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Intelligent Decision Technologies 2019

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Cover of 'Intelligent Decision Technologies 2019'

Table of Contents

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    Book Overview
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    Chapter 1 Quality Improvement Through the Preventive Detection of Potentially Defective Products in the Automotive Industry by Means of Advanced Artificial Intelligence Techniques
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    Chapter 2 An Efficient Non-Blind Steering Vector Estimation Technique For Robust Adaptive Beamforming With Multistage Error Feedback
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    Chapter 3 The P2P–Grid–Agent Distributed Platform: A Distributed and Dynamic Platform for Developing and Executing Large-Scale Application Based on Deep Learning Techniques
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    Chapter 4 Recognition of Daily Human Activities Using Accelerometer and sEMG Signals
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    Chapter 5 Classification of Alzheimer’s Disease from Structural Magnetic Resonance Imaging using Particle-Bernstein Polynomials Algorithm
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    Chapter 6 Selecting Informative Samples for Animal Recognition in the Wildlife
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    Chapter 7 Genetic Algorithm for Selecting Relevant Regions in Digital Watermarking Scheme for 2D/3D Medical Images
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    Chapter 8 A Transport Coding Gain Estimation in the Conditions of Time Limitation for Maximum Acceptable Message Delay
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    Chapter 9 Modeling Customers Speed of Movement from POS- and RFID-Data
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    Chapter 10 Discovering and Analyzing Binary Codes Based on Monocyclic Quasi-Orthogonal Matrices
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    Chapter 11 The Study of Generators of Orthogonal Pseudo-random Sequences
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    Chapter 12 Portraits of Orthogonal Matrices as a Base for Discrete Textile Ornament Patterns
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    Chapter 13 Training Sample Generation Software
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    Chapter 14 Business AI Alignment Modeling Based on Enterprise Architecture
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    Chapter 15 Eye Tracking as a Method of Neuromarketing for Attention Research—An Empirical Analysis Using the Online Appointment Booking Platform from Mercedes-Benz
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    Chapter 16 A Concept of an Interactive Web-Based Machine Learning Tool for Individual Machine and Production Monitoring
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    Chapter 17 Benefits of Agile Project Management in an Environment of Increasing Complexity—A Transaction Cost Analysis
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    Chapter 18 Potential Benefits of Digital Business Models and Its Processes in the Financial and Insurance Industry
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    Chapter 19 Risk-Sensitive Decision-Making Under Risk Constraints with Coherent Risk Measures
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    Chapter 20 Mutual Evaluation and Solution Method
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    Chapter 21 Visualization of Criteria Priorities Using a Ternary Diagram
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    Chapter 22 Changes in Organizations Due to Management Mechanization (Case Studies of Life Insurance Companies in Japan)
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    Chapter 23 Naturality for Ranking from Pairwise Comparisons
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    Chapter 24 Upper Level Processes and Projects Model Building
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    Chapter 25 SPCM with Harker Method for MDAHP Including Hierarchical Criteria
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    Chapter 26 Building a Telemedicine System for Monitoring the Health Status and Supporting the Social Adaptation of Children with Autism Spectrum Disorders
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    Chapter 27 Implementation of Digital Technologies in Pharmaceutical Products Lifecycle
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    Chapter 28 Home Hospital e-Health Centers for Barrier-Free and Cross-Border Telemedicine
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    Chapter 29 Data-Driven Human Movement Assessment
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    Chapter 30 Attitudes to Telemedicine, and Willingness to Use in Young People
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    Chapter 31 Posture Tracking Using a Machine Learning Algorithm for a Home AAL Environment
Attention for Chapter 16: A Concept of an Interactive Web-Based Machine Learning Tool for Individual Machine and Production Monitoring
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Chapter title
A Concept of an Interactive Web-Based Machine Learning Tool for Individual Machine and Production Monitoring
Chapter number 16
Book title
Intelligent Decision Technologies 2019
Published by
Springer, Singapore, January 2019
DOI 10.1007/978-981-13-8303-8_16
Book ISBNs
978-9-81-138302-1, 978-9-81-138303-8
Authors

Marina Burdack, Manfred Rössle, Burdack, Marina, Rössle, Manfred

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 33%
Researcher 3 10%
Unspecified 2 7%
Student > Bachelor 2 7%
Professor 2 7%
Other 2 7%
Unknown 9 30%
Readers by discipline Count As %
Computer Science 8 27%
Engineering 7 23%
Unspecified 2 7%
Medicine and Dentistry 1 3%
Business, Management and Accounting 1 3%
Other 0 0%
Unknown 11 37%