Jain / Tweedale | Recent Advances in Knowledge-based Paradigms and Applications | Buch | 978-3-319-01648-1 | www.sack.de

Buch, Englisch, Band 234, 205 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 3577 g

Reihe: Advances in Intelligent Systems and Computing

Jain / Tweedale

Recent Advances in Knowledge-based Paradigms and Applications

Enhanced Applications Using Hybrid Artificial Intelligence Techniques
2014
ISBN: 978-3-319-01648-1
Verlag: Springer International Publishing

Enhanced Applications Using Hybrid Artificial Intelligence Techniques

Buch, Englisch, Band 234, 205 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 3577 g

Reihe: Advances in Intelligent Systems and Computing

ISBN: 978-3-319-01648-1
Verlag: Springer International Publishing


This book presents carefully selected contributions devoted to the modern perspective of AI research and innovation. This collection covers several areas of applications and motivates new research directions. The theme across all chapters combines several domains of AI research, Computational Intelligence and Machine Intelligence including an introduction to  the recent research and models.

Each of the subsequent chapters reveals leading edge research and innovative solution that employ AI techniques with an applied perspective. The problems include classification of spatial images, early smoke detection in outdoor space from video images, emergent segmentation from image analysis, intensity modification in images, multi-agent modeling and analysis of stress. They all are novel pieces of work and demonstrate how AI research contributes to solutions for difficult real world problems that benefit the research community, industry and society.

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Zielgruppe


Research

Weitere Infos & Material


Advances in Modern Artificial Intelligence.- Computing efficiently spectral-spatial classification of hyperspectral images on commodity GPUs.-Early Smoke Detection in Outdoor Space by Spatio-temporal Clustering using a Single Video Camera.-Using evolved artificial neural networks for providing an emergent segmentation with an active net model.-Obtaining Shape from SEM Image Using Intensity Modification via Neural Network.-Fuzzy Evidence Reasoning and Position Fixing Segmentation of Hyperspectral Images by Chromatic by t-Watershed.-Impact of Migration Topologies on Performance of Teams of A-Teams.-A Cooperative Agent-Based Multiple Neighborhood Search for the Capacitated Vehicle Routing Problem.-Building an Automatic Body Condition Scoring System using Active Shape Models and Machine Learning.- The Impact of Network Characteristics on the Accuracy of Spatial Web Performance Forecasts Using Multi-Agent Systems Technique for Developing an Autonomous Model used to Analyze Work-Stress Data.



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