MARKOV ANALİZİ İLE İNSAN GÜCÜ PLANLAMASI by Erkan Köse, Mehmet Kabak, Tolga Genç

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A Bayesian model for binary Markov chains by Souad Assoudou, Belkheir Essebbar

“…This note is concerned with Bayesian estimation of the transition probabilities of a binary Markov chain observed from heterogeneous individuals. …”
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Effect of Size on the Stability of Narrow Foundation Pits by Caihao He, Yi Lu, Yanlu Yang

“…The traditional design method for narrow foundation pits ignores size effects. Engineering practice shows that this is too conservative and causes large-scale waste. …”
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Kinetic Coefficients for Mixed Adsorbate Fluids in Narrow Pores by Yu.K. Tovbin, A.B. Rabinovich, D.V. Yeremich

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Narrowing the gender gap: Will Indian rheumatology pave the way? by Benzeeta Pinto, K M Mahendranath

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Anatomy Ontology Matching Using Markov Logic Networks by Chunhua Li, Pengpeng Zhao, Jian Wu, Zhiming Cui

“…Ontology matching is a kind of solutions to find semantic correspondences between entities of different ontologies. Markov logic networks which unify probabilistic graphical model and first-order logic provide an excellent framework for ontology matching. …”
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Integration by Parts and Martingale Representation for a Markov Chain by Tak Kuen Siu

“…Integration-by-parts formulas for functions of fundamental jump processes relating to a continuous-time, finite-state Markov chain are derived using Bismut's change of measures approach to Malliavin calculus. …”
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Neural network decoding of the block Markov superposition transmission by Qianfan WANG, Sheng BI, Zengzhe CHEN, Li CHEN, Xiao MA

“…A neural network (NN)-based decoding algorithm of block Markov superposition transmission (BMST) was researched.The decoders of the basic code with different network structures and representations of training data were implemented using NN.Integrating the NN-based decoder of the basic code in an iterative manner,a sliding window decoding algorithm was presented.To analyze the bit error rate (BER) performance,the genie-aided (GA) lower bounds were presented.The NN-based decoding algorithm of the BMST provides a possible way to apply NN to decode long codes.That means the part of the conventional decoder could be replaced by the NN.Numerical results show that the NN-based decoder of basic code can achieve the BER performance of the maximum likelihood (ML) decoder.For the BMST codes,BER performance of the NN-based decoding algorithm matches well with the GA lower bound and exhibits an extra coding gain.…”
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Stability of Geometrically Recurrent Time-inhomogeneous Markov Chains by Vitaliy Golomoziy

“…This paper is devoted to establishing upper bounds for a difference of n-step transition probabilities for two time-inhomogeneous Markov chains with values in a locally compact space when their one-step transition probabilities are close. …”
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Nonlinear stochastic Markov processes and modeling uncertainty in populations by H.Thomas Banks, Shuhua Hu

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Internet worm propagation model based on Markov chain by HOUHan-xun Z, UOWei G, IUJian L, IADa-yu J

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ADAPTIVE LEARNING OF HIDDEN MARKOV MODELS FOR EMOTIONAL SPEECH by A. V. Tkachenia

“…An on-line unsupervised algorithm for estimating the hidden Markov models (HMM) parame-ters is presented. The problem of hidden Markov models adaptation to emotional speech is solved. …”
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A Markov Chain Approach to Randomly Grown Graphs by Michael Knudsen, Carsten Wiuf

“…A Markov chain approach to the study of randomly grown graphs is proposed and applied to some popular models that have found use in biology and elsewhere. …”
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Analysis of Investment Returns as Markov Chain Random Walk by Felix Okoe Mettle, Emmanuel Kojo Aidoo, Carlos Oko Narku Dowuona, Louis Agyekum

“…The main objective of this paper is to analyse investment returns using a stochastic model and inform investors about the best stock market to invest in. To this effect, a Markov chain random walk model was successfully developed and implemented on 450 monthly market returns data spanning from January 1976 to December 2020 for Canada, India, Mexico, South Africa, and Switzerland obtained from the Federal Reserves of the Bank of St. …”
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Cache prefetching strategy based on selective Markov model by CAI Wei-hong1, XIAO Shui2, WEI Gang1, XIONG Zhi2, HUANG Min-hua2

Subjects: “…selective Markov model…”
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Rational secret sharing scheme based on Markov decision by You-liang TIAN, Xue-mei WANG, Lin-fang LIU

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Estimating the Basal Heave Stability of Narrow Braced Excavations by Taoli Xiao, Yanlu Yang, Hua Cai, Shaoxin Yan, Fang Cao

“…Engineering practices indicate that narrow braced excavation exhibits a clear size effect. …”
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Hidden Markov Model-Based Video Recognition for Sports by Zhiyuan Wang, Chongyuan Bi, Songhui You, Junjie Yao

“…In this paper, we conduct an in-depth study and analysis of sports video recognition by improved hidden Markov model. The feature module is a complex gesture recognition module based on hidden Markov model gesture features, which applies the hidden Markov model features to gesture recognition and performs the recognition of complex gestures made by combining simple gestures based on simple gesture recognition. …”
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Peran Narrow Band-Imaging pada Karsinoma Nasofarings by Priyanto ., Camelia Herdini

“…This creates on better opportunity of clinician to do more invasive diagnostic testing at earlier stage of the cancer.<br />Keywords:Narrow Band-Imaging, Nasopharyngeal carcinoma, Endoscopy</p>…”
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Narrow-Gap Semiconductors and Low-Dimensional Structures for Optoelectronic Applications by Fangyu Yue, Satyabrata Jit, Weida Hu

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