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The book discusses converter design, control techniques, and other functionality augmented in... Læs mere
Game AI Uncovered: Volume Five continues the series with another collection of chapters from twenty-three of the top game AI professionals and researchers, from around the... Læs mere
This textbook for upper-year undergraduates and graduates concentrates on mining networks, a subfield within data science. Changes and updates to this edition include: new... Læs mere
This Element provides an analysis of digital mystery game narratives through the lens of game studies approaches, game design principles,... Læs mere
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
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
The book provides detailed descriptions of nonlinear optical phenomena starting from basic principles to state of the art... Læs mere
This accessible tutorial reference by a multidisciplinary team of experts surveys efficient algorithms for analysing different types of games on... Læs mere
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
Whether you're new to statistical analysis or looking to enhance your analytical skills with the R programming language, this textbook provides comprehensive and practical guidance for understanding fundamental statistical concepts through healthcare examples in R.
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.
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.