Polariton lattices as binarized neuromorphic networks by Evgeny Sedov, Alexey Kavokin

“…In voice recognition, the system achieved a classification accuracy of about 68% for the ten-class subset, surpassing the performance of conventional benchmark, the Hidden Markov Model with Gaussian Mixture Model.…”
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A Protein Sequence Analysis Hardware Accelerator Based on Divergences by Juan Fernando Eusse, Nahri Moreano, Alba Cristina Magalhaes Alves de Melo, Ricardo Pezzuol Jacobi

“…The Viterbi algorithm is one of the most used dynamic programming algorithms for protein comparison and identification, based on hidden markov Models (HMMs). Most of the works in the literature focus on the implementation of hardware accelerators that act as a prefilter stage in the comparison process. …”
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Spectrum allocation algorithm based on multi-agent reinforcement learning in smart grid by Feng YAN, Xiaowei LIN, Zhenghao LI, Xia XU, Weiwei XIA, Lianfeng SHEN

“…In view of the fact that 5G networks are used to meet the service requirements of various power terminals in smart grid, a spectrum allocation algorithm based on multi-agent reinforcement learning was proposed.Firstly, for the integrated access backhaul system deployed in smart grid, considering the different communication requirements of services in lightweight and non-lightweight terminal, the spectrum allocation problem was formulated as a non-convex mixed-integer programming aiming to maximize the overall energy efficiency.Secondly, the above problem was modeled as a partially observable Markov decision process and transformed into a fully cooperative multi-agent problem, then a spectrum allocation algorithm was proposed which was based on multi-agent proximal policy optimization under the framework of centralized training and distributed execution.Finally, the performance of the proposed algorithm was verified by simulation.The results show that the proposed algorithm has a faster convergence speed and can increase the overall transmission rate by 25.2% through effectively reducing intra-layer and inter-layer interference and balancing the access and backhaul link rates.…”
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Dylematy zarządzania marką w klastrach by Barbara Szymoniuk

“…Nazwy te, choć sprawdzają się w procedurze aplikowania, realizacji i kontroli projektów, nie spełniają jednak warunków stawianych dobrym markom rynkowym. Kolejny dylemat zarządzania marką związany jest z kwestią jej udzielania uczestnikom klastra oraz wynika z polskiego prawa podatkowego. …”
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Klasifikasi Kelas Kata (Part-Of-Speech Tagging) untuk Bahasa Madura Menggunakan Algoritme Viterbi by Ilham Firmansyah, Putra Pandu Adikara, Sigit Adinugroho

“…Part-Of-Speech Tagging research on Madurese language using Viterbi algorithm, consists of 3 processes, which are training and testing corpus pre-processing, training the corpus by Hidden Markov Model, and tag classification using Viterbi algorithm. …”
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Automatic Classification of Microseismic Signals Based on MFCC and GMM-HMM in Underground Mines by Pingan Peng, Zhengxiang He, Liguan Wang

“…Therefore, here we present a new method for automatic classification of microseismic signals based on the Gaussian Mixture Model-Hidden Markov Model (GMM-HMM) by using only Mel-frequency cepstral coefficient (MFCC) features extracted from the waveform. …”
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Modified Chen distribution: Properties, estimation, and applications in reliability analysis by M. G. M. Ghazal

“…Bayesian estimates of the model parameters, along with the survival and hazard functions and their corresponding credible intervals, were derived via the Markov chain Monte Carlo method under balanced squared error loss, balanced linear-exponential loss, and balanced general entropy loss. …”
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On the Effect of Estimation Error for the Risk-Adjusted Charts by Sajid Ali, Naila Altaf, Ismail Shah, Lichen Wang, Syed Muhammad Muslim Raza

“…To compute the average run length (ARL), Markov Chain Monte Carlo simulations are conducted. …”
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The development of mathematical model of process of information system monitoring by N. R. Storozhenko, A. I. Goleva

“…With the help of the Markov chains there is developed a mathematical model that considers the dependence of probability of events on time and describes the process of monitoring the faulty parameters of network equipment. …”
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Acoustic Model with Multiple Lexicon Types for Indonesian Speech Recognition by Taufik Fuadi Abidin, Alim Misbullah, Ridha Ferdhiana, Laina Farsiah, Muammar Zikri Aksana, Hammam Riza

“…The time delay neural network (TDNN) was used to build the acoustic model by applying the alignment data from the Gaussian mixture model-hidden Markov model (GMM-HMM). Data augmentation was used to increase the number of validated datasets and enhance the performance of the acoustic model. …”
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Mexique : le défi esthétique de la disparition forcée by Jean-Louis Déotte

“…Les normaliens d’Ayotzinapa dans l’État mexicain du Guerrero qui venaient protester à Iguala contre les liens de la mairie avec les narcos ont été attaqués par la police locale. Quarante-trois d’entre eux sont toujours portés disparus depuis le 26 septembre. …”
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Intelligent interference decision algorithm with prior knowledge embedded LSTM-PPO model by ZHANG Jingke, YANG Kai, LI Chao, WANG Hongyan

“…Firstly, the MFR interference decision problem was regarded as a Markov decision process (MDP). Furthermore, by incorporating prior knowledge associated with the interference domain into the reward function of the PPO model using revenue shaping theory, a reshaped reward function was obtained to guide agent converge quickly so as to improve decision-making efficiency. …”
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A two-layer network model of the evolution of public risk perception of emerging technologies by Xiaqun Liu, Xiaoyue Qiu, Yaming Zhuang

“…The evolutionary threshold of public risk perception is analysed using the microscopic Markov chain approach. The influence of public composition and the spread of risk events on the evolution of risk perception is further verified through a simulation. …”
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Optimal Joint Defense and Monitoring for Networks Security under Uncertainty: A POMDP-Based Approach by Armita Kazeminajafabadi, Mahdi Imani

“…To address these challenges, this paper proposes a partially observable Markov decision process (POMDP) model for network security under uncertainty. …”
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Dynamical Models of Tuberculosis and Their Applications by Carlos Castillo-Chavez, Baojun Song

“…Modelformulations involve a variety of mathematical areas, such as ODEs(Ordinary Differential Equations) (both autonomous andnon-autonomous systems), PDEs (Partial Differential Equations),system of difference equations, system of integro-differentialequations, Markov chain model, and simulation models.…”
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Throughput model of Wi-Fi cascading based on saturated TCP traffic by Junxiong ZHANG, Jianzhao LIU, Xiaohu GE, Weimin WU

“…At present, the importance and commercial value of wireless fidelity (Wi-Fi) technology have been widely recognized.And people are also pursuing better quality of service (QoS).Transmission control protocol (TCP) as a connection-oriented communication protocol that provides end-to-end reliability services, its importance is also increasing, and it is the dominant transmission protocol in the Internet.Besides, since the coverage of a single access point (AP) is limited, it is often necessary to extend the coverage through cascading in many scenarios.However, the current research on cascading scenarios is based on the user datagram protocol (UDP), which means that only downlink traffic exists in the scenario.Actually, uplink and downlink traffic often exist at the same time in many scenarios, which means TCP traffic is running.How to calculate the TCP throughput obtained by users in the cascading scenario has always been an unresolved problem.To solve this problem, firstly, a Wi-Fi throughput model under the condition of saturated TCP traffic was established in the cascading scenario, and the calculation of user throughput was realized through two Markov chains.Secondly, a cascading system was built and actual tests were conducted.The validity of the model is verified by comparing the theoretical simulation results with the actual test results.…”
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Handover algorithm for space-air-ground integrated network based on location prediction model by XIE Jianli, CHEN Long, ZHANG Zepeng, LI Cuiran

“…Based on this model, the SAGIN selection problem was modeled as a Markov decision process. A network handover algorithm utility function characterized by quality of service (QoS) requirements, handover cost, and network load balancing was designed. …”
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Stochastic process-based drought monitoring and assessment system: A temporal switched weights approach for accurate and precise drought determination. by Muhammad Asif Khan, Sergey Barykin, Dmitry Karpov, Nikita Lukashevich, Akram Ochilov, Rizwan Munir

“…As a result, a novel system for meteorological, agricultural, and hydrological droughts based on the Stochastic Process (Markov chain (MC)) has been proposed to address this issue. …”
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Impact of global crisis events on the dependence and risk spillover between gold and crude oil: a regime-switching copula approach by Yuankui Wang, Xiaoquan Ding, Pengwei Wang, Ziwei Huang

“…Gold, recognized as a safe asset, and crude oil, an essential industrial commodity, have attracted the attention of many scholars seeking to understand the impact of such crises on both. On the basis of a Markov regime-switching (MRS) model, copula function, and conditional value at risk (CoVaR) model, this paper proposes an MRS copula CoVaR model to investigate the changes in the level of dependence between these two assets and examine the risk spillover effects between them. …”
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Jump Risk Contagion Under Regime Switching: An Empirical Analysis Based on the CSI 300 Index and the Hang Seng Index by Hongjun Duan, Hui Wang, Yifeng Wang

“…Correspondingly, the Markov regime-switching approach is employed to exhibit the contagion effect of the jump risk in two economic states. …”
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