Описание: Recently, cryptology problems, such as designing good cryptographic systems and analyzing them, have been challenging researchers. Many algorithms that take advantage of approaches based on computational intelligence techniques, such as genetic algorithms, genetic programming, and so on, have been proposed to solve these issues.
Implementing Computational Intelligence Techniques for Security Systems Design is an essential research book that explores the application of computational intelligence and other advanced techniques in information security, which will contribute to a better understanding of the factors that influence successful security systems design. Featuring a range of topics such as encryption, self-healing systems, and cyber fraud, this book is ideal for security analysts, IT specialists, computer engineers, software developers, technologists, academicians, researchers, practitioners, and students.
Автор: Tshilidzi Marwala; Monica Lagazio Название: Militarized Conflict Modeling Using Computational Intelligence ISBN: 1447127013 ISBN-13(EAN): 9781447127017 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume offers a scientific approach to manage inter-country conflict. Readers will find that through simultaneous control of four specific aspects (democracy, dependency, allies and capacity), predicted dispute outcomes can be avoided.
Описание: Assesses the benefits of learning methods in the data-mining area for information-security applications. This book includes such topics as information security, data mining, adaptive learning methods and soft computing among others.
Описание: This research book presents the use of computational intelligence paradigms in the bioprocess-related tasks of modeling, supervision, monitoring and control, diagnostic, learning and optimization. All have applications to a wide variety of other areas.
Описание: This book details advanced methods for tuning finite element simulations to measured data. Case studies demonstrate the principles and test the viability of the approaches. Coverage also critically analyzes the state of the art in FEM updating.
Автор: P.V. Lakshmi; Wengang Zhou; P Satheesh Название: Computational Intelligence Techniques in Health Care ISBN: 9811003076 ISBN-13(EAN): 9789811003073 Издательство: Springer Рейтинг: Цена: 9141.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presentsresearch on emerging computational intelligence techniques and tools, with aparticular focus on newtrends and applications in health care. Healthcare is a multi-faceted domain,which incorporates advanced decision-making, remote monitoring, healthcarelogistics, operational excellence and modern information systems.
Автор: Tanvir Islam; Prashant K. Srivastava; Manika Gupta Название: Computational Intelligence Techniques in Earth and Environmental Sciences ISBN: 940240239X ISBN-13(EAN): 9789402402391 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Computational intelligence techniques have enjoyed growing interest in recent decades among the earth and environmental science research communities for their powerful ability to solve and understand various complex problems and develop novel approaches toward a sustainable earth.
Автор: Kit Yan Chan; Yuk Shan Wong; Tharam S. Dillon Название: Computational Intelligence Techniques for New Product Design ISBN: 3642440673 ISBN-13(EAN): 9783642440670 Издательство: Springer Рейтинг: Цена: 22201.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Using computational intelligence in product design is a fast-growing and promising research area in computer sciences and industrial engineering. These assembled papers from the CIMA 2010 workshop cover the full spectrum of topics in this exciting field.
Автор: Shubhabrata Datta Название: Materials Design Using Computational Intelligence Techniques ISBN: 1482238322 ISBN-13(EAN): 9781482238327 Издательство: Taylor&Francis Рейтинг: Цена: 25265.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book illustrates the alternative but effective methods of designing materials, where models are developed through capturing the inherent correlations among the variables on the basis of available imprecise knowledge in the form of rules or database.
Автор: Paolo Gastaldo; Rodolfo Zunino; Emilio Corchado Название: Computational Intelligence in Security for Information Systems ISBN: 364204090X ISBN-13(EAN): 9783642040900 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Second International Workshop on Computational Intelligence for Security in Information Systems (CISIS`09) presented the most recent developments in the - namically expanding realm of several fields such as Data Mining and Intelligence, Infrastructure Protection, Network Security, Biometry and Industrial Perspectives.
Автор: Saqib Ali; Taiseera Al Balushi; Zia Nadir; Omar Kh Название: Cyber Security for Cyber Physical Systems ISBN: 3319758799 ISBN-13(EAN): 9783319758794 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is a pioneering yet primary general reference resource on cyber physical systems and their security concerns. Providing a fundamental theoretical background, and a clear and comprehensive overview of security issues in the domain of cyber physical systems, it is useful for students in the fields of information technology, computer science, or computer engineering where this topic is a substantial emerging area of study.
Автор: Sasikumar Gurumoorthy; Naresh Babu Muppalaneni; Xi Название: Computational Intelligence Techniques in Diagnosis of Brain Diseases ISBN: 9811065284 ISBN-13(EAN): 9789811065286 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book highlights a new biomedical signal processing method of extracting a specific underlying signal from possibly noisy multi-channel recordings, and shows that the method is suitable for extracting independent components from the measured electroencephalogram (EEG) signal.
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