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Péter Marjai, Bence Szabari and Attila Kiss
Graphs can be found in almost every part of modern life: social networks, road networks, biology, and so on. Finding the most important node is a vital issue. Up to this date, numerous centrality measures were proposed to address this problem; however, e...
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Hesheng Tang, Xueyuan Guo, Liyu Xie and Songtao Xue
The uncertainty in parameter estimation arises from structural systems? input and output measured errors and from structural model errors. An experimental verification of the shuffled complex evolution metropolis algorithm (SCEM-UA) for identifying the o...
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Parag C. Pendharkar
This paper proposes a genetic algorithm-based Markov Chain approach that can be used for non-parametric estimation of regression coefficients and their statistical confidence bounds. The proposed approach can generate samples from an unknown probability ...
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Hong Gao, Chaomin Mu and Hui Sun
In view of the inconsistency of guided wave energy in distributed acoustic sensing coal mine maps and the difficulty in distinguishing the vibration levels of coal mines, which leads to the poor sensitivity and accuracy of microseism detection, a coal mi...
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Byron J. Idrovo-Aguirre, Francisco J. Lozano and Javier E. Contreras-Reyes
In this paper, we approached the concept of real estate bubble, analyzing the risk its bursting could generate for the Chilean financial market. Specifically, we analyzed the relationship between real housing prices, the economic activity index, and mort...
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Juri Hinz
In industrial applications, the processes of optimal sequential decision making are naturally formulated and optimized within a standard setting of Markov decision theory. In practice, however, decisions must be made under incomplete and uncertain inform...
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Reem Ahmed, Tarek Zayed and Fuzhan Nasiri
Healthcare facilities are constantly deteriorating due to tight budgets allocated to the upkeep of building assets. This entails the need for improved deterioration modeling of such buildings in order to enforce a predictive maintenance approach that dec...
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Oleg Rudenko,Oleksandr Bezsonov,Oleh Lebediev,Nataliia Serdiuk
Pág. 44 - 52
The problem of identification of non-stationary parameters of a linear object, which can be described by the first-order Markov model, with non-Gaussian interference is considered. The identification algorithm is a gradient minimization procedure of the ...
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Juan Li, Qinglian He, Hang Zhou, Yunlin Guan and Wei Dai
Intersections are one of the major locations where safety is a big concern to drivers. Inappropriate driver behaviors in response to frequent changes when approaching intersections often lead to intersection-related crashes or collisions. Thus to better ...
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Yong Zhai, Jin Liu, Juan Du and Hao Wu
In order to improve the dynamic optimization of fleet size and standardized management of dockless bike-sharing, this paper focuses on using the Markov stochastic process and linear programming method to solve the problem of bike-sharing fleet size and r...
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Tribeni C. Sharma and Umed S. Panu
On a global basis, there is trend that a majority of reservoirs are sized using a draft of 75% of the mean annual flow (0.75 MAF). The reservoir volumes based on the proposed drought magnitude (DM) method and the sequent peak algorithm (SPA) at 0.75 MAF ...
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Changwon Yoo, Efrain Gonzalez, Zhenghua Gong and Deodutta Roy
Every year, biomedical data is increasing at an alarming rate and is being collected from many different sources, such as hospitals (clinical Big Data), laboratories (genomic and proteomic Big Data), and the internet (online Big Data). This article prese...
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Yanmei Wang, Chengcai Zhang, Yisheng Zhang, He Huang and Lingtong Feng
With the accelerated urbanization process, cities are suffering from extremely heavy rain and urban storm water logging disasters in recent years. To provide reliable and effective information for urban management and emergency decision-making, the accur...
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Ruifeng Luo, Yifan Wang, Weifang Xiao and Xianzhong Zhao
Truss layout optimization under complex constraints has been a hot and challenging problem for decades that aims to find the optimal node locations, connection topology between nodes, and cross-sectional areas of connecting bars. Monte Carlo Tree Search ...
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X.A. Lifanova,K.S. Zaytsev
Pág. 60 - 67
The desire to apply information technology in all spheres of human activity recently requires new approaches to process management. This article is devoted to solving the problem of using the Process Mining technology to identify illegitimate influences ...
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X.A. Lifanova,K.S. Zaytsev
Pág. 60 - 67
The desire to apply information technology in all spheres of human activity recently requires new approaches to process management. This article is devoted to solving the problem of using the Process Mining technology to identify illegitimate influences ...
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Zhixiong Chen, Nan Xiao and Dongsheng Han
Unmanned aerial vehicle (UAV)-assisted relay mobile edge computing (MEC) network is a prominent concept, where network deployment is flexible and network coverage is wide. In scenarios such as emergency communications and low-cost coverage, optimization ...
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Zhou Lei, Exiong Sun, Shengbo Chen, Jiang Wu and Wenfeng Shen
Live migration of virtual machines is an important approach for dynamic resource scheduling in cloud environment. The hybrid-copy algorithm is an excellent algorithm that combines the pre-copy algorithm with the post-copy algorithm to remedy the defects ...
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Zhou Lei, Exiong Sun, Shengbo Chen, Jiang Wu and Wenfeng Shen
Live migration of virtual machines is an important approach for dynamic resource scheduling in cloud environment. The hybrid-copy algorithm is an excellent algorithm that combines the pre-copy algorithm with the post-copy algorithm to remedy the defects ...
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Jonatan Gomez and Andres Rivera
Studying the theoretical properties of optimization algorithms such as genetic algorithms and evolutionary strategies allows us to determine when they are suitable for solving a particular type of optimization problem. Such a study consists of three main...
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