Graph-ModelSynergyParadigm – Bücher, CDs, Blu-ray Discs und mehr, Seite 4

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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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: 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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Hirotomo Nishihara, Takeharu Yoshii, Wei Yu, Junlong Huang
Three-Dimensional Graphene

Graphene mesosponge synthesis, characterization, and energy applications from lab to commercializationThree-dimensional graphene-based materials offer high porosity, large specific surface area, and uniqu…

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Xin Tang, Jindong Zhang, Yuyang Zhang
Psychological Network Analyses and Directed Acyclic Graphs Tutorial for Developmental and Educational Science

Psychological network analysis (PNA) has emerged as a powerful tool for understanding the complex interplay of constructs in developmental and educational sciences. Unlike traditional models that assume r…

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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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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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Hye Rin Lee, Jindong Zhang, Xin Tang, Yuyang Zhang
Psychological Network Analyses and Directed Acyclic Graphs Tutorial for Developmental and Educational Science

Elements in Research Methods for Developmental Science

Psychological network analysis (PNA) has emerged as a powerful tool for understanding the complex interplay of constructs in developmental and educational sciences. Unlike traditional models that assume r…

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Yuzhuo Li, Yunwei Ryan Li
Graph Theory in Power Converters: From Fundamental s to Applications

Understand the theory behind an area of rapid engineering innovationThe field of power electronics has been rapidly transformed in recent decades by astonishing advances in power converter network techniq…

lieferbar ab 1.2.2027.

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E Chandra Blessie, Pethuru Raj Chelliah, B. Sundaravadivazhagan
A Complete Guide to Graph Representation Learning with Case Studies

Comprehensive resource on graph representation learning (GRL), exploring fundamental principles, advanced methodologies, and case studiesA Complete Guide to Graph Representation Learning with Case Studies…

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Priyanka Mahajan, Virat Khanna
Graphene in the Environment

Environmental Science and Engineering

This book explores the use of graphene in heavy metal cleanup. The introductory chapter contains enough information for understanding graphene, including its synthesis, characterisation, and amazing mecha…

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Thomas Rahlf
Datenvisualisierung mit R

Dieses Buch führt in die Grundlagen der Gestaltung wirkungsvoller Präsentationsgrafiken mit der Open-Source-Software R ein: Anhand von 123 vollständigen Skript-Beispielen lernen Sie, aussagekräftige Abbil…

lieferbar ab 22.1.2027.

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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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Virat Khanna, Chander Prakash
Graphene for Electrochemical Energy Storage

Lecture Notes in Nanoscale Science and Technology - Band 24

This book is a comprehensive overview of the latest developments in the field of graphene-based electrochemical energy storage devices. Graphene is considered one of the most promising materials for devel…

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Markus Lindner
Der Mathe-Adventskalender für kluge Köpfe

Du möchtest im Advent jeden Tag deinen Kopf fordern, statt einfach nur das nächste Schokoladentürchen zu öffnen? Dann ist dieser mathematische Adventskalender genau das Richtige: 24 abwechslungsreiche Rät…

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Josef Naber, Johannes Mensing
Mathe kann jeder - und wir beweisen es

Mathe lieben lernen>>Beste Erklärer. Vielen Dank. Definitiv mehr gelernt als in 10 Jahren Schule.<<David, 21 Jahre>>Durch Euch habe ich wieder Spaß an Mathe.<<Johannes, 51 Jahre>…

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Yao Ding, Zhili Zhang, Haojie Hu, Fang He
Graph Neural Network for Feature Extraction and Classification of Hyperspectral Remote Sensing Images

Intelligent Perception and Information Processing

This book deals with hyperspectral image classification using graph neural network methods, focusing on classification model designing, graph information dissemination, and graph construction. In the book…

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Eon Soo Lee, Niladri Talukder
Nitrogen-doped Graphene Nanomaterials for Electrochemical Systems

This book embarks on an illuminating journey into the remarkable world of nitrogen-doped graphene (N-G) with this comprehensive exploration. Part I lays the foundation, unraveling the physical and chemica…

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Graphene and 2D Materials in Heat Transfer: Fundamentals and Applications

Heat transfer is a major engineering challenge that has implications in several areas including space, energy, transportation, manufacturing, and medicine. Graphene and other 2D materials have outstanding…

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