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Software Engineering, Artificial Intelligence, Networking and Parallel/Distribut

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
ISBN-13
9783642132643
Book Title
Software Engineering, Artificial Intelligence, Networking and Par
ISBN
9783642132643
Publication Year
2010
Series
Studies in Computational Intelligence Ser.
Type
Textbook
Format
Hardcover
Language
English
Publication Name
Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing 2010
Author
Roger Lee
Item Length
9.3in
Publisher
Springer Berlin / Heidelberg
Item Width
6.1in
Item Weight
33.2 Oz
Number of Pages
X, 166 Pages

About this product

Product Information

th The purpose of the 11 Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2010) held on June 9 - 11, 2010 in London, United Kingdom was to bring together researchers and scientists, businessmen and entrepreneurs, teachers and students to discuss the numerous fields of computer science, and to share ideas and information in a meaningful way. Our conference officers selected the best 15 papers from those papers accepted for presentation at the conference in order to publish them in this volume. The papers were chosen based on review scores submitted by members of the program committee, and underwent further rounds of rigorous review. In Chapter 1, Cai Luyuan et al. Present a new method of shape decomposition based on a refined morphological shape decomposition process. In Chapter 2, Kazunori Iwata et al. propose a method for reducing the margin of error in effort and error prediction models for embedded software development projects using artificial neural networks (ANNs). In Chapter 3, Viliam Simko et al. describe a model-driven tool that allows system code to be generated from use-cases in plain English. In Chapter 4, Abir Smiti and Zied Elouedi propose a Case Base Maintenance (CBM) method that uses machine learning techniques to preserve the maximum competence of a system. In Chapter 5, Shagufta Henna and Thomas Erlebach provide a simulation based analysis of some widely used broadcasting schemes within mobile ad hoc networks (MANETs) and propose adaptive extensions to an existing broadcasting algorithm.

Product Identifiers

Publisher
Springer Berlin / Heidelberg
ISBN-10
3642132642
ISBN-13
9783642132643
eBay Product ID (ePID)
102788724

Product Key Features

Author
Roger Lee
Publication Name
Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing 2010
Format
Hardcover
Language
English
Publication Year
2010
Series
Studies in Computational Intelligence Ser.
Type
Textbook
Number of Pages
X, 166 Pages

Dimensions

Item Length
9.3in
Item Width
6.1in
Item Weight
33.2 Oz

Additional Product Features

Series Volume Number
295
Number of Volumes
1 Vol.
Lc Classification Number
Q342
Table of Content
Shape Decomposition for Graph Representation.- Improving Accuracy of an Artificial Neural Network Model to Predict Effort and Errors in Embedded Software Development Projects.- From Textual Use-Cases to Component-Based Applications.- COID: Maintaining Case Method Based on Clustering, Outliers and Internal Detection.- Congestion and Network Density Adaptive Broadcasting in Mobile Ad Hoc Networks.- Design and Performance Evaluation of a Machine Learning-Based Method for Intrusion Detection.- Evolution of Competing Strategies in a Threshold Model for Task Allocation.- Efficient Mining of High Utility Patterns over Data Streams with a Sliding Window Method.- Resolving Sluices in Urdu.- Context Sensitive Gestures.- A Recommendation Framework for Mobile Phones Based on Social Network Data.- Language Modeling for Medical Article Indexing.
Copyright Date
2010
Topic
Software Development & Engineering / General, Engineering (General), Intelligence (Ai) & Semantics
Dewey Decimal
005.1
Intended Audience
Scholarly & Professional
Dewey Edition
22
Illustrated
Yes
Genre
Computers, Technology & Engineering

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