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This Element provides an analysis of digital mystery game narratives through the lens of game studies approaches, game design principles,... Læs mere
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Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA), and this revised edition is accompanied by the R package... Læs mere
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This book explains how the Z Garbage Collector was designed, why it was designed this way, the common pitfalls to avoid when using ZGC in JDK 25 and how to get useful... Læs mere
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The book provides detailed descriptions of nonlinear optical phenomena starting from basic principles to state of the art... Læs mere
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This accessible tutorial reference by a multidisciplinary team of experts surveys efficient algorithms for analysing different types of games on... Læs mere
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This book gives a modern introduction to algorithmic game theory (AGT) with a focus on its increasingly prevalent usage of online learning, setting the book apart from... Læs mere
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Turing Award-winner Leslie Lamport explains how to think more abstractly about concurrent and distributed programs by viewing them mathematically. More abstract thinking... Læs mere
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This book covers deep learning-based communication frameworks for multiuser detection and sparse channel estimation and elaborates discussion on deep learning-based ultra-dense cell communication and sensor networks and ad-hoc communication.
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This book takes readers on an exploratory journey into the transformative potential of Deep Generative Models (DGMs), hybrid architectures, and Foundation Models (FMs) to redefine the future urban landscape.
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This new edition offers the most up-to-date and comprehensive guide to accomplishing and perfecting a photorealistic look in digital content across visual effects, architectural and product visualization, and games.
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This book combines modern Artificial Intelligence (AI) and inclusive education learning systems methodologies. The book also provides extensive discussion and methodologies related to STEM education to enhance future education.
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Research Advances in Intelligent Computing: Volume 3 explores this dynamic field, where artificial intelligence (AI) and computational models converge to create systems capable of learning, reasoning, and problem-solving.