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Artificial Intelligence and Industrial Applications

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Cover of 'Artificial Intelligence and Industrial Applications'

Table of Contents

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    Book Overview
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    Chapter 1 A Fuzzy Ontology Based Approach to Support Product Eco-Design
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    Chapter 2 A Genetic-Based SVM Approach for Quality Data Classification
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    Chapter 3 Towards a Platform to Implement an Intelligent and Predictive Maintenance in the Context of Industry 4.0
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    Chapter 4 Towards a Prediction Analysis in an Industrial Context
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    Chapter 5 Methodology for Implementation of Industry 4.0 Technologies in Supply Chain for SMEs
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    Chapter 6 A Deep Reinforcement Learning (DRL) Decision Model for Heating Process Parameters Identification in Automotive Glass Manufacturing
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    Chapter 7 Analytic Hierarchy Process (AHP) for Supply Chain 4.0 Risks Management
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    Chapter 8 SmartDFRelevance: A Holonic Agent Based System for Engineering Industrial Projects in Concurrent Engineering Context
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    Chapter 9 A Cyber-Physical Warehouse Management System Architecture in an Industry 4.0 Context
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    Chapter 10 PLM and Smart Technologies for Product and Supply Chain Design
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    Chapter 11 Production Systems Simulation Considering Non-productive Times and Human Factors
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    Chapter 12 Distributed and Embedded System to Control Traffic Collision Based on Artificial Intelligence
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    Chapter 13 The Emergence and Decision Support in Complex System with Fuzzy Logic Control
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    Chapter 14 Markov Decision Processes with Discounted Costs over a Finite Horizon: Action Elimination
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    Chapter 15 Robust Adaptive Fuzzy Path Tracking Control of Differential Wheeled Mobile Robot
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    Chapter 16 Deep Learning Approach for Automated Guided Vehicle System
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    Chapter 17 Path Planning Using Particle Swarm Optimization and Fuzzy Logic
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    Chapter 18 Prediction of Robot Localization States Using Hidden Markov Models
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    Chapter 19 A New Approach for Multi-agent Reinforcement Learning
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    Chapter 20 Recommender System for Most Relevant K Pick-Up Points
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    Chapter 21 Feature Detection and Tracking for Visual Effects: Augmented Reality and Video Stabilization
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    Chapter 22 Spectral Image Recognition Using Artificial Dynamic Neural Network in Information Resonance Mode
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    Chapter 23 U-Net Based Model for Obfuscated Human Faces Reconstruction
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    Chapter 24 A Machine Learning Assistant for Choosing Operators and Tuning Their Parameters in Image Processing Tasks
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    Chapter 25 Convergence and Parameters Setting of Continuous Hopfield Neural Networks Applied to Image Restoration Problem
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    Chapter 26 The IBN BATTOUTA Air Traffic Control Corpus with Real Life ADS-B and METAR Data
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    Chapter 27 Weed Recognition System for Low-Land Rice Precision Farming Using Deep Learning Approach
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    Chapter 28 A Comparative Study Between Mixture and Stepwise Regression to Model the Parameters of the Composting Process
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    Chapter 29 Deep Learning Based Sponge Gourd Diseases Recognition for Commercial Cultivation in Bangladesh
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    Chapter 30 Exploitation of Vegetation Indices and Random Forest for Cartography of Rosemary Cover: Application to Gourrama Region, Morocco
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Title
Artificial Intelligence and Industrial Applications
Published by
Springer International Publishing, September 2020
DOI 10.1007/978-3-030-51186-9
ISBNs
978-3-03-051185-2, 978-3-03-051186-9
Editors

Masrour, Tawfik, Cherrafi, Anass, El Hassani, Ibtissam

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