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Computational Intelligence in Automotive Applications

Overview of attention for book
Cover of 'Computational Intelligence in Automotive Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Learning-Based Driver Workload Estimation
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    Chapter 2 Visual Monitoring of Driver Inattention
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    Chapter 3 Understanding Driving Activity Using Ensemble Methods
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    Chapter 4 Computer Vision and Machine Learning for Enhancing Pedestrian Safety
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    Chapter 5 Application of Graphical Models in the Automotive Industry
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    Chapter 6 Extraction of Maximum Support Rules for the Root Cause Analysis
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    Chapter 7 Neural Networks in Automotive Applications
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    Chapter 8 On Learning Machines for Engine Control
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    Chapter 9 Recurrent Neural Networks for AFR Estimation and Control in Spark Ignition Automotive Engines
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    Chapter 10 Intelligent Vehicle Power Management: An Overview
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    Chapter 11 An Integrated Diagnostic Process for Automotive Systems
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    Chapter 12 Automotive Manufacturing: Intelligent Resistance Welding
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    Chapter 13 Intelligent Control of Mobility Systems
Attention for Chapter 1: Learning-Based Driver Workload Estimation
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