Applying Soft Computing in Defining Spatial Relations, Pascal Matsakis; Les M. Sztandera

Автор: Bihlmaier
Название: Learning Dynamic Spatial Relations
ISBN: 3658149132 ISBN-13(EAN): 9783658149130
Издательство: Springer
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Описание: Andreas Bihlmaier describes a novel method to model dynamic spatial relations by machine learning techniques. The method is applied to the task of representing the tacit knowledge of a trained camera assistant in minimally-invasive surgery. The model is then used for intraoperative control of a robot that autonomously positions the endoscope. Furthermore, a modular robotics platform is described, which forms the basis for this knowledge-based assistance system. Promising results from a complex phantom study are presented.

Автор: Anna M. Gil-Lafuente; Jaime Gil-Lafuente; Jos? M.
Название: Soft Computing in Management and Business Economics
ISBN: 3642437184 ISBN-13(EAN): 9783642437182
Издательство: Springer
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Цена: 26120.00 р.
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Описание: This book is a collection of selected papers presented at the Annual Meeting of the European Academy of Management and Business Economics (AEDEM), held at the Faculty of Economics and Business of the University of Barcelona, 05 - 07 June, 2012.

Автор: Srikanta Patnaik; Baojiang Zhong
Название: Soft Computing Techniques in Engineering Applications
ISBN: 3319375016 ISBN-13(EAN): 9783319375014
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This book details recent research on soft computing techniques in vision science. It presents basic research extending to visual perception and visual system, cognitive psychology and psychophysics.

Автор: Mousmita Sarma; Kandarpa Kumar Sarma
Название: Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework
ISBN: 8132235150 ISBN-13(EAN): 9788132235156
Издательство: Springer
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Описание: The book discusses intelligent system design using soft computing and similar systems and their interdisciplinary applications. It also focuses on the recent trends to use soft computing as a versatile tool for designing a host of decision support systems.

Автор: Nadia Nedjah; Luiza de Macedo Mourelle
Название: Hardware for Soft Computing and Soft Computing for Hardware
ISBN: 3319378740 ISBN-13(EAN): 9783319378749
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This book presents hardware designs for soft computing techniques that can be embedded in any final product. It also introduces soft computing techniques that can be used to solve many hard problems encountered during the design of embedded hardware designs.

Автор: Matt Duckham
Название: Decentralized Spatial Computing
ISBN: 3642441300 ISBN-13(EAN): 9783642441301
Издательство: Springer
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Цена: 10447.00 р.
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Описание: This book covers the foundational concepts, structures and design techniques for decentralized computing with spatial and spatiotemporal information, applying these through a suite of increasingly sophisticated algorithms, and describing their application.

Название: Mapping Spatial Relations, Their Perceptions and Dynamics
ISBN: 3319009923 ISBN-13(EAN): 9783319009926
Издательство: Springer
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Цена: 18284.00 р.
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Описание: This book focuses on the potential mapping of perceived urban space and spatial hierarchies as a consequence of social usage together with spatio-temporal changes as a result of factors such as demographic urban growth and decline.

Автор: Susanne Rau; Ekkehard Sch?nherr
Название: Mapping Spatial Relations, Their Perceptions and Dynamics
ISBN: 331937608X ISBN-13(EAN): 9783319376080
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This book focuses on the potential mapping of perceived urban space and spatial hierarchies as a consequence of social usage together with spatio-temporal changes as a result of factors such as demographic urban growth and decline.

Автор: Christian Borgelt; Mar?a ?ngeles Gil; Jo?o M.C. So
Название: Towards Advanced Data Analysis by Combining Soft Computing and Statistics
ISBN: 3642443745 ISBN-13(EAN): 9783642443749
Издательство: Springer
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Цена: 20896.00 р.
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Описание: This book blends the adaptability and speed of soft computing with the rigor and precision of statistics to enhance the robustness and generalizability of data analysis, while preserving the flexibility to solve real-world problems intuitively and efficiently.

Автор: Shin-ya Kobayashi; Andrzej Piegat; Jerzy Peja?; Im
Название: Hard and Soft Computing for Artificial Intelligence, Multimedia and Security
ISBN: 3319484281 ISBN-13(EAN): 9783319484280
Издательство: Springer
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Цена: 27950.00 р.
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Описание: This book gathers the proceedings of the 20th International Conference on Advanced Computer Systems 2016, held in Mi?dzyzdroje (Poland) on October 19–21, 2016. Addressing topics that include artificial intelligence (AI), software technologies, multimedia systems, IT security and design of information systems, the main purpose of the conference and the book is to create an opportunity to exchange significant insights on this area between science and business. In particular, this expertise concerns the use of hard and soft computational methods for artificial intelligence, image and data processing, and finally, the design of information and security systems. The book contains a collection of carefully selected, peer-reviewed papers, combining high-quality original unpublished research, case studies, and implementation experiences.

Автор: Rafael Espin; Rafael Bello P?rez; Angel Cobo; Jorg
Название: Soft Computing for Business Intelligence
ISBN: 3662509032 ISBN-13(EAN): 9783662509036
Издательство: Springer
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Цена: 18284.00 р.
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Описание: Written by leading experts in the field, this interdisciplinary volume contains more than 25 papers divided into three sections covering soft computing, business intelligence and knowledge discovery, and knowledge management and decision-making.

Автор: Pritpal Singh
Название: Applications of Soft Computing in Time Series Forecasting
ISBN: 331938726X ISBN-13(EAN): 9783319387260
Издательство: Springer
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Цена: 13059.00 р.
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Описание: It reviews and summarizes previous research work in FTS modeling and also provides a brief introduction to other soft-computing techniques, such as artificial neural networks (ANNs), rough sets (RS) and evolutionary computing (EC), focusing on how these techniques can be integrated into different phases of the FTS modeling approach.