Recognition of Emotions in Mexican Spanish Speech: An Approach Based on Acoustic Modelling of Emotion-Specific Vowels by Santiago-Omar Caballero-Morales

“…For this, a standard phoneme-based Automatic Speech Recognition (ASR) system was built with Hidden Markov Models (HMMs), where different phoneme HMMs were built for the consonants and emotion-specific vowels associated with four emotional states (anger, happiness, neutral, sadness). …”
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Stabilization Strategies of Supply Networks with Stochastic Switched Topology by Shukai Li, Jianxiong Zhang, Wansheng Tang

“…In this paper, a dynamical supply networks model with stochastic switched topology is presented, in which the stochastic switched topology is dependent on a continuous time Markov process. The goal is to design the state-feedback control strategies to stabilize the dynamical supply networks. …”
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Research on Correction Method of Spoken Pronunciation Accuracy of AI Virtual English Reading by Shuli Wang, Xiuchuan Shi

“…Moreover, this paper analyzes the process of speech synthesis with intelligent speech technology, proposes a statistical parametric speech based on hidden Markov chains, and improves the system algorithm to make it an intelligent algorithm that meets the requirements of the correction system of spoken pronunciation accuracy of AI virtual English reading. …”
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Stochastic Stability of Neural Networks with Both Markovian Jump Parameters and Continuously Distributed Delays by Quanxin Zhu, Jinde Cao

“…The jumping parameters are modeled as a continuous-time, finite-state Markov chain. By constructing appropriate Lyapunov-Krasovskii functionals, some novel stability conditions are obtained in terms of linear matrix inequalities (LMIs). …”
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Stability Analysis of a Repairable System with Warning Device and Repairman Vacation by Yangli Ren, Lina Guo, Lingling Zhang

“…This paper considers a simple repairable system with a warning device and a repairman who can have delayed-multiple vacations. By Markov renewal process theory and the probability analysis method, the system is first transformed into a group of integrodifferential equations. …”
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Dynamical Analysis of Dual Product Information Diffusion considering Preference in Complex Networks by Liang’an Huo, Xiaoxiao Xie

“…The dynamic of the model was analyzed by the analysis of Markov chains. According to the Monte Carlo simulation mechanism, the critical threshold of product information was obtained. …”
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Cognitive radio auto-adaptive sensing algorithm based on POMDP by Rui-chen XU, Ting JIANG

“…In order to design an appropriate spectrum sensing mechanism in millisecond spectrum hole environment,the optimal data transmission time of secondary users was derived to maximize the data throughput.Furthermore,in order to exploit the millisecond spectrum holes,an auto-adaptive spectrum sensing algorithm based on POMDP (partially observ-able Markov decision process) was proposed.This algorithm executes spectrum sensing or data transmission action in the current decision epoch based on the belief vector and the observation result in the last decision epoch.Simulation results show that the proposed algorithm can constrain the collision probability between primary users and secondary users,and improve systemic spectrum utilization at the same time.…”
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La política en los bordes del liberalismo. Diferencia, populismo, revolución, emancipación de Benjamín Arditi by César Ulloa Tapia

“… Este libro de teoría política, escrito con un enfoque interdisciplinario, profundiza y amplía la discusión entre el populismo y la democracia, sin el afán de configurar esce¬narios prescriptivos ni normativos, sino más bien de comprender lo que sucede en varios países, en donde la manera de entender y practicar la democracia liberal procedimen¬tal está en proceso de reconfiguración y hay una disputa por la hegemonía entre diversos actores políticos. …”
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Decomposition Methods for Solving Finite-Horizon Large MDPs by Bouchra el Akraoui, Cherki Daoui, Abdelhadi Larach, khalid Rahhali

“…Conventional algorithms for solving Markov decision processes (MDPs) become intractable for a large finite state and action spaces. …”
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Computation offloading and resource allocation strategy based on deep reinforcement learning by Feng ZENG, Zheng ZHANG, Zhigang CHEN

“…In order to expand the coverage and computing power of vehicle edge network, a computation offloading architecture was proposed for space-air-ground integrated vehicle network (SAGVN).With the consideration of the delay and energy consumption constraints of computing tasks, as well as the spectrum, computing and storage constraints in the SAGVN, the joint optimization problem of computation offloading decision and resource allocation was modeled as a mixed integer nonlinear programming problem.Based on the reinforcement learning method, the original problem was transformed into a Markov process, and a deep reinforcement learning algorithm was proposed to solve the problem.The proposed algorithm has the good convergence.The simulation results show that the proposed algorithm outperforms other algorithms in terms of task delay and success rate.…”
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Research on Spectrum Access Mechanism Based on Polling Scheduling by Jin Lu, Ming Huang, Zhijun Yang

“…Based on the analysis method of embedded Markov chain and probability generating function, the key parameters of average queue length, bandwidth utilization and forced termination probability were obtained through solving the stationary distribution of equilibrium state. …”
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Nonlinear Behaviors of Tail Dependence and Cross-Correlation of Financial Time Series Model by Wei Deng, Jun Wang

“…The voter process is a continuous-time Markov process and is one of the interacting dynamic systems. …”
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First Hitting Place Probabilities for a Discrete Version of the Ornstein-Uhlenbeck Process by Mario Lefebvre, Jean-Luc Guilbault

“…A Markov chain with state space {0,…,N} and transition probabilities depending on the current state is studied. …”
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A Bayesian approach to discrete multiple outcome network meta-analysis. by Rebecca Graziani, Sergio Venturini

“…The remaining elements of the hierarchial random effects model are specified in a standard way, with the logit of the success probabilities given by the sum of a baseline log-odds and random effects comparing the log-odds of each treatment against the reference and having a Gaussian distribution centered at the vector of pooled effects. An adaptive Markov Chain Monte Carlo algorithm is devised for running posterior inference. …”
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Community Structure Perception Routing Mecbanism in Intermittently Connected Wireless Network by Fusheng Ji, Hongpei Zhang, Yan Zhang

“…Based on the differences of social relations between nodes,a community structure perception routing mechanism was proposed for the reason of low message delivery probability in intermittently connected wireless network.According to state information of nodes in each movement cycle,Markov models was established to show the state transition process among nodes,further,the centrality of node was obtained.Then considering about the centrality of node and exploiting the method of community label switching,network structure was checked dynamically.Finally,the central node in the community was chosen as the relay node to forward messages.Results show that the proposed method is accurate,and the performance of delivery ratio can be improved 90% approximately,optimizing the network performance greatly.…”
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An Analytical Approach to Opportunistic Transmission under Rayleigh Fading Channels by Yousaf Bin Zikria, Sung Won Kim, Heejung Yu, Seung Yeob Nam

“…Under this model, we develop a generic Markov chain model to obtain the analytical results and verify the effectiveness of the statistical analysis. …”
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Channel estimation method for multi-node amplify-and-forward co-operative communication over frequency-selective fading channels by YAN Kai, DING Sheng, ZHU Ming-hua, LIU Hai-tao

“…Simulation results confirm the performance of the proposed channel estimation method in multi-node AF cooperative communication sce- narios and the superiority of the derived optimal training sequence scheme.…”
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Edge Statistics for Lozenge Tilings of Polygons, II: Airy Line Ensemble by Amol Aggarwal, Jiaoyang Huang

“…To realize this comparison, we require a nearly optimal concentration estimate for the tiling height function, which we establish by exhibiting a certain Markov chain on the set of all tilings that preserves such concentration estimates under its dynamics.…”
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Parameter Estimation on a Stochastic SIR Model with Media Coverage by Changguo Li, Yongzhen Pei, Meixia Zhu, Yue Deng

“…In order to reduce the computational load, the Newton-Raphson algorithm and Markov Chain Monte Carlo (MCMC) technique are incorporated with maximum likelihood estimation. …”
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Least Squares Estimation for Discretely Observed Stochastic Lotka–Volterra Model Driven by Small α-Stable Noises by Chao Wei, Yan Wei, Yingying Zhou

“…The consistency and the rate of convergence of the least squares estimators are proved, and the asymptotic distribution of the estimators are derived by Markov inequality, Cauchy–Schwarz inequality, and Gronwall’s inequality. …”
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