyun-Han Kwon, Deg-Hyo Bae

“…By utilizing an adaptive Markov chain Monte Carlo (MCMC) simulation method combined with three comprehensive uncertainty assessment measures, the developed framework focuses on evaluating the uncertainty inherent in RRMs. …”
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Comparison of three recent discrete stochastic inversion methods and influence of the prior choice by Juda, Przemysław, Straubhaar, Julien, Renard, Philippe

“…In this work, we present and compare three recent inverse frameworks: Posterior Population Expansion (PoPEx), Ensemble Smoother with Multiple Data Assimilation (ESMDA), and DREAM-ZS (a Markov chain Monte Carlo sampler). PoPEx and ESDMA are used with Multiple-point statistics (MPS) as geostatistical engines, and DREAM-ZS is used with a Wasserstein generative adversarial network (WGAN). …”
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Supporting Smart Manufacturing in the Space Industry: A Case Study by Ala Arman, Andrea Lombardo, Flavia Monti, Massimo Mecella

“…These strategies are founded on a proposed data analytics approach rooted in Markov chain principles. This approach aids operators in making informed decisions on whether to proceed with additional attempts or discard the insert. …”
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Phylogenetic Analysis of Dengue Virus in Bangkalan, Madura Island, East Java Province, Indonesia by Teguh Hari Sucipto, Tomohiro Kotaki, Kris Cahyo Mulyatno, Siti Churrotin, Amaliah Labiqah, Soegeng Soegijanto, Masanori Kameoka

“…Serotyping was conducted using a multiplex Reverse Transcriptase-Polymerase Chain Reaction and a phylogenetic analysis of E gene sequences was performed using the Bayesian Markov chain Monte Carlo (MCMC) method. 17 out of 359 blood samples (4.7%) were positive for the isolation of DENV. …”
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A New Method of Central Axis Extracting for Pore Network Modeling in Rock Engineering by Xiao Guo, Kairui Yang, Haowei Jia, Zhengwu Tao, Mo Xu, Baozhu Dong, Lei Liu

“…Firstly, digital core was reconstructed by using the Markov Chain Monte Carlo (MCMC) method based on the binary images of a rock cutting plane taken from heavy oil reservoir sandstone. …”
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Use of the LCM Model in the prospective simulation of land use in the Nafoun watershed (Northern Ivory Coast) by Kamagate Anzoumanan, Koffi Ehouman Serge, Koffi Yao Blaise

“…LCM is a module integrated into a Geographic Information System (GIS) and TerrSet geospatial modeling system, assimilated to the Multi- Layer Perceptron (MLP) and the CA_Markov chain for analysis and prediction of land use change and assessment of environmental implications. …”
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Second-line systemic treatment for metastatic colorectal cancer: A systematic review and Bayesian network meta-analysis based on RCT. by Chengyu Sun, Enguo Fan, Luqiao Huang, Zhengguo Zhang

“…<h4>Methods</h4>We searched PubMed, Web of Science, EMBASE, and Cochrane Library for RCTs comparing second-line systemic treatments for mCRC from the inception of each database up to February 3, 2024. Markov Chain Monte Carlo (MCMC) technique was used in this network meta-analysis (NMA) to generate the direct and indirect comparison results among multiple treatments in progression-free survival (PFS), overall response rate (ORR), overall survival (OS), complete response (CR), partial response (PR), grade 3 and above adverse events (Grade ≥ 3AE), and any adverse events (Any AE). …”
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Comparison of Hydrus and iStent microinvasive glaucoma surgery implants in combination with phacoemulsification for treatment of open-angle glaucoma: systematic review and network... by Xiaoyu Wang, Rongrong Hu, Dongyu Guo, Nan Hong, Xiuyuan Xuan

“…The network meta-analysis was conducted within a Bayesian framework using the Markov Chain Monte Carlo method in ADDIS software.Results Six prospective RCTs comprising 1397 patients were identified. …”
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New probabilistic methods for quantitative climate reconstructions applied to palynological data from Lake Kinneret by T. Netzel, A. Miebach, T. Litt, A. Hense

“…To solve this model, we use Markov chain Monte Carlo (MCMC) sampling methods. During the inference process, our new method generates taxa weights and biome climate ranges. …”
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Clinical efficacy of 0.1% cyclosporine A in dry eye patients with inadequate responses to 0.05% cyclosporine A: a switching, prospective, open-label, multicenter study by Sook Hyun Yoon, Eun Chul Kim, In-Cheon You, Chul Young Choi, Jae Yong Kim, Jong Suk Song, Joon Young Hyon, Hong Kyun Kim, Kyoung Yul Seo

“…Statistical analysis was performed on the full analysis set (FAS) using the Markov Chain Monte Carlo (MCMC) method to account for missing data. …”
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