Описание: Over the past decade, many researchers have proposed applications of fuzzy transform techniques for various image processing topics, such as image coding/decoding, image reduction, image segmentation, image watermarking and image fusion;
Автор: Valentina Emilia Balas; J?nos Fodor; Annam?ria R. Название: New Concepts and Applications in Soft Computing ISBN: 3642445276 ISBN-13(EAN): 9783642445279 Издательство: Springer Рейтинг: Цена: 16977.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a sample of research on the innovative theory and applications of soft computing paradigms, which unlike traditional, hard computing, is aimed at an accommodation with the pervasive imprecision of the real world.
Описание: This book provides concise yet thorough coverage of the fundamentals and technology of fuzzy sets. Timely topics and recent advances in fuzzy modeling and its principles, neurocomputing, fuzzy set estimation, granulation-degranulation, and fuzzy sets of higher type and order are discussed.
Описание: This book gathers selected papers presented at the conference "Advances in 3D Image and Graphics Representation, Analysis, Computing and Information Technology," one of the first initiatives devoted to the problems of 3D imaging in all contemporary scientific and application areas.
Описание: This book addresses topics related to cloud and Big Data technologies, architecture and applications including distributed computing and data centers, cloud infrastructure and security, and end-user services.
Автор: Sudeep Tanwar; Sudhanshu Tyagi; Neeraj Kumar Название: Multimedia Big Data Computing for IoT Applications ISBN: 9811387583 ISBN-13(EAN): 9789811387586 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Нет в наличии.
Описание: This book considers all aspects of managing the complexity of Multimedia Big Data Computing (MMBD) for IoT applications and develops a comprehensive taxonomy. It also discusses a process model that addresses a number of research challenges associated with MMBD, such as scalability, accessibility, reliability, heterogeneity, and Quality of Service (QoS) requirements, presenting case studies to demonstrate its application. Further, the book examines the layered architecture of MMBD computing and compares the life cycle of both big data and MMBD. Written by leading experts, it also includes numerous solved examples, technical descriptions, scenarios, procedures, and algorithms.
Автор: Sudeep Tanwar; Sudhanshu Tyagi; Neeraj Kumar Название: Multimedia Big Data Computing for IoT Applications ISBN: 9811387613 ISBN-13(EAN): 9789811387616 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Нет в наличии.
Описание: This book considers all aspects of managing the complexity of Multimedia Big Data Computing (MMBD) for IoT applications and develops a comprehensive taxonomy. Further, the book examines the layered architecture of MMBD computing and compares the life cycle of both big data and MMBD.
Описание: This book addresses the impacts of various types of services such as infrastructure, platforms, software, and business processes that cloud computing and Big Data have introduced into business.
Автор: Zin Название: Big Data Analysis and Deep Learning Applications ISBN: 9811308683 ISBN-13(EAN): 9789811308680 Издательство: Springer Рейтинг: Цена: 25155.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Big data analysis.- Machine learning and applications.- Monitoring system by using image processing.- Conventional neural networks and its applications.- Information and communication.- Industrial information systems and applications.
This book addresses the impacts of various types of services such as infrastructure, platforms, software, and business processes that cloud computing and Big Data have introduced into business. Featuring chapters which discuss effective and efficient approaches in dealing with the inherent complexity and increasing demands in data science, a variety of application domains are covered. Various case studies by data management and analysis experts are presented in these chapters. Covered applications include banking, social networks, bioinformatics, healthcare, transportation and criminology. Highlighting the Importance of Big Data Management and Analysis for Various Applications will provide the reader with an understanding of how data management and analysis are adapted to these applications. This book will appeal to researchers and professionals in the field.
Автор: Michael Z. Zgurovsky; Yuriy P. Zaychenko Название: Big Data: Conceptual Analysis and Applications ISBN: 3030142973 ISBN-13(EAN): 9783030142971 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book is devoted to the analysis of big data in order to extract from these data hidden patterns necessary for making decisions about the rational behavior of complex systems with the different nature that generate this data. To solve these problems, a group of new methods and tools is used, based on the self-organization of computational processes, the use of crisp and fuzzy cluster analysis methods, hybrid neural-fuzzy networks, and others. The book solves various practical problems. In particular, for the tasks of 3D image recognition and automatic speech recognition large-scale neural networks with applications for Deep Learning systems were used. Application of hybrid neuro-fuzzy networks for analyzing stock markets was presented. The analysis of big historical, economic and physical data revealed the hidden Fibonacci pattern about the course of systemic world conflicts and their connection with the Kondratieff big economic cycles and the Schwabe–Wolf solar activity cycles. The book is useful for system analysts and practitioners working with complex systems in various spheres of human activity.
Описание: The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data.
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