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Applications and Innovations in Intelligent Systems XVI

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Cover of 'Applications and Innovations in Intelligent Systems XVI'

Table of Contents

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    Book Overview
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    Chapter 1 Wireless LAN Load-Balancing with Genetic Algorithms
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    Chapter 2 Computer Vision System for Manufacturing of Micro Workpieces
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    Chapter 3 Recognition of Swallowing Sounds Using Time-Frequency Decomposition and Limited Receptive Area Neural Classifier
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    Chapter 4 Visualization of Agriculture Data Using Self-Organizing Maps
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    Chapter 5 Graph-based Image Classification by Weighting Scheme
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    Chapter 6 A Machine Learning Application for Classification of Chemical Spectra
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    Chapter 7 Learning to rank order — a distance-based approach
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    Chapter 8 Deploying Embodied AI into Virtual Worlds
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    Chapter 9 Using Ontology Search Engines to support Users and Intelligent Systems solving a range of tasks
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    Chapter 10 Information Management for Unmanned Systems: Combining DL-Reasoning with Publish/Subscribe
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    Chapter 11 Silog: Speech Input Logon
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    Chapter 12 An Electronic Tree Inventory for Arboriculture Management
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    Chapter 13 Conversational Agents in E-Learning
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    Chapter 14 Breast cancer diagnosis based on evolvable fuzzy classifiers and feature selection
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    Chapter 15 Executing Medical Guidelines on the Web: Towards Next Generation Healthcare
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    Chapter 16 A Hybrid Constraint Programming Approach for Nurse Rostering Problems
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    Chapter 17 Using Evolved Fuzzy Neural Networks for Injury Detection from Isokinetic Curves
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    Chapter 18 An evolutionary approach to simulated football free kick optimisation
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    Chapter 19 An Application of Artificial Intelligence to the Implementation of Electronic Commerce
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    Chapter 20 Hybrid System for the Inventory of the Cultural Heritage Using Voice Interface for Knowledge acquisition
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

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