Graphene-derivatise – Bücher, CDs, LPs und mehr, Seite 4

Combinatorics, Graph Theory and Computing

Springer Proceedings in Mathematics & Statistics - Band 489

This proceedings volume compiles selected, revised papers presented at the 54th Southeastern International Conference on Combinatorics, Graph Theory, and Computing (SEICCGTC 2023), which took place at Flo…

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Knowledge Graphs and Large Language Models

Intelligent Data-Centric Systems

Knowledge Graphs and Large Language Models: Current Approaches, Challenges, and Future Directions explores the cutting-edge fusion of two powerful artificial intelligence technologies: Large Language Mode…

lieferbar ab 1.1.2027.

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Anna Weller
Numerical Methods for Metric Graphs

Lecture Notes in Mathematics - Band 2382

This book discusses the fundamentals of the numerics of parabolic partial differential equations posed on network structures interpreted as metric spaces. These so-called metric graphs frequently occur in…

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R. Rama
Topics in Combinatorics and Graph Theory

The book covers all the basics of both the topics. The topics are sequenced in such a manner that there is a flow in understanding the advances. The first and second chapters cover all the basic methods a…

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Eberhard Triesch
Diskrete Mathematik

Dieses Lehrbuch führt auf prägnante und nachvollziehbare Art in die Abzähl- und Existenzprobleme der diskreten Mathematik ein. Es wendet sich an Studierende der Mathematik, der Informatik und benachbarter…

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Alessandro Negro
Knowledge Graphs and LLMs in Action

Combine knowledge graphs with large language models to deliver powerful, reliable, and explainable AI solutions.Knowledge graphs model relationships between the objects, events, situations, and concepts i…

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Graph Convolutional Neural Networks for Computer Vision

Revolutionize your machine learning practice with this essential book that provides expert insights into leveraging Graph Convolutional Networks (GCNNs) to overcome the limitations of traditional CNNs.In …

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Monia Lupparelli, Giovanni Maria Marchetti, Claudia Tarantola
Regression Graph Models for Categorical Data

SpringerBriefs in Statistics

This book consolidates knowledge on regression chain graph models, often referred to as regression graph models, with a particular emphasis on their parameterizations and inference for the analysis of cat…

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Graph Neural Networks for Neurological Disorders

This book represents a unique and comprehensive resource for understanding the intersection of advanced artificial intelligence (AI) and neurology. By focusing on graph neural networks (GNNs), the book ad…

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Volker Diekert, Manfred Kufleitner, Gerhard Rosenberger, Ulrich Hertrampf
Elemente der diskreten Mathematik

De Gruyter Studium

Das Lehrbuch beschäftigt sich mit den Elementen der Diskreten Mathematik und deren algebraischen Grundlagen, die relevante Anwendungen in der Informatik haben. Notwendige Hilfsmittel werden behandelt, um …

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Nicolas de Almeida Martins, Nicolas Nisse, Rudini M. Sampaio, Samuel Nascimento de Araujo
Theory of Combinatorial Games in Graphs

Springer Undergraduate Texts in Mathematics and Technology

This book offers a comprehensive introduction to the field of combinatorial games, with a contemporary focus on games played on graphs. It provides a clear, structured tour of the major classes of combina…

lieferbar ab 17.10.2026.

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Harnessing Artificial Intelligence-Enhanced Graph Models for Biological Discovery

Harnessing Artificial Intelligence-Enhanced Graph Models for Biological Discovery: Unveiling Biological Frontiers introduces revolutionary techniques that merge artificial intelligence with graph-based me…

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Graph Neural Networks: Essentials and Use Cases

This book explains the technologies and tools that underpin GNNs, offering a clear and practical guide to their industrial applications and use cases. AI engineers, data scientists, and researchers in AI …

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Yves van Gennip, Jeremy Budd
Differential Equations and Variational Methods on Graphs

The burgeoning field of differential equations on graphs has experienced significant growth in the past decade, propelled by the use of variational methods in imaging and by its applications in machine le…

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Charles Radin, Lorenzo Sadun
Emergence and Phase Transitions in Uniform Random Graphs

London Mathematical Society Lecture Note Series

This book studies the emergence of large-scale structure from small structures in the context of random graphs. Typical large graphs with fixed edge density e and triangle density t are described by a 'gr…

lieferbar ab 30.11.2026.

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C. Prakash, P. Nagabhushanam, R. G. Panneerselvam
Computer-Aided Figured Graph Designing for Jacquard Weaving

Computer-aided figured graph designing (CAFGD) has become essential for the electronic jacquard weaving sector. This book explains the common principles of CAFGD for jacquard weaving, including systematic…

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Weibin Liu, Huaqing Hao, Hui Wang, Zhiyuan Zou
Graph Neural Network Methods and Applications in Scene Understanding

The book focuses on graph neural network methods and applications for scene understanding. Graph Neural Network is an important method for graph-structured data processing, which has strong capability of …

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Tassilo Weller
Die Macht der Ambivalenz

Die blaue Stunde der Informatik

Beim Umgang mit persönlichem Wissen stellt sich die Frage, wie Gedanken und persönliche Zusammenhänge mit Hilfe von Medien langfristig abgelegt, wiederverwendet, kommuniziert und maschinell weiterverarbei…

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Jin Xu
Maximal Planar Graph Theory and the Four-Color Conjecture

This open access book integrates foundational principles with advanced methodologies concerning maximal planar graphs. It offers readers an exceptional examination of graph structures, chromatic polynomia…

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Saurabh Kumar Srivastav
Quantized Heat Flow as a Probe of Thermal Equilibration and Edge Structures of Quantum Hall Phases in Graphene

Springer Theses

This book describes the quantized thermal conductance measurements of integer and several fractional quantum Hall (QH) states realized in graphene devices. Although the electrical conductance quantization…

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