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Graph-Based Modelling in Science, Technology and Art

This book presents interdisciplinary, cutting-edge and creative applications of graph theory and modeling in science, technology;

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Bond Graph Modelling for Control, Fault Diagnosis and Failure Prognosis

, fault accommodation, and failure prognosis by reviewing the state-of-the-art, presenting a hybrid integrated approach to Bond Graph model-based;

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Bond Graph Modelling for Control, Fault Diagnosis and Failure Prognosis

, fault accommodation, and failure prognosis by reviewing the state-of-the-art, presenting a hybrid integrated approach to Bond Graph model-based;

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Applied modelling and computing in social science

In social science outstanding results are yielded by advanced simulation methods, based on state of the art software technologies and an;

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Systems Analysis and Synthesis

Systems Analysis and Synthesis: Bridging Computer Science and Information Technology presents several new graph-theoretical methods;

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Reusable Components for Knowledge Modelling

provides an in-depth analysis of knowledge modelling technology, illustrating the main tenets of this paradigm, surveying the state-of-the-art and;

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Graph Theory Applications

, matching, digraphs, networks, matrices of a graph, graph theoretic algorithms, and matroids. These concepts are then applied in the second part to;

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Graph Databases in Action

Graph Databases in Action teaches readers everything they need to know to begin building and running applications powered by graph;

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Graph-Based Semi-Supervised Learning

. Graph-based SSL algorithms, which bring together these two lines of work, have been shown to outperform the state-of-the-art in many;

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Handbook of Graph Grammars and Computing by Graph Transformation

grammars and graph transformations generalizes formal language theory based on strings and the theory of term rewriting based on trees. As a matter;

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Introduction to Chemical Graph Theory

Introduction to Chemical Graph Theory is a concise introduction to the main topics and techniques in chemical graph theory, specifically;

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Introduction to Chemical Graph Theory

Introduction to Chemical Graph Theory is a concise introduction to the main topics and techniques in chemical graph theory, specifically;

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Analysis of Complex Networks

perspective with specific applications of graph theory in biomedical and computational sciences. The book is written by renowned experts in the field;

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Graph Transformation

in topical sections on verification, meta-modelling and model transformations, rewriting and applications in biology, graph languages and graph;

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Bond Graph Model-based Fault Diagnosis of Hybrid Systems

, control and model-based fault diagnosis of multidisciplinary engineering systems. The text beings with a brief survey of the state-of-the-art;

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BIOMAT

Biology and the contributions of the Keynote Speakers which present the state of the art of fundamental topics of interdisciplinary science to;

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An Efficient Algorithm for Shortest Path Tree in Dynamic Graph

Graph theory is branch of science, which has a wide application in fields of Engineering, Science and management. Graph theory enables us;

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Simulation and Animation of Visual Languages based on Typed Algebraic Graph Transformation

process for visual behavioural models by providing a formal framework and tool support for simulation and animation based on typed algebraic graph;

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Graph-Powered Machine Learning

technology By organizing and analyzing your data as graphs, your applications work more fluidly with graph-centric algorithms like nearest;

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Engineering Design and Mathematical Modelling

mathematical modelling domains. Engineering design and mathematical modelling are key tools/techniques in the Science, Technology and Innovation;

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Optimization Problems in Graph Theory

, data analysis, industrial and systems engineering will benefit from the state-of-the-art results presented in modern graph theory and its;

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Graph Transformation for Software Engineers

concepts, notations and techniques of graph transformation. The second part presents and discusses a range of applications to both model-based;

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Graph Transformation for Software Engineers

concepts, notations and techniques of graph transformation. The second part presents and discusses a range of applications to both model-based;

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Graph-Based Representations in Pattern Recognition

submissions. The accepted papers cover diverse issues of graph-based methods and applications, with 7 in graph representation, 15 in graph matching;

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Large scale Graph Analysis System Algorithm and Optimization

, sharing state-of-the-art solutions based on advanced graph algorithms. In addition, all readers will find a workload-aware methodology for;

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Large scale Graph Analysis System Algorithm and Optimization

, sharing state-of-the-art solutions based on advanced graph algorithms. In addition, all readers will find a workload-aware methodology for;

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Graph Kernels

, software plus data resources, and an empirical comparison of state-of-the-art graph kernels. It is divided into two parts: the first part focuses;

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