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Classification of healthy and epileptic seizure EEG signals based on different visibility graph algorithms and EEG time series
Recently, the idea of processing time series by transforming them onto graphs has been used in many studies. One of the simple methods proposed to...
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Zero-Visibility Cops and Robber Game on Cage Graph
We consider zero-visibility cops and robber game that the cops lack of information on the location of the robber at all times, which is a variant of...
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Combining time-series evidence: A complex network model based on a visibility graph and belief entropy
Combining basic probability assignments (BPAs) with time series is common in real-life cases. Therefore, a new evidence fusion approach based on...
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Automatic Breast Tumor Classification in Ultrasound Images Using Morphological Features and New Texture Analysis Based on Image Visibility Graph and Gabor Filters
Lesion segmentation is a challenging task in computer-aided diagnosis (CAD) systems. In this paper, an automatic segmentation and diagnosis algorithm...
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Mutual Visibility in Hypercube-Like Graphs
Let G be a graph and \(X\subseteq V(G)\) . Then,...
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Cloud Cost Visibility
Chapter 1 established the importance of a “construction project manager” (FinOps), using the analogy of building...
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Guarding Polyominoes Under k-Hop Visibility
We study the Art Gallery Problem under k-hop visibility in polyominoes. In this visibility model, two unit squares of a polyomino can see each other...
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Influence maximization (IM) in complex networks with limited visibility using statistical methods
This article delves into the analysis and identification of influential individuals within social networks, a fundamental issue in the realm of...
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An Integrative Method for COVID-19 Patients’ Classification from Chest X-ray Using Deep Learning Network with Image Visibility Graph as Feature Extractor
We propose a method by integrating image visibility graph and deep learning (DL) for classifying COVID-19 patients from their chest X-ray images. The...
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A Novel Weighted Visibility Graph Approach for Alcoholism Detection Through the Analysis of EEG Signals
Detection of neurological disorders such as Alzheimer, Epilepsy, etc. through electroencephalogram (EEG) signal analysis has become increasingly...
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Development of path planning algorithm for biped robot using combined multi-point RRT and visibility graph
Path planning plays an important role while moving the robot from one location to another. The present paper is concerned with solving the path...
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Visibility Representations of Toroidal and Klein-bottle Graphs
In this paper, we study visibility representations of graphs that are embedded on a torus or a Klein bottle. Mohar and Rosenstiehl showed that any...
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Volume conductor: interactive visibility management for crowded volumes
We present a novel smart visibility system for visualizing crowded volumetric data containing many object instances. The presented approach allows...
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Graph Drawing and Network Visualization 30th International Symposium, GD 2022, Tokyo, Japan, September 13–16, 2022, Revised Selected Papers
This book constitutes the proceedings of the 30th International Symposium on Graph Drawing and Network Visualization, GD 2022, held in Tokyo, Japan,...
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Traffic Analysis by Adversaries with Partial Visibility
Mixnets are a fundamental privacy enhancing technology in the context of anonymous communication that have been extensively studied in terms of a...
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Analyzing the influence of prolific collaborations on authors productivity and visibility
Science has become more collaborative over the past years, as evidenced by the growing number of authors per publication and the emergence of...
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Bank Statements to Network Features: Extracting Features Out of Time Series Using Visibility Graph
Non-traditional data like the applicant’s bank statement is a significant source for decision-making when granting loans. We find that we can use...
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A new tool for defining cracks in meshes: FEM equipped with continuous visibility functions
By introducing continuous “visibility functions”, we present a new strategy for using the classical finite elements in cracked media with no need for...
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Learning Inverse Depth Regression for Pixelwise Visibility-Aware Multi-View Stereo Networks
Recently, learning-based multi-view stereo methods have achieved promising results. However, most of them overlook the visibility difference among...
