Tag: Graph

Fuzzy Graph Theory Applications to Global Problems


Free Download Fuzzy Graph Theory: Applications to Global Problems
English | 2023 | ISBN: 3031231074 | 427 Pages | PDF EPUB (True) | 23 MB
This book examines some issues involving climate change, human trafficking, and other serious world challenges made worse by climate change. Climate change increases the risk of natural disasters and thus creates poverty and can cause situations of conflict and instability. Displacement can occur giving traffickers an opportunity to exploit affected people. In the fuzzy graph theory part of the book, the relatively new concepts of fuzzy soft semigraphs and graph structures are used to study human trafficking, as well as its time intuitionistic fuzzy sets that have been introduced to model forest fires. The notion of legal and illegal incidence strength is used to analyze immigration to the USA. The examination of return refugees to their origin countries is undertaken. The neighborhood connectivity index is determined for trafficking in various regions in the world. The cycle connectivity measure for the directed graph of the flow from South America to the USA is calculated. It is determined that there is a need for improvement in government response by countries. Outside the area of fuzzy graph theory, a new approach to examine climate change is introduced. Social network theory is used to study feedback processes that effect climate forcing. Tipping points in climate change are considered. The relationship between terrorism and climate change is examined. Ethical issues concerning the obligation of business organizations to reduce carbon emissions are also considered. Nonstandard analysis is a possible new area that could be used by scholars of mathematics of uncertainty. A foundation is laid to aid the researcher in the understanding of nonstandard analysis. In order to accomplish this, a discussion of some basic concepts from first-order logic is presented as some concepts of mathematics of uncertainty. An application to the theory of relativity is presented.

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Graph Databases With Neo4j


Free Download Graph Databases With Neo4j
Published 3/2023
Created by Clément Fiocre | Data Governance | Business Intelligence
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 19 Lectures ( 1h 53m ) | Size: 941 MB

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Graph Spectral Image Processing


Graph Spectral Image Processing
English | 2021 | ISBN: 1789450284 | 305 Pages | EPUB (True) | 15 MB
Graph spectral image processing is the study of imaging data from a graph frequency perspective. Modern image sensors capture a wide range of visual data including high spatial resolution/high bit-depth 2D images and videos, hyperspectral images, light field images and 3D point clouds. The field of graph signal processing – extending traditional Fourier analysis tools such as transforms and wavelets to handle data on irregular graph kernels – provides new flexible computational tools to analyze and process these varied types of imaging data. Recent methods combine graph signal processing ideas with deep neural network architectures for enhanced performances, with robustness and smaller memory requirements.

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Graph-Powered Analytics and Machine Learning with TigerGraph (10th Early Release)


Graph-Powered Analytics and Machine Learning with TigerGraph (10th Early Release)
English | 2023 | ISBN: 9781098106645 | 149 pages | EPUB | 17.4 MB
With the rapid rise of graph databases, organizations are now implementing advanced analytics and machine learning solutions to help drive business outcomes. This practical guide shows data scientists, data engineers, architects, and business analysts how to get started with a graph database using TigerGraph, one of the leading graph database models available.

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Graph Theory, Combinatorics and Algorithms Interdisciplinary Applications


Graph Theory, Combinatorics and Algorithms: Interdisciplinary Applications by Martin Charles Golumbic, Irith Ben-Arroyo Hartman
English | PDF(True) | 2005 | 296 Pages | ISBN : 038724347X | 2.3 MB
Graph Theory, Combinatorics and Algorithms: Interdisciplinary Applications focuses on discrete mathematics and combinatorial algorithms interacting with real world problems in computer science, operations research, applied mathematics and engineering. The book contains eleven chapters written by experts in their respective fields, and covers a wide spectrum of high-interest problems across these discipline domains. Among the contributing authors are Richard Karp of UC Berkeley and Robert Tarjan of Princeton; both are at the pinnacle of research scholarship in Graph Theory and Combinatorics. The chapters from the contributing authors focus on "real world" applications, all of which will be of considerable interest across the areas of Operations Research, Computer Science, Applied Mathematics, and Engineering. These problems include Internet congestion control, high-speed communication networks, multi-object auctions, resource allocation, software testing, data structures, etc. In sum, this is a book focused on major, contemporary problems, written by the top research scholars in the field, using cutting-edge mathematical and computational techniques.

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Graph Drawing and Network Visualization 30th International Symposium, GD 2022, Tokyo, Japan, September 13-16, 2022, Rev


Patrizio Angelini, "Graph Drawing and Network Visualization: 30th International Symposium, GD 2022, Tokyo, Japan, September 13-16, 2022, Rev"
English | ISBN: 3031222024 | 2023 | 516 pages | PDF | 38 MB
This book constitutes the proceedings of the 30th International Symposium on Graph Drawing and Network Visualization, GD 2022, held in Tokyo, Japan, during September 13-16, 2022.

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