Introduction to Intelligent Surveillance, Wei Qi Yan
Автор: Gautam Srivastava, Uttam Ghosh, Jerry Chun-Wei Lin Название: Security and Risk Analysis for Intelligent Edge Computing ISBN: 3031281497 ISBN-13(EAN): 9783031281495 Издательство: Springer Рейтинг: Цена: 20733.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers the latest research results in security and privacy for Intelligent Edge Computing Systems. It presents state-of-the art content and provides an in-depth overview of the basic background in this related field. Practical areas in both security and risk analysis are addressed as well as connections directly linked to Edge Computing paradigms. This book also offers an excellent foundation on the fundamental concepts and principles of security, privacy and risk analysis in Edge Computation infrastructures. It guides the reader through the core ideas with relevant ease. Edge Computing has burst onto the computational scene offering key technologies for allowing more flexibility at the edge of networks. As Edge Computing has evolved as well as the need for more in-depth solutions in security, privacy and risk analysis at the edge. This book includes various case studies and applications on Edge Computing. It includes the Internet of Things related areas, such as smart cities, blockchain, mobile networks, federated learning, cryptography and cybersecurity. This book is one of the first reference books covering security and risk analysis in Edge Computing Systems. Researchers and advanced-level students studying or working in Edge Computing and related security fields will find this book useful as a reference. Decision makers, managers and professionals working within these fields will want to purchase this book as well.
Автор: Ming Li; Paul M.B. Vit?nyi Название: An Introduction to Kolmogorov Complexity and Its Applications ISBN: 1489984453 ISBN-13(EAN): 9781489984456 Издательство: Springer Рейтинг: Цена: 8537.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Written by two experts in the field, this is the only comprehensive and unified treatment of the central ideas and applications of Kolmogorov complexity. The book presents a thorough treatment of the subject with a wide range of illustrative applications.
Автор: Omar Javed; Mubarak Shah Название: Automated Multi-Camera Surveillance ISBN: 1441946268 ISBN-13(EAN): 9781441946263 Издательство: Springer Рейтинг: Цена: 15855.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book addresses monitoring of people and vehicles and detection of threatening objects and events in a variety of scenarios. It discusses and proposes techniques for the development of an automated multi-camera surveillance system.
Автор: Uwe M. Borghoff; Johann H. Schlichter Название: Computer-Supported Cooperative Work ISBN: 3642086314 ISBN-13(EAN): 9783642086311 Издательство: Springer Рейтинг: Цена: 10361.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A detailed introduction to interdisciplinary application area of distributed systems, namely the computer support of individuals trying to solve a problem in cooperation with each other but not necessarily having identical work places or working times.
Автор: Igual, Laura, Segu?, Santi Название: Introduction to data science. ISBN: 3319500163 ISBN-13(EAN): 9783319500164 Издательство: Springer Рейтинг: Цена: 6841.00 р. Наличие на складе: Поставка под заказ.
Описание: The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentiment analysis.
Название: Introduction to Deep Learning ISBN: 3319730037 ISBN-13(EAN): 9783319730035 Издательство: Springer Рейтинг: Цена: 6097.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This textbook presents a concise, accessible and engaging first introduction to deep learning, offering a wide range of connectionist models which represent the current state-of-the-art. The text explores the most popular algorithms and architectures in a simple and intuitive style, explaining the mathematical derivations in a step-by-step manner. The content coverage includes convolutional networks, LSTMs, Word2vec, RBMs, DBNs, neural Turing machines, memory networks and autoencoders. Numerous examples in working Python code are provided throughout the book, and the code is also supplied separately at an accompanying website.Topics and features: introduces the fundamentals of machine learning, and the mathematical and computational prerequisites for deep learning; discusses feed-forward neural networks, and explores the modifications to these which can be applied to any neural network; examines convolutional neural networks, and the recurrent connections to a feed-forward neural network; describes the notion of distributed representations, the concept of the autoencoder, and the ideas behind language processing with deep learning; presents a brief history of artificial intelligence and neural networks, and reviews interesting open research problems in deep learning and connectionism.This clearly written and lively primer on deep learning is essential reading for graduate and advanced undergraduate students of computer science, cognitive science and mathematics, as well as fields such as linguistics, logic, philosophy, and psychology.
Автор: Annalisa Appice; Anna Ciampi; Fabio Fumarola; Dona Название: Data Mining Techniques in Sensor Networks ISBN: 1447154533 ISBN-13(EAN): 9781447154532 Издательство: Springer Рейтинг: Цена: 6097.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Sensor networks comprise of a number of sensors installed across a spatially distributed network, which gather information and periodically feed a central server with the measured data. One solution is to compute summaries of the data as it arrives, and to use these summaries to interpolate the real data.
Автор: Rowe Название: Introduction to Cyberdeception ISBN: 3319411853 ISBN-13(EAN): 9783319411859 Издательство: Springer Рейтинг: Цена: 8537.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book is an introduction to both offensive and defensive techniques of cyberdeception. Unlike most books on cyberdeception, this book focuses on methods rather than detection. It treats cyberdeception techniques that are current, novel, and practical, and that go well beyond traditional honeypots. It contains features friendly for classroom use: (1) minimal use of programming details and mathematics, (2) modular chapters that can be covered in many orders, (3) exercises with each chapter, and (4) an extensive reference list.
Cyberattacks have grown serious enough that understanding and using deception is essential to safe operation in cyberspace. The deception techniques covered are impersonation, delays, fakes, camouflage, false excuses, and social engineering. Special attention is devoted to cyberdeception in industrial control systems and within operating systems. This material is supported by a detailed discussion of how to plan deceptions and calculate their detectability and effectiveness. Some of the chapters provide further technical details of specific deception techniques and their application.
Cyberdeception can be conducted ethically and efficiently when necessary by following a few basic principles. This book is intended for advanced undergraduate students and graduate students, as well as computer professionals learning on their own. It will be especially useful for anyone who helps run important and essential computer systems such as critical-infrastructure and military systems.
Описание: This textbook provides engineering students with instruction on processing signals encountered in speech, music, and wireless communications using software or hardware by employing basic mathematical methods. The book starts with an overview of signal processing, introducing readers to the field. It goes on to give instruction in converting continuous time signals into digital signals and discusses various methods to process the digital signals, such as filtering. The author uses MATLAB throughout as a user-friendly software tool to perform various digital signal processing algorithms and to simulate real-time systems. Readers learn how to convert analog signals into digital signals; how to process these signals using software or hardware; and how to write algorithms to perform useful operations on the acquired signals such as filtering, detecting digitally modulated signals, correcting channel distortions, etc. Students are also shown how to convert MATLAB codes into firmware codes. Further, students will be able to apply the basic digital signal processing techniques in their workplace. The book is based on the author's popular online course at University of California, San Diego.
Автор: Rowe Neil C., Rrushi Julian Название: Introduction to Cyberdeception ISBN: 3319822888 ISBN-13(EAN): 9783319822884 Издательство: Springer Рейтинг: Цена: 8537.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is an introduction to both offensive and defensive techniques of cyberdeception. Special attention is devoted to cyberdeception in industrial control systems and within operating systems.
Автор: Bressoud Thomas, White David Название: Introduction to Data Systems: Building from Python ISBN: 3030543730 ISBN-13(EAN): 9783030543730 Издательство: Springer Рейтинг: Цена: 6097.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Part I Foundation.- 1. Introduction.- 2. File Systems and File Processing.- 3. Python Native Data Structures.- 4. Regular Expressions.- Part II Data Systems: The Data Models.- 5. Data Systems Models.- 6. Tabular Model: Structure and Formats.- 7. Tabular Model: Access Operations and pandas.- 8. Tabular Model: Advanced Operations and pandas.- 9. Tabular Model: Transformations and Constraints.- 10. Relational Model: Structure and Architecture.- 11. Relational Operations: Single Table.- 12. Relational Operations: Multiple Tables.- 13. Relational Database Programming.- 14. Relational Model: Design, Constraints, and Creation.- 15. Hierarchical Model: Structure and Formats.- 16. Hierarchical Model: Operations and Programming.- 17. Hierarchical Model: Constraints.- Part III Data Systems: The Data Sources.- 18. Overview of Data Systems Sources.- 19. Networking and Client-Server.- 20. The HyperText Transfer Protocol.- 21. Interlude: Client Data Acquisition.- 22. Web Scraping.- 23. RESTful Application Programming Interfaces.- 24. Authentication and Authorization.
Автор: Daniel Stadler, Jurgen Beyerer, Raphael Hagmanns Название: Pattern Recognition: Introduction, Features, Classifiers and Principles ISBN: 311133919X ISBN-13(EAN): 9783111339191 Издательство: Walter de Gruyter Рейтинг: Цена: 14867.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The book offers a thorough introduction to Pattern Recognition aimed at master and advanced bachelor students of engineering and the natural sciences. Besides classification - the heart of Pattern Recognition - special emphasis is put on features, their typology, their properties and their systematic construction. Additionally, general principles that govern Pattern Recognition are illustrated and explained in a comprehensible way. Rather than presenting a complete overview over the rapidly evolving field, the book is to clarifies the concepts so that the reader can easily understand the underlying ideas and the rationale behind the methods. For this purpose, the mathematical treatment of Pattern Recognition is pushed so far that the mechanisms of action become clear and visible, but not farther. Therefore, not all derivations are driven into the last mathematical detail, as a mathematician would expect it. Ideas of proofs are presented instead of complete proofs. From the authors’ point of view, this concept allows to teach the essential ideas of Pattern Recognition with sufficient depth within a relatively lean book.
Mathematical methods explained thoroughly Extremely practical approach with many examples Based on over ten years lecture at Karlsruhe Institute of Technology For students but also for practitioners
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
