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Dimensionality reduction, also known as manifold learning, is an area of machine learning used for extracting informative features from data for better representation of data or separation between classes. This book presents a cohesive review of linear and nonlinear dimensionality reduction and manifold learning. Three main aspects of dimensionality reduction are covered: spectral dimensionality reduction, probabilistic dimensionality reduction, and neural network-based dimensionality reduction, which have geometric, probabilistic, and information-theoretic points of view to dimensionality reduction, respectively. The necessary background and preliminaries on linear algebra, optimization, and kernels are also explained to ensure a comprehensive understanding of the algorithms. The tools introduced in this book can be applied to various applications involving feature extraction, image processing, computer vision, and signal processing. This book is applicable to a wide audience who would like to acquire a deep understanding of the various ways to extract, transform, and understand the structure of data. The intended audiences are academics, students, and industry professionals. Academic researchers and students can use this book as a textbook for machine learning and dimensionality reduction. Data scientists, machine learning scientists, computer vision scientists, and computer scientists can use this book as a reference. It can also be helpful to statisticians in the field of statistical learning and applied mathematicians in the fields of manifolds and subspace analysis. Industry professionals, including applied engineers, data engineers, and engineers in various fields of science dealing with machine learning, can use this as a guidebook for feature extraction from their data, as the raw data in industry often require preprocessing. The book is grounded in theory but provides thorough explanations and diverse examples to improve the reader's comprehension of the advanced topics. Advanced methods are explained in a step-by-step manner so that readers of all levels can follow the reasoning and come to a deep understanding of the concepts. This book does not assume advanced theoretical background in machine learning and provides necessary background, although an undergraduate-level background in linear algebra and calculus is recommended.

Artificial intelligence. Robotics. Simulation. Graphics --- KI (kunstmatige intelligentie)

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This book provides an overview of a power transformer infrastructure and comprehensive digital protection of it. It presents various protective methodologies available to protect the transformer from disturbances by taking care of mal-operation due to external disturbances and providing fine protection to the transformer. Though there are many protection methodologies available in the practice. However, these existing methodologies may mal-operate during external disturbances such as inrush, over-fluxing and short circuits. Hence, further research is needed in addition to the existing methods of protection in terms of more fault prediction accuracy, speedy operation, and lower protection cost with zero error in the detection of faults. The book will be useful reference for practitioners from academia and industrial applications. .

Electronics --- Artificial intelligence. Robotics. Simulation. Graphics --- KI (kunstmatige intelligentie) --- vermogenselektronica

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The metaverse, a hybrid society of the real and the virtual is attracting significant attention from academia to industry and is starting to change the world. Composed of ten chapters, this book introduces the metaverse from three aspects - concept, content and context. It starts with numerous concepts related to the metaverse, such as virtual reality, augmented reality, Web 3.0 and NFTs and describes the background, features, advantages and disadvantages. It then presents the content or key techniques around the metaverse, Artificial Intelligence, big data, edge computing, 3D modeling and blockchain. For each technique, it depicts how it performs to advance the development of the metaverse. Finally, it gives the context of the metaverse and illustrates the new society in the virtual world, consisting of economic systems, assets, social activities, security, law, etcetera. Overall, Metaverse: Concept, Content and Context provides a panoramic view of the metaverse, a key feature of which is the intuitive visualizations with numerous figures that clearly address the main aspects. This book is well-designed and well-written and will appeal to beginners and students as well as professionals, welcome to the metaverse community! .

Artificial intelligence. Robotics. Simulation. Graphics --- grafische vormgeving --- KI (kunstmatige intelligentie)

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This two-volume set constitutes the refereed proceedings of the First EAI International Conference on Intelligent Systems and Machine Learning, ICISML 2022, held in Hyderabad, India, in December 16-17,2022. The 75 full papers presented were carefully reviewed and selected from 209 submissions. The conference focuses on Intelligent Systems and Machine Learning Applications in Health care; Digital Forensic & Network Security; Intelligent Communication Wireless Networks; Internet of Things (IoT) Applications; Social Informatics; and Emerging Applications.

Artificial intelligence. Robotics. Simulation. Graphics --- KI (kunstmatige intelligentie)

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Een nieuwe technologische revolutie met voor iedereen toegankelijke kunstmatige intelligentie is onlangs over ons uitgestort. Maar wat houdt dit precies in en is het toepasbaar in het hedendaagse onderwijs? Dit handboek biedt een uitgebreide inleiding over hoe kunstmatige intelligentie in het algemeen en de toepassing ChatGPT in het bijzonder in het onderwijs kunnen worden gebruikt. Het is speciaal geschreven voor docenten en schoolleiders. Het is een praktische gids die docenten stap voor stap helpt om zelf aan de slag te gaan met ChatGPT en deze techniek te integreren in hun lessen. Het bevat diverse voorbeelden van werkvormen binnen verschillende vakgebieden en heeft een hoofdstuk dat speciaal gericht is op schoolleiders. Naast een heldere uitleg van wat kunstmatige intelligentie is en wat generatieve AI (Artificial Intelligence) zoals ChatGPT inhoudt, wordt er natuurlijk ook ingegaan op de maatschappelijke, didactische en ethische gevolgen van het gebruik van deze baanbrekende technologie in het onderwijs. Kortom, dit boek is een must-read voor iedereen die beseft dat kunstmatige intelligentie op korte termijn het onderwijs en onze maatschappij zal veranderen, en die deze ontwikkeling niet wil missen.

Artificial Intelligence. --- Chat GPT. --- Kunstmatige intelligentie. --- Didactic strategies --- Kunstmatige intelligentie --- ChatGPT --- onderwijs --- Computer assisted instruction --- Artificial intelligence. Robotics. Simulation. Graphics --- mediawijsheid --- e-learning --- onderwijsvernieuwing