Learn IT - Books tags fusion

Nonlinear integrals and their applications in data mining (Advances in Fuzzy Systemss - Applications and Theory)

World Scientific Publishing, 2010

Regarding the set of all feature attributes in a given database as the universal set, this monograph discusses various nonadditive set functions that describe the interaction among the contributions from feature attributes towards a considered target attribute. Then, the relevant nonlinear integrals are investigated. These integrals can be...

Digital Signal Processing Demystified (Engineering Mentor Series)

Newnes, 1997

James D. Broesch is a staff engineer for General Atomics, where he is responsible for the design and development of several advanced control systems used on fusion control programs. He also teaches classes in signal processing and hardware design at the University of California-San Diego.
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Autonomous Mobile Robots: Sensing, Control, Decision Making and Applications (Control Engineering)

CRC Press, 2006

It has long been the goal of engineers to develop tools that enhance our ability to do work, increase our quality of life, or perform tasks that are either beyond our ability, too hazardous, or too tedious to be left to human efforts. Autonomous mobile robots are the culmination of decades of research and development, and their potential is...

Vision Based Systemsfor UAV Applications (Studies in Computational Intelligence)

Springer, 2013

This monograph is motivated by a significant number of vision based algorithms for Unmanned Aerial Vehicles (UAV) that were developed during research and development projects. Vision information is utilized in various applications like visual surveillance, aim systems, recognition systems, collision-avoidance systems and navigation. This book...

Data Modeling for Metrology and Testing in Measurement Science

Birkhauser, 2008

This book and companion DVD provide a comprehensive set of modeling methods for data and uncertainty analysis, taking readers beyond mainstream methods described in standard texts. The emphasis throughout is on techniques having a broad range of real-world applications in measurement science. Mainstream methods of data modeling and analysis...

Handbook of Multisensor Data Fusion: Theory and Practice, Second Edition (Electrical Engineering and Applied Signal Processing)

CRC Press, 2008

In the years since the bestselling first edition, fusion research and applications have adapted to service-oriented architectures and pushed the boundaries of situational modeling in human behavior, expanding into fields such as chemical and biological sensing, crisis management, and intelligent buildings.

Handbook of Multisensor Data...

Image Processing in Radiology: Current Applications (Medical Radiology / Diagnostic Imaging)

Springer, 2007

Computer applications for image processing in radiological imaging have matured over the past decade and are now considered an indispensable tool for extracting maximal information from the enormous amount of data obtained with the new cross-sectional techniques such as ultrasound, computed tomography and magnetic resonance...

Medical Image Analysis

John Wiley & Sons, 2011

The expanded and revised edition will split Chapter 4 to include more details and examples in FMRI, DTI, and DWI for MR image modalities. The book will also expand ultrasound imaging to 3-D dynamic contrast ultrasound imaging in a separate chapter.

A new chapter on Optical Imaging Modalities elaborating microscopy, confocal...

Face Biometrics for Personal Identification: Multi-Sensory Multi-Modal Systems (Signals and Communication Technology)

Springer, 2007

From time immemorial, the security realm and personal identification task had shown progress by employing technological means like secret knowledge as passwords and Personal Identification Numbers, and by using personal possessions as identity cards and Radio Frequency Identification chips. As opposed to these means which are...

Computational Intelligence Paradigms: Innovative Applications (Studies in Computational Intelligence)

Springer, 2008

System designers are faced with a large set of data which has to be analysed and processed efficiently. Advanced computational intelligence paradigms present tremendous advantages by offering capabilities such as learning, generalisation and robustness. These capabilities help in designing complex systems which are intelligent and robust.

The...

Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms: Industrial Applications

CRC Press, 1998

Artificial neural networks can mimic the biological information-processing mechanism in - a very limited sense. Fuzzy logic provides a basis for representing uncertain and imprecise knowledge and forms a basis for human reasoning. Neural networks display genuine promise in solving problems, but a definitive theoretical basis does not yet exist for...

Oracle WebLogic Server 12c Advanced Administration Cookbook

Packt Publishing, 2013

If you want to extend your capabilities in administering Oracle WebLogic Server, this is the helping hand you’ve been looking for. With 70 recipes covering both basic and advanced topics, it will provide a new level of expertise.

Overview

Learn how to set a WebLogic environment with stability, high...

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