Monitoring and Simulation of Dynamic Spatiotemporal Land Use/Cover Changes by Andong Guo, Yuqing Zhang, Qing Hao

“…In this study, we preprocessed multiperiod land use and socioeconomic data, combined with spatial zoning, multilayer perception (MLP) artificial neural network, and Markov chain (MC), to construct a cellular automaton model of spatial zoning. …”
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Building resilience: A holistic approach for revitalizing existing infrastructure assets by Ahmed Gouda Mohamed, Farah Alashkar, Akinsanmi Sheriff Akindeinde, Ahmed Osama Daoud

“…The developed approach incorporates asset hierarchy and classification, condition assessment via pilot survey, Markov chain model for degradation anticipation, stakeholder perception analysis through questionnaires for comparative analysis, and constructing an optimization model for fund allocation. …”
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Experimental evaluation of DC-DC buck converter based on adaptive fuzzy fast terminal synergetic controller by Zahira Anane, Badreddine Babes, Noureddine Hamouda, Omar Fethi Benaouda, Saud Alotaibi, Thabet Alzahrani, Dessalegn Bitew Aeggegn, Sherif S. M. Ghoneim

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Distributed Compressed Video Sensing in Camera Sensor Networks by Yu Liu, Xuqi Zhu, Lin Zhang, Sung Ho Cho

“…The DCVS scheme using SI-BP is designed over two frame signal models, the mixture Gaussian (MG) model and the wavelet hidden Markov tree (WHMT) model. Simulation results evaluated on two video sequences illustrate that the SI-BP-based DCVS scheme is error resilient when the measurements are transmitted through the noisy wireless channels.…”
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Does Investor Sentiment Influence South African ETF Flows During Different Market Conditions? by Paidamoyo Aurleen Shenjere, Sune Ferreira-Schenk, Fabian Moodley

“…For a more complex understanding of how sentiment evolved and influenced market regimes, the Markov regime-switching model was integrated with Principal Component Analysis. …”
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INFLUENCE OF NON-LIFE INSURANCE SECTOR CLAIMS SETTLEMENT ON THE INCREASE OF TOTAL ASSETS IN NIGERIA'S INSURANCE MARKET (2000 TO 2022) by SOLOMON DAVID PERE, JOSIAH BOLOU-OWEI EDIKE

“…The data set utilized for this research is secondary data, consisting of 22 years' yearly series of chosen variables from 2000 to 2022, obtained from the Central Bank of Nigeria (CBN) and the NAICOM statistics bulletin. The study used the Philip-Perron (PP) unit root test and the Ordinary least squares (multiple regressions) method with the E-view package to calculate the coefficient of the independent variable, non-life insurance claims settlement, on the total assets of the insurance industry as dependent variables. …”
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Measuring Spatial Expansion of Tehran Metropolis and its Impact on Environmental Changes by Asghar Teymouri, Jamileh Tavakolinia, Abolfazl Meshkini

“…Be it. The results of the Markov Chain Model prediction of the probability of land use changes and land cover up to 1405 also indicate that land use and land cover changes will continue in favor of constructed lands. …”
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Estimation for Akshaya Failure Model with Competing Risks under Progressive Censoring Scheme with Analyzing of Thymic Lymphoma of Mice Application by Tahani A. Abushal, Jitendra Kumar, Abdisalam Hassan Muse, Ahlam H. Tolba

“…The Bayes estimate is obtained by using the Markov Chain Monte Carlo (MCMC) method under symmetric and asymmetric loss functions. …”
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Unsupervised SAR Image Segmentation Based on a Hierarchical TMF Model in the Discrete Wavelet Domain for Sea Area Detection by Jiajing Wang, Shuhong Jiao, Lianyang Shen, Zhenyu Sun, Lin Tang

“…The recently proposed triplet Markov field (TMF) model has been successfully used for segmentation of nonstationary SAR images. …”
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Determining Parameters of Metal-Halide Perovskites Using Photoluminescence with Bayesian Inference by Manuel Kober-Czerny, Akash Dasgupta, Seongrok Seo, Florine M. Rombach, David P. McMeekin, Heon Jin, Henry J. Snaith

“…In this work, we demonstrate that time-resolved photoluminescence data of metal halide perovskites can be effectively evaluated by combining Bayesian inference with a Markov-chain Monte-Carlo algorithm and a physical model. …”
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Fault Diagnosis of Bearings with Small Sample Size Using Improved Capsule Network and Siamese Neural Network by Jarula Yasenjiang, Yang Xiao, Chao He, Luhui Lv, Wenhao Wang

“…Multi-view data partitioning is used to enrich data diversity, and Markov transformation converts one-dimensional vibration signals into two-dimensional images, enhancing the visualization of signal features. …”
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Closed Loop Finite Element Modeling of Piezoelectric Smart Structures by Guang Meng, Lin Ye, Xing-jian Dong, Ke-xiang Wei

“…Based on the structure responses determined by finite element method, a modern system identification technique known as Observer/Kalman filter Identification (OKID) technique is used to determine the system Markov parameters. The Eigensystem Realization Algorithm (ERA) is then employed to develop an explicit state space model of the equivalent linear system for control law design. …”
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Frequentist and Bayesian Approaches in Modeling and Prediction of Extreme Rainfall Series: A Case Study from Southern Highlands Region of Tanzania by Erick A. Kyojo, Silas S. Mirau, Sarah E. Osima, Verdiana G. Masanja

“…Three estimation methods–L-moments, maximum likelihood estimation (MLE), and Bayesian Markov chain Monte Carlo (MCMC)–were employed to estimate GEV parameters and future return levels. …”
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Brain MRI Segmentation with Multiphase Minimal Partitioning: A Comparative Study by Elsa D. Angelini, Ting Song, Brett D. Mensh, Andrew F. Laine

“…A clinical study was performed on a database of 10 adult brain MRI volumes to compare the level set segmentation to three other methods: “idealized” intensity thresholding, fuzzy connectedness, and an expectation maximization classification using hidden Markov random fields. Quantitative evaluation of segmentation accuracy was performed with comparison to manual segmentation computing true positive and false positive volume fractions. …”
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Cognitive Emotional Regulation Model in Human-Robot Interaction by Xin Liu, Lun Xie, Anqi Liu, Dan Li

“…This paper integrated Gross cognitive process into the HMM (hidden Markov model) emotional regulation method and implemented human-robot emotional interaction with facial expressions and behaviors. …”
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Modeling and Optimization of Multiaction Dynamic Dispatching Problem for Shared Autonomous Electric Vehicles by Ning Wang, Jiahui Guo

“…To model the decision-making process of AMoD system and optimize multiaction dynamic dispatching of SAEVs over a long horizon, the dispatching problem of SAEVs is modeled according to Markov Decision Process (MDP) at first. Then two optimization models from short-sighted view and farsighted view based on combinatorial optimization theory are built, respectively. …”
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A New Coupled Awareness-Epidemic Spreading Model with Neighbor Behavior on Multiplex Networks by Chao Zuo, Anjing Wang, Fenping Zhu, Zeyang Meng, Xueke Zhao

“…According to the microscopic Markov chain approach (MMCA), we analyze the dynamical evolution of the system and derive the theoretical epidemic threshold on uncorrelated heterogeneous networks, and then, we validate the analysis by numerical simulation and discuss the final size of awareness diffusion and epidemic spreading on a scale-free network. …”
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A cooperative jamming decision-making method based on multi-agent reinforcement learning by Bingchen Cai, Haoran Li, Naimin Zhang, Mingyu Cao, Han Yu

“…The cooperative jamming decision-making process is then modeled as a Markov game, where the QMix multi-agent reinforcement learning algorithm is innovatively applied to handle inter-jammer cooperation. …”
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The mediating role of parental attachment in the relationship between parenting styles and identity achievement among secondary and preparatory school students by Shimelis Anley Tizazu, Demeke Wolle Ambaye

“…To this purpose, 375 adolescent students were drawn from four secondary and preparatory schools in Debre Markos town using proportional stratified sampling technique. …”
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A Distance-Aware Safety-Related Message Broadcasting Algorithm for Vehicular Networks by Xiaohuan Li, Bin-jie Hu, Hongbin Chen, Jin Ye

“…Performance of the proposed algorithm is analyzed by using a 2D Markov chain. Analytical and simulation results demonstrate that the proposed algorithm can enhance the performance of safety-related message broadcasting in terms of propagation distance, which is reflected by the successful transmission probability. …”
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