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Bioinformatics Programming Using Python: Practical Programming for Biological Data (Animal Guide)
Bioinformatics Programming Using Python: Practical Programming for Biological Data (Animal Guide)

Powerful, flexible, and easy to use, Python is an ideal language for building software tools and applications for life science research and development. This unique book shows you how to program with Python, using code examples taken directly from bioinformatics. In a short time, you'll be using sophisticated techniques and...

Handbook of Computer Vision and Applications, Volume 1
Handbook of Computer Vision and Applications, Volume 1
This handbook o ers a fresh approach to computer vision. The whole vision process from image formation to measuring, recognition, or reacting is regarded as an integral process. Computer vision is understood as the host of techniques to acquire, process, analyze, and understand complex higher-dimensional data from our environment...
Cluster Analysis for Data Mining and System Identification
Cluster Analysis for Data Mining and System Identification

Data clustering is a common technique for statistical data analysis, which is used in many fields, including machine learning, data mining, pattern recognition, image analysis and bioinformatics. Clustering is the classification of similar objects into different groups, or more precisely, the partitioning of a data set into subsets...

Pulmonary Manifestations of Primary Immunodeficiency Diseases
Pulmonary Manifestations of Primary Immunodeficiency Diseases
This book provides a broad overview of  the respiratory manifestations associated with Primary Immune deficiencies (PID) congenital genetic defects such as infections, chronic inflammation, autoimmunity, lymphoproliferation, allergic manifestations and rare forms of cancer.

Since the most common site of involvement in PID is...

Data Access Patterns: Database Interactions in Object-Oriented Applications
Data Access Patterns: Database Interactions in Object-Oriented Applications

Efficient, high-quality data access code is crucial to the performance and usability of virtually any enterprise application-and there's no better way to improve an existing system than to optimize its data access code. Regardless of database engine, platform, language, or application, developers repeatedly encounter the same...

The Neural Simulation Language: A System for Brain Modeling
The Neural Simulation Language: A System for Brain Modeling
The Neural Simulation Language (NSL), developed by Alfredo Weitzenfeld, Michael Arbib, and Amanda Alexander, provides a simulation environment for modular brain modeling. NSL is an object-oriented language offering object-oriented protocols applicable to all levels of neural simulation. One of NSL's main strengths is that it allows for realistic...
REST in Practice: Hypermedia and Systems Architecture
REST in Practice: Hypermedia and Systems Architecture

Why don't typical enterprise projects go as smoothly as projects you develop for the Web? Does the REST architectural style really present a viable alternative for building distributed systems and enterprise-class applications?

In this insightful book, three SOA experts provide a down-to-earth explanation of REST and...

Computer Processing of Remotely-Sensed Images: An Introduction
Computer Processing of Remotely-Sensed Images: An Introduction

Remotely-sensed images of the Earth's surface provide a valuable source of information about the geographical distribution and properties of natural and cultural features. This fully revised and updated edition of a highly regarded textbook deals with the mechanics of processing remotely-senses images. Presented in an accessible manner,...

Wavelet Theory and Its Application to Pattern Recognition (Series in Machine Perception and Artificial Intelligence)
Wavelet Theory and Its Application to Pattern Recognition (Series in Machine Perception and Artificial Intelligence)

This 2nd edition is an update of the book "Wavelet Theory and Its Application to Pattern Recognition" published in 2000. Three new chapters, which are research results conducted during 2001-2008, will be added. The book consists of two parts - the first contains the basic theory of wavelet analysis and the second includes...

Meta-Learning in Computational Intelligence (Studies in Computational Intelligence)
Meta-Learning in Computational Intelligence (Studies in Computational Intelligence)

In the early days of pattern recognition and statistical data analysis life was rather simple: datasets were relatively small, collected from well-designed experiments, analyzed using a few methods that had good theoretical background. Explosive growth of the use of computers led to the creation of huge amounts of data of all kinds,...

Direct-Write Technologies for Rapid Prototyping Applications: Sensors, Electronics, and Integrated Power Sources
Direct-Write Technologies for Rapid Prototyping Applications: Sensors, Electronics, and Integrated Power Sources

Direct-Write Technologies covers applications, materials, and the techniques in using direct-write technologies. This book provides an overview of the different direct write techniques currently available, as well as a comparison between the strengths and special attributes for each of the techniques. The techniques described open the...

Jess in Action: Java Rule-Based Systems
Jess in Action: Java Rule-Based Systems
A practical handbook for anyone interested in programming rule-based systems and written by the creator of the popular Java rule engine, Jess, this book is structured around a series of large, fully developed practical examples of rule-based programming in Java. After the topic of rule-based systems is introduced, software developers and...
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