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: 14817.00 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: 9811387613 ISBN-13(EAN): 9789811387616 Издательство: Springer Рейтинг: Цена: 9756.00 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: 21953.00 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.
Автор: Michael Z. Zgurovsky; Yuriy P. Zaychenko Название: Big Data: Conceptual Analysis and Applications ISBN: 3030142973 ISBN-13(EAN): 9783030142971 Издательство: Springer Рейтинг: Цена: 15855.00 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.
This book is intended for academic and industrial developers, exploring and developing applications in the area of big data and machine learning, including those that are solving technology requirements, evaluation of methodology advances and algorithm demonstrations.
The intent of this book is to provide awareness of algorithms used for machine learning and big data in the academic and professional community. The 17 chapters are divided into 5 sections: Theoretical Fundamentals; Big Data and Pattern Recognition; Machine Learning: Algorithms & Applications; Machine Learning's Next Frontier and Hands-On and Case Study. While it dwells on the foundations of machine learning and big data as a part of analytics, it also focuses on contemporary topics for research and development. In this regard, the book covers machine learning algorithms and their modern applications in developing automated systems.
Subjects covered in detail include:
Mathematical foundations of machine learning with various examples.
An empirical study of supervised learning algorithms like Naпve Bayes, KNN and semi-supervised learning algorithms viz. S3VM, Graph-Based, Multiview.
Precise study on unsupervised learning algorithms like GMM, K-mean clustering, Dritchlet process mixture model, X-means and Reinforcement learning algorithm with Q learning, R learning, TD learning, SARSA Learning, and so forth.
Hands-on machine leaning open source tools viz. Apache Mahout, H2O.
Case studies for readers to analyze the prescribed cases and present their solutions or interpretations with intrusion detection in MANETS using machine learning.
Showcase on novel user-cases: Implications of Electronic Governance as well as Pragmatic Study of BD/ML technologies for agriculture, healthcare, social media, industry, banking, insurance and so on.
Автор: Alvin Albuero De Luna Название: Principles of Big Data ISBN: 1774076225 ISBN-13(EAN): 9781774076224 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 23423.00 р. Наличие на складе: Поставка под заказ.
Описание: Takes the readers through the various aspects of big data and explores the various important principles that it works on. Through the book the readers get a deeper insight on the big data and its application in the analytical world.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
