Πλοήγηση ανά Θέμα "Topology"
Αποτελέσματα 1-20 από 36
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Analyzing the Maritime Transportation System in Greece: a Complex Network Approach
(2014)Maritime networks of coastal and insular countries constitute fundamental transportation systems affecting the economy and the developmental dynamics of their countries. Under this perspective, the present article studies ... -
Backward Degree a new index for online and offline change point detection based on complex network analysis
(2022)How to identify an upcoming transition in a time series continues to be an important open research issue. In various fields of physical sciences, engineering, finance and neuroscience abrupt changes can occur unexpectedly ... -
Black virus decontamination of synchronous ring networks by initially scattered mobile agents
(2020)We study the Black Virus Decontamination problem in ring topologies for initially scattered mobile agents. In this problem a number of mobile agents operate in a network where one of its nodes u is hostile (contaminated) ... -
Capturing system dynamics using complex networks and granger causality analysis: Application to environmental data
(2016)In the present study, we introduce a novel methodology to analyze environmental observations. Environmental phenomena are usually complex and the majority of them present nonlinear behavior. In the first part of the present ... -
Cross-layer energy-aware topology control through Simulated Annealing for WSNs
(2016)In this paper, we optimize the energy consumption and node placements of a wireless sensor network (WSN) using Simulated Annealing (SA). We propose an energy-aware optimization of the power control, the packet transmission ... -
Data and programs in support of network analysis of genes and their association with diseases
(2016)The network-based approaches that were employed in order to depict the relationships between human genetic diseases and their associated genes are described. Towards this direction, monopartite disease-disease and gene-gene ... -
Different speeds suffice for rendezvous of two agents on arbitrary graphs
(2017)We consider the rendezvous problem for two robots on an arbitrary connected graph with n vertices and all its edges of length one. Two robots are initially located on two different vertices of the graph and can traverse ... -
EBC: A topology control algorithm for achieving high QoS in sensor networks
(2009)A novel approach for achieving high Quality of Service (QoS) in sensor networks via topology control is introduced and experimentally assessed in this paper. Our approach falls in the broader discipline of graph structural ... -
Effects in the network topology due to node aggregation: Empirical evidence from the domestic maritime transportation in Greece
(2018)This article studies the topological consistency of spatial networks due to node aggregation, examining the changes captured between different network representations that result from nodes’ grouping and they refer to the ... -
End-to-end bandwidth guarantees through fair local spectrum share in wireless ad-hoc networks
(2003)Sharing the locally common spectrum among the links of the same vicinity is a fundamental problem in wire-less ad-hoc networks. Lately some scheduling approaches have been proposed that guarantee fair share of the bandwidth ... -
An extension of fuzzy topological approach for comparison of genetic sequences
(2015)Bioinformatics is a relatively new discipline where Mathematics are applied in the analysis of genetic sequences. The analysis of the genetic material of living organisms which consist of nucleic acids DNA and RNA is of ... -
Feed Forward Neural Network Sparsification with Dynamic Pruning
(2021)A recent hot research topic in deep learning concerns the reduction of the model size of a neural network by pruning, in order to minimize its training and inference cost and thus, being capable of running on devices with ... -
Gathering of robots in a grid with mobile faults
(2019)The gathering of two or more agents in a graph is an important problem in the area of distributed computing and has been extensively studied especially for the fault free scenario. In this paper we consider the mobile ... -
Hidden neural networks for transmembrane protein topology prediction
(2021)Hidden Markov Models (HMMs) are amongst the most successful methods for predicting protein features in biological sequence analysis. However, there are biological problems where the Markovian assumption is not sufficient ... -
HMMpTM: Improving transmembrane protein topology prediction using phosphorylation and glycosylation site prediction
(2014)During the last two decades a large number of Computational methods have been developed for predicting transmembrane protein topology. Current predictors rely on topogenic signals in the protein sequence, such as the ... -
Identifying Dominant Nodes in Semantic Taxonomies
(2021)In this paper, we propose the use of the 'Dominance Metric', a scalable and modular methodology for measuring the importance of nodes in semantic taxonomies, under the assumption that dominance does not only derive from ... -
Linear current-to-time converter
(2019)In this work, a new current-to-time converter (CDC) based on current-starved inverter is proposed. The time delay of the output pulse edges is linearly proportional to a control current. The benefits of the proposed topology ... -
Links between network topology and socioeconomic framework of railway transport: Evidence from Greece
(2017)This paper studies the Greek railway network (GRAN) by using complex network analysis (CNA) and empirical approach. The study aims to detect the socioeconomic information immanent to the GRAN's topology and to provide ... -
Localization of Energy-Momentum for a Black Hole Spacetime Geometry with Constant Topological Euler Density
(2018)The evaluation of the energy-momentum distribution for a new four-dimensional, spherically symmetric, static and charged black hole spacetime geometry with constant nonzero topological Euler density is performed by using ... -
Machine learning technique in time series prediction of gross domestic product
(2017)Artificial intelligence is gaining ground the last years in many scientific sectors with the development of new machine learning techniques. In this research, a machine learning methodology is proposed in the Gross Domestic ...