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Now showing items 51-58 of 58
Contraction and deletion blockers for perfect graphs and H-free graphs
(Elsevier Science, 2018)
We study the following problem: for given integers d k and graph G can we reduce some fixed graph parameter pi of G by at least d via at most k graph operations from some fixed set S? As parameters we take the chromatic ...
CAMPways: constrained alignment framework for the comparative analysis of a pair of metabolic pathways
(Oxford University Press, 2013)
Motivation: Given a pair of metabolic pathways an alignment of the pathways corresponds to a mapping between similar substructures of the pair. Successful alignments may provide useful applications in phylogenetic tree ...
Navigation of non-communicating autonomous mobile robots with guaranteed connectivity
(Cambridge Univ Press, 2013)
We consider the connectivity of autonomous mobile robots. The robots navigate using simple local steering rules without requiring explicit communication among themselves. We show that using only position information of ...
Orthogonal projection and liftings of Hamilton-decomposable Cayley graphs on abelian groups
(Elsevier Science Bv, 2013)
In this article we introduce the concept of (p alpha)-switching trees and use it to provide sufficient conditions on the abelian groups G and H for when CAY (G x H
A Bayesian approach to developing a strategic early warning system for the French milk market
(Halmstad University, 2017)
A new approach is provided in our paper for creating a strategic early warning system allowing the estimation of the future state of the milk market as scenarios. This is in line with the recent call from the EU commission ...
Realistic Channel Estimation of IEEE 802.11af Systems in TV White Space
(Institute of Electrical and Electronics Engineers Inc., 2020)
This work investigates the realistic performance of IEEE 802.11af systems released for the efficient spectrum utilization of TV white space (TVWS). These systems are operated over many contiguous or non-contiguous channels ...
Novel Application Software for the Semi-Automated Analysis of Infrared Meibography Images
(2019)
Purpose: To develop semi-automated application software that quickly analyzes infrared meibography images taken with the CSO Sirius Topographer (CSO, Italy) and to compare them to the manual analysis system on the device ...
Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Data Using Deep Learning: Early Detection of COVID-19 Outbreak in Italy
(Ieee-Inst Electrıcal Electronıcs Engıneers Inc, 2020)
Unsupervised anomaly detection for spatio-temporal data has extensive use in a wide variety of applications such as earth science, traffic monitoring, fraud and disease outbreak detection. Most real-world time series data ...