Showing posts with label Graph. Show all posts
Showing posts with label Graph. Show all posts

Wednesday, 27 August 2025

Graph Based Anomaly Detection Techniques: A Review | Chapter 4 | Science and Technology - Recent Updates and Future Prospects Vol. 7

 

Anomaly detection refers to the process of identifying anomalies or distinct patterns in data that might potentially point to issues. The motivation to study various anomaly detection techniques lies in the critical need to identify and respond to unusual patterns or deviations across multiple domains. There are various methods like statistical methods that are effective for data with known distributions, proximity-based and clustering-based methods excel in spatial data analysis, etc. Graph-based methods detect anomalies by disrupted connectivity patterns to enhance robustness and performance in diverse applications. In this article, some graph-based anomaly detection techniques have been studied in a nutshell and also some future directions to improve the technique of detecting anomalies in data have been given.

 

 

Author(s) Details

Debajit Sensarma

Department of Computer Science, Vivekananda Mission Mahavidyalaya, Purba Medinipur, Haldia, India.

 

Please see the link:- https://doi.org/10.9734/bpi/strufp/v7/1068

Saturday, 23 September 2023

Dimensions of a Graph | Chapter 13 | Research and Applications Towards Mathematics and Computer Science Vol. 4

 We present eight infinite sets of continuous. Some we calculate. Roughly talking, we seek graphs as narrow as possible. The graphs present image of examples for various kinds of ’ranges’.In the second part ’Points’, we place points on the plane, and from this, we ask limitless many questions.In a third part, we present for each diagram a sequence named the ‘Thuerey Numbers’. At the end, we summarize the open questions.

Author(s) Details:

Volker Wilhelm Thürey,
Hegelstrasse 101, 28201 Bremen, Germany.

Please see the link here: https://stm.bookpi.org/RATMCS-V4/article/view/11937

Monday, 1 May 2023

The Study of Distance-Labelings for Cycle Graphs | Chapter 13 | Research Highlights in Mathematics and Computer Science Vol. 9

 

Let G = (V,E) be a diagram and Cm be the cycle diagram with m top. In this chapter, we persisted Yeh's work [1] on the distance labeling of the phase diagram Cm. An n-set distance labeling of a diagram G is the labeling of the top (with n labels per top) of G under certain restraints determined by the distance 'tween each pair of vertices in G. Following Yeh's documentation [1], the smallest advantage for the best label in an n-set distance labeling of G is meant by A1(n) (G)…..

Author(s) Details:

Alissa Shen,
St. Stephen’s Episcopal School, Austin, Texas, USA.

Jian Shen,
Department of Mathematics, Texas State University, San Marcos, Texas, USA.

Please see the link here: https://stm.bookpi.org/RHMCS-V9/article/view/10445

Tuesday, 14 March 2023

General Formulation of Topos Many-Node Theory | Chapter 8 | New Frontiers in Physical Science Research Vol. 9

 We analyze the created entities (occurrences) in the first moments of cosmos creation. It is assumed that skilled exists a causal forceful relationship between all occurrences (nodes) aforementioned that all nodes are placed on a planet line and each node occupies a domain (instead of a point) precede-time, called setting, in mathematical terms. The set of setting nodes form a topos many-node order. Using some elementary assumptions, we introduce two types of Hamiltonians. By attributing a general fundamental Hamiltonian to the system, it is shown that bureaucracy has an optimized fault-finding dimension with a apparent Raman and infrared spectrums. Also, we consider a accepted nonstructural Hamiltonian which contains a set of commutative self-adjoint operators and an interplay terms due to the spin, charge, or different kinds of probable scopes of freedoms each nth optimized graph. For judgment the state-space, honesty values and size valued objects of the many-bud system, a general process is introduced. The set of these values is a chaste snapshot of the nth reformed graph which forms allure kinematic. We show that the dynamic of the system maybe explained by defining a linked map middle from two points the nth -state-space belongs to the nth -graph and the (n + 1)th -state-room belong to (n + 1)th  -graph. Finally, by providing an understanding of the general expression of many-node theory, we confer and explain how individual can use the data of the cosmic history radiations and cosmic beams for finding a detailed model of two together general structural and nonstructural made acquainted Hamiltonian. Here, time is merely the change in truth value all the while comparison between nth and (n + 1)th-diagram.

Author(s) Details:

Hamidreza Simchi,
Department of Physics, Iran University of Science and Technology, Narmak, Tehran 16844, Iran.

Please see the link here: https://stm.bookpi.org/NFPSR-V9/article/view/9857

Wednesday, 21 December 2022

Graphs Associated with Number Sequences| Chapter 4 | Research Highlights in Mathematics and Computer Science Vol. 3

 This item aims to investigate by what method few sequences are used in differing graphs. In this study, the use of Fibonacci and Lucas numbers in having two of something graphs, Bell, Stirling numbers and their generalizations q-Bell and q-Stirling numbers in simple graphs, and Jacobsthal numbers in Petersen graphs, that hold many studies in the literature, were checked.

Author(s) Details:

Gul Ozkan Kizilirmak,
Department of Mathematics, Faculty of Science, Gazi University, Ankara, Turkey.

Serife Buyukkose,
Department of Mathematics, Faculty of Science, Gazi University, Ankara, Turkey.

Please see the link here: https://stm.bookpi.org/RHMCS-V3/article/view/8876

Tuesday, 11 October 2022

Enumeration of Abstract Complexes of a Given Kind (Labeled vs. Unlabeled): A Mathematical Approach| Chapter 7 | Novel Research Aspects in Mathematical and Computer Science Vol. 8

 The utilisation of our enumeration polynomial P(x), a link between the labelled and unlabeled settings, is covered in the current chapter. Using the decomposition of the set of complexes into orbits, we demonstrate how to use the enumeration polynomial P(x) proposed for abstract (simplicial) complexes of a particular form, such as trees with a given number of vertices or torus triangulations with a specified network. Following a demonstration for trees, the enumeration polynomial P(x) is then applied to the triangulations of the torus with the vertex-labeled complete four-partite graph G = K2,2,2,2, where P(x) specifically equals x31. The triangulation T(G) of the graph G embeds it in the torus. In the current chapter we review the use of our enumeration polynomial P(x) which is a bridge between the labeled and unlabeled settings. We show how to apply the enumeration polynomial P(x) introduced for abstract (simplicial) complexes of a specific form, such as trees with a given number of vertices or torus triangulations with a specified network, using the decomposition of the set of complexes into orbits. The enumeration polynomial P(x) is demonstrated for trees and then is applied to the triangulations of the torus with the vertex-labeled complete four-partite graphG=K_2,2,2,2, in which specific case P(x)=x^31. The graph G embeds in the torus as a triangulation,T(G). The automorphism group of G naturally acts on the set of triangulations of the torus with the vertex-labeled graph G. There are twelve vertex-labeled triangulations of the torus with the graph G; they are classified intelligently, uniformly, and systematically without the use of computational technology. This is done by using algebraic and symmetry approaches. It is helpful to notice that the graph G can be converted to the Cayley graph of the quaternion group Q_8 with the three imaginary quaternions i,j,k as generators. The set of triangulations of the torus with the vertex-labeled graph G is naturally affected by the automorphism group of G. The torus with the graph G has twelve vertex-labeled triangulations, which are intelligently, uniformly, and systematically classified without the aid of computing technology. Using symmetry and algebraic methods, this is accomplished. It is useful to note that by using the three hypothetical quaternions I j, and k as generators, the graph G can be transformed into the Cayley graph of the quaternion group Q8.


Author(s) Details:

S. Lawrencenko,
Institute of Service Technologies, Russian State University of Tourism and Service, 99 Glavnaya Street, Cherkizovo, Pushkinsky District, Moscow Region, 141221, Russia.

A. M. Magomedov,
Department of Discrete Mathematics and Informatics, Dagestan State University, 43-A Gadjieva, Makhachkala, 367000, Russia.

Please see the link here: https://stm.bookpi.org/NRAMCS-V8/article/view/8361

Thursday, 25 November 2021

The Vertices of a Graph and Its Dimension | Chapter 13 | Recent Advances in Mathematical Research and Computer Science Vol. 4

 We show that a graph's dimension is smaller than or equal to the cardinality of its vertices.


Author(S) Details

Volker W. Thürey
Independent Researcher, Bremen, Germany.

View Book:- https://stm.bookpi.org/RAMRCS-V4/article/view/4879

Friday, 2 April 2021

Study on Separation Axioms via Graph Theory | Chapter 2 | New Insights into Physical Science Vol. 12

Many relations among them were studied and investigated some characterization of these concepts via a new concept called topological graph, which introduces a new class of separation axioms via the concepts of graph (G-T0, G-T1, G-T2, G-T3, and G-T4). Finally, submit an application for them.

Author (s) Details

Taha H. Jasim
Department of Mathematics, College of Computer Science and Mathematics, University of Tikrit, Iraq.

Aiad I. Awad
Department of Mathematics, College of Computer Science and Mathematics, University of Mosul, Iraq.

View Book :- https://stm.bookpi.org/NIPS-V12/article/view/280

Sunday, 7 March 2021

Study on Graph Entropy Associated with Multilevel Atomic Excitation | Chapter 3 | New Ideas Concerning Science and Technology Vol. 8

To explain multilevel atomic structure, a graph-model is presented. We can visualise the double configuration in alkali-metal atoms with hyperfine structure and nuclear spin I=3/2 as a four-verticed graph. Coherence is viewed as links. In the static graph-model, we introduce the transition matrix, which defines the connectivity matrix. In general, the transition matrix defines the dynamic graph-spatiotemporal model's action. It also describes several links and vertices that circle back on themselves. Short pulses are used to excite the atoms, allowing the hyperfine structure to be resolved. Without invoking the energy principle of the propagated pulses, entropy associated with the proposed dynamic graph-model is used to define transitions as well as local stabilisation in the framework.

Author (s) Details

Dr. Abu Mohamed Alhasan
Physics Department, Assiut University, Assiut 71516, Egypt.

View Book :- https://stm.bookpi.org/NICST-V8/issue/view/45