Graphene-basedphotocatalysts – Bücher, CDs, LPs 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…

lieferbar innerhalb 2-3 Wochen

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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…

lieferbar in mind. 4 Wochen

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Aramayis Dallakyan, Mohsen Pourahmadi
Regressions in Covariances, Dependencies and Graphs

Chapman & Hall/CRC Texts in Statistical Science

Multivariate data routinely collected nowadays using modern technological devices display cross-sectional, temporal, and spatial dependence. Regressions in Covariances, Dependencies and Graphs emphasizes …

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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 …

lieferbar in mind. 4 Wochen

Buch

Tomaz Bratanic, Oskar Hane
Essential Graphrag

Upgrade your RAG applications with the power of knowledge graphs.Retrieval Augmented Generation (RAG) is a great way to harness the power of generative AI for information not contained in a LLM's training…

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

Micro and Nano Technologies

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…

lieferbar ab 1.9.2026.

Buch

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 3.10.2026.

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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.

Buch

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…

lieferbar in mind. 4 Wochen

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R. G. Panneerselvam, C. Prakash, P. Nagabhushanam
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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Nanoscale Electronic Device Applications of Carbon Nanotubes, Graphene, Silicene and Molybdenum Disulfide

This book covers the latest advancements in the field of nanoelectronics using most popular low dimensional materials, namely carbon nanotubes (CNTs), graphene, silicene, and molybdenum disulfide (MoS2), …

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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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Yunwei Ryan Li, Yuzhuo 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 26.10.2026.

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B. Sundaravadivazhagan, E. Chandra Blessie, Pethuru Raj Chelliah
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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