Описание: The increasing presence of mobile robots in our everyday lives introduces the requirements for their intelligent and autonomous features. Therefore the next generation of mobile robots should be more self-capable, in respect to: increasing of their functionality in unforeseen situations, decreasing of the human involvement in their everyday operations and their maintenance; being robust; fault tolerant and reliable in their operation.Although mobile robotic systems have been a topic of research for decades and aside the technology improvements nowadays, the subject on how to program and making them more autonomous in their operations is still an open field for research.Applying bio-inspired, organic approaches in robotics domain is one of the methodologies that are considered that would help on making the robots more autonomous and self-capable, i.e. having properties such as: self-reconfiguration, self-adaptation, self-optimization, etc.In this book several novel biologically inspired approaches for walking robots (multi-legged and humanoid) domain are introduced and elaborated. They are related to self-organized and self-stabilized robot walking, anomaly detection within robot systems using self-adaptation, and mitigating the faulty robot conditions by self-reconfiguration of a multi-legged walking robot. The approaches presented have been practically evaluated in various test scenarios, the results from the experiments are discussed in details and their practical usefulness is validated.
Автор: Chein-I Chang Название: Real-Time Progressive Hyperspectral Image Processing ISBN: 1441961860 ISBN-13(EAN): 9781441961860 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Focusing on the architecture and implementation of algorithms, this volume presents real-time and causal processing implementation, as well as architectures of FPGA design and parallel processing. Readers will find coverage of applications to both imaging and medical imaging.
Описание: This book explores recursive architectures in designing progressive hyperspectral imaging algorithms. This book can be considered a companion book of author`s books, Real-Time Progressive Hyperspectral Image Processing, published by Springer in 2016.
Автор: Prasad, Saurabh, Chanussot, Jocelyn Название: Hyperspectral Image Analysis ISBN: 3030386163 ISBN-13(EAN): 9783030386160 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book reviews the state of the art in algorithmic approaches addressing the practical challenges that arise with hyperspectral image analysis tasks, with a focus on emerging trends in machine learning and image processing/understanding.
Название: Hyperspectral Image Fusion ISBN: 1461474698 ISBN-13(EAN): 9781461474692 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Hyperspectral Image Fusion is the first text dedicated to the fusion techniques for such a huge volume of data consisting of a very large number of images.
Автор: Subhasis Chaudhuri; Ketan Kotwal Название: Hyperspectral Image Fusion ISBN: 1489993754 ISBN-13(EAN): 9781489993755 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Hyperspectral Image Fusion is the first text dedicated to the fusion techniques for such a huge volume of data consisting of a very large number of images.
Описание: The book introduces novel Bayesian topic models for detection of events that are different from typical activities and a novel framework for change point detection for identifying sudden behavioural changes.Behaviour analysis and anomaly detection are key components of intelligent vision systems.
Автор: Chein-I Chang Название: Real-Time Recursive Hyperspectral Sample and Band Processing ISBN: 3319451707 ISBN-13(EAN): 9783319451701 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explores recursive architectures in designing progressive hyperspectral imaging algorithms. This book can be considered a companion book of author`s books, Real-Time Progressive Hyperspectral Image Processing, published by Springer in 2016.
Автор: Shi Jin; Zhaobo Zhang; Krishnendu Chakrabarty; Xin Название: Anomaly-Detection and Health-Analysis Techniques for Core Router Systems ISBN: 3030336638 ISBN-13(EAN): 9783030336639 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book tackles important problems of anomaly detection and health status analysis in complex core router systems, integral to today`s Internet Protocol (IP) networks.
Описание: The book introduces novel Bayesian topic models for detection of events that are different from typical activities and a novel framework for change point detection for identifying sudden behavioural changes.Behaviour analysis and anomaly detection are key components of intelligent vision systems.
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