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Lekshmi S. Nair, Swaminathan Jayaraman and Sai Pavan Krishna Nagam
Link prediction finds the future or the missing links in a social?biological complex network such as a friendship network, citation network, or protein network. Current methods to link prediction follow the network properties, such as the node?s centrali...
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Ioannis G. Tsoulos and Alexandros Tzallas
Perhaps one of the best-known machine learning models is the artificial neural network, where a number of parameters must be adjusted to learn a wide range of practical problems from areas such as physics, chemistry, medicine, etc. Such problems can be r...
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Ioannis G. Tsoulos, Alexandros Tzallas, Evangelos Karvounis and Dimitrios Tsalikakis
The problem of finding the global minimum of multidimensional functions is often applied to a wide range of problems. An innovative method of finding the global minimum of multidimensional functions is presented here. This method first generates an appro...
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Hadi Papei and Yang Li
We propose a stochastic agglomerative algorithm to detect the local community of some given seed vertex/vertices in a network. Instead of giving a deterministic binary local community in the output, our method assigns every vertex a value that is the pro...
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Mahsa Yousefi and Ángeles Martínez
While first-order methods are popular for solving optimization problems arising in deep learning, they come with some acute deficiencies. To overcome these shortcomings, there has been recent interest in introducing second-order information through quasi...
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Jian Huang and Yijun Gu
Community detection is an important task in the analysis of complex networks, which is significant for mining and analyzing the organization and function of networks. As an unsupervised learning algorithm based on the particle competition mechanism, stoc...
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Guohong Zhao, Zeyu Kang, Yixin Huang and Shufan Wu
In this paper, for an Low-Earth Orbit (LEO) satellite network with inter-satellite links, a routing optimization method is developed in the case of stochastic link failure. First, a discrete-time strategy is used for the satellite network to acquire seve...
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Christian Moya and Guang Lin
The Deep Operator Network (DeepONet) framework is a different class of neural network architecture that one trains to learn nonlinear operators, i.e., mappings between infinite-dimensional spaces. Traditionally, DeepONets are trained using a centralized ...
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Agostino Nuzzolo and Antonio Comi
This paper addresses the search for a run-based dynamic optimal travel strategy, to be supplied through mobile devices (apps) to travelers on a stochastic multiservice transit network, which includes a system forecasting of bus travel times and bus arriv...
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Maarouf Al Hajj, Shanshan Wang, Lam Thanh Tu, Soumaya Azzi and Joe Wiart
This paper aims to derive an analytical modelling of the downlink exposure in 5G massive Multiple Input Multiple Output (MIMO) antenna networks using stochastic geometry. The Poisson point process (PPP) is assumed for base station (BS) distribution. The ...
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Franco Bagnoli, Emanuele Bellini, Emanuele Massaro and Raúl Rechtman
Percolation, in its most general interpretation, refers to the ?flow? of something (a physical agent, data or information) in a network, possibly accompanied by some nonlinear dynamical processes on the network nodes (sometimes denoted reaction?diffusion...
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Georgios A. Karagiannis and Athanasios D. Panagopoulos
Performance evaluation tools for wireless cellular systems are very important for the establishment and testing of future internet applications. As the complexity of wireless networks keeps growing, wireless connectivity becomes the most critical require...
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José-Luis Molina, Santiago Zazo, Pablo Rodríguez-Gonzálvez and Diego González-Aguilera
Hydrological series are largely characterized by a strong random component in their behavior. More noticeable changes in the behavior patterns of rainfall/runoff temporal series are recently being observed. These modifications are not a trivial issue, es...
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José-Luis Molina, Santiago Zazo, Pablo Rodríguez-Gonzálvez, Diego González-Aguilera
Pág. 1 - 21
Hydrological series are largely characterized by a strong random component in their behavior. More noticeable changes in the behavior patterns of rainfall/runoff temporal series are recently being observed. These modifications are not a trivial issue, es...
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Edita Kolárová,Lubomír Brancík
Pág. 1 - 8
In this paper we present an application of the Itô stochastic calculus to the problem of modelling RLC electrical circuits. The deterministic model of the circuit is replaced by a stochastic model by adding a noise term to various parameters of the circu...
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Elisabetta Tedeschi, Jonas Sjolte, Marta Molinas and Maider Santos
The future success of wave energy in the renewable energy mix depends on the technical advancements of the specific components and systems, on the grid access availability and, ultimately, on the economical profitability of the investment. Small and remo...
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V. O. Andryushchenko,V. Vl. Skalozub
Pág. 167 - 170
The method of structural transformation of graphs of stochastic networks is developed, which extends an application sphere of GERT-models for the analysis of casual economic and technological processes.
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Igor Kotenko, Igor Saenko, Andrey Privalov and Oleg Lauta
The article proposes an approach to ensuring the functioning of Software-Defined Networks (SDN) in cyber attack conditions based on the analytical modeling of cyber attacks using the method of topological transformation of stochastic networks. Unlike oth...
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Yurun Wang, Pu Zhao, Senkai Xie and Wenjia Zhang
Understanding the spatial structure of a megaregion with urban and rural areas is crucial for promoting sustainable urbanization and urban?rural integration. Compared to the city network (or the network of urban areas), however, fewer studies focus on th...
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Giuseppe Del Giudice, Cristiana Di Cristo and Roberta Padulano
A methodological framework for the estimation of the expected value of hourly peak water demand factor and its dependence on the spatial aggregation level is presented. The proposed methodology is based on the analysis of volumetric water meter measureme...
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