Описание: This comprehensive new resource focuses on applied electromagnetics and takes readers beyond the conventional theory with the use of contemporary mathematics to improve the practical use of electromagnetics in emerging areas of field communications, wireless power transfer, metamaterials, MIMO and direction-of-arrival systems. The book explores the existing and novel theories and principles of electromagnetics in order to help engineers analyze and design devices for today’s applications in wireless power transfers, NFC, and metamaterials.
Автор: Ajith Abraham; Aboul-Ella Hassanien; Andr? Ponce d Название: Foundations of Computational Intelligence ISBN: 3642101666 ISBN-13(EAN): 9783642101663 Издательство: Springer Рейтинг: Цена: 29209.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Computing techniques inspired by biological elements such as nervous systems, immune systems and genetics have been used in data mining. This book, one of a series on the foundations of Computational Intelligence, is focused on bio-inspired data mining.
Автор: Hussein A. Abbass; Jason Scholz; Darryn J. Reid Название: Foundations of Trusted Autonomy ISBN: 3319648152 ISBN-13(EAN): 9783319648156 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book establishes the foundations needed to realize the ultimate goals for artificial intelligence, such as autonomy and trustworthiness. Aimed at scientists, researchers, technologists, practitioners, and students, it brings together contributions offering the basics, the challenges and the state-of-the-art on trusted autonomous systems in a single volume. The book is structured in three parts, with chapters written by eminent researchers and outstanding practitioners and users in the field. The first part covers foundational artificial intelligence technologies, while the second part covers philosophical, practical and technological perspectives on trust. Lastly, the third part presents advanced topics necessary to create future trusted autonomous systems. The book augments theory with real-world applications including cyber security, defence and space.
Автор: Bernard Candaele; Dimitrios Soudris; Iraklis Anagn Название: Trusted Computing for Embedded Systems ISBN: 331909419X ISBN-13(EAN): 9783319094199 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Trusted Computing for Embedded Systems
Автор: Moti Yung; Jianbiao Zhang; Zhen Yang Название: Trusted Systems ISBN: 3319315498 ISBN-13(EAN): 9783319315492 Издательство: Springer Рейтинг: Цена: 6988.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the thoroughly refereedpost-conference proceedings of the 7th International Conference on TrustedSystems, INTRUST 2015, held in Beijing, China, in December 2015. The revised 12 full papers presented have beencarefully reviewed and selected from 29 submissions.
Автор: Salmani Название: Trusted Digital Circuits ISBN: 3319790803 ISBN-13(EAN): 9783319790800 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book describes the integrated circuit supply chain flow and discusses security issues across the flow, which can undermine the trustworthiness of final design. Readers are introduced to design techniques for preventing hardware Trojan insertion and to facilitate hardware Trojan detection.
Автор: Osamu Watanabe; Thomas Zeugmann Название: Stochastic Algorithms: Foundations and Applications ISBN: 3642049435 ISBN-13(EAN): 9783642049439 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 5th International Symposium on Stochastic Algorithms, Foundations and Applications, SAGA 2009, held in Sapporo, Japan, in October 2009. The 15 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 22 submissions.
Автор: Z. Bankowski; I. White; Ulrike Hahn Название: Informatics and the Foundations of Legal Reasoning ISBN: 9048145422 ISBN-13(EAN): 9789048145423 Издательство: Springer Рейтинг: Цена: 31305.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Fourteen papers, together with a long analytical introduction by the editors, were selected from the contributions of legal theorists, computer scientists, philosophers and logicians who were members of an International Working Group supported by the European Commission.
Автор: Michel Dupuy; Pierre Paradinas Название: Trusted Information ISBN: 1475775369 ISBN-13(EAN): 9781475775365 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Others sessions are devoted to application like eSociety, TTP Management and PKI, Secure Workflow Environment, Secure Group Communications, and on the deployment of applications: Risk Management, Security Policies andTrusted System Design and Management.
Автор: Schapire Robert E., Freund Yoav Название: Boosting: Foundations and Algorithms ISBN: 0262526034 ISBN-13(EAN): 9780262526036 Издательство: MIT Press Рейтинг: Цена: 6772.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
An accessible introduction and essential reference for an approach to machine learning that creates highly accurate prediction rules by combining many weak and inaccurate ones.
Boosting is an approach to machine learning based on the idea of creating a highly accurate predictor by combining many weak and inaccurate "rules of thumb." A remarkably rich theory has evolved around boosting, with connections to a range of topics, including statistics, game theory, convex optimization, and information geometry. Boosting algorithms have also enjoyed practical success in such fields as biology, vision, and speech processing. At various times in its history, boosting has been perceived as mysterious, controversial, even paradoxical.
This book, written by the inventors of the method, brings together, organizes, simplifies, and substantially extends two decades of research on boosting, presenting both theory and applications in a way that is accessible to readers from diverse backgrounds while also providing an authoritative reference for advanced researchers. With its introductory treatment of all material and its inclusion of exercises in every chapter, the book is appropriate for course use as well.
The book begins with a general introduction to machine learning algorithms and their analysis; then explores the core theory of boosting, especially its ability to generalize; examines some of the myriad other theoretical viewpoints that help to explain and understand boosting; provides practical extensions of boosting for more complex learning problems; and finally presents a number of advanced theoretical topics. Numerous applications and practical illustrations are offered throughout.
Автор: Xin-She Yang; Xing-Shi He Название: Mathematical Foundations of Nature-Inspired Algorithms ISBN: 3030169359 ISBN-13(EAN): 9783030169350 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a systematic approach to analyze nature-inspired algorithms. Beginning with an introduction to optimization methods and algorithms, this book moves on to provide a unified framework of mathematical analysis for convergence and stability. Specific nature-inspired algorithms include: swarm intelligence, ant colony optimization, particle swarm optimization, bee-inspired algorithms, bat algorithm, firefly algorithm, and cuckoo search. Algorithms are analyzed from a wide spectrum of theories and frameworks to offer insight to the main characteristics of algorithms and understand how and why they work for solving optimization problems. In-depth mathematical analyses are carried out for different perspectives, including complexity theory, fixed point theory, dynamical systems, self-organization, Bayesian framework, Markov chain framework, filter theory, statistical learning, and statistical measures. Students and researchers in optimization, operations research, artificial intelligence, data mining, machine learning, computer science, and management sciences will see the pros and cons of a variety of algorithms through detailed examples and a comparison of algorithms.
Автор: Joost-Pieter Katoen; Rom Langerak; Arend Rensink Название: ModelEd, TestEd, TrustEd ISBN: 3319682695 ISBN-13(EAN): 9783319682693 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This Festschrift volume has been published in honor of Ed Brinksma, on the occasion of his 60th birthday. The contributions in this Festschrift are written by a number of Ed`s former Ph.D.
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