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Industry 4.0 is a multifaceted area of research including signal processing, computer vision, artificial intelligence, manufacturing, production engineering, etc. This volume looks at issues relating to sensor mechanism for evaluating operations, supply chain, management of machines, analysing the generated data, low-cost solutions for Industry 4.0, and vision processing for various applications, etc. This book is an ideal text for Industrial and academic researchers across electrical engineering, signal processing, computer vision, sensors, AI, and Internet of Things.
Key Features:
- Includes both signal and image processing, including real time methods
- Focus on real-time signal processing and control
- Contains current trends in AI for industries
- Industrial and academic authors
- Multidisciplinary
Volume 2
Preface
Acknowledgments
Editor biographies
List of contributors
Contributor biographies
1 IoT for Industry 4.0: performance monitoring in manual production
2 Vision assistance to work in a foggy industrial area
3 Smart factories of Industry 4.0: determination of the effective smartphone position for human activity recognition using deep learning
4 Intelligent technologies in manufacturing cyber-physical systems: evolution and future development
5 Supply chain flexibility issues for Industry 4.0
6 Surveillance of industrial area using drone: design, modeling and uses
7 Solution of the problem of terminal nonlinear filtering of stochastic processes
8 Predictive maintenance of pump: a case study in exploratory data analysis
9 Applications of statistical signal processing for infrared non-destructive testing and evaluation
10 A hybrid system for anomaly detection in industrial big data
11 Multi-faults diagnosis of gearbox by deep convolution neural network
12 Solar energy driven Industry 4.0: MPPT learning approaches for photovoltaic panel
13 Real-time application for Industry 4.0: road crack assessment using image processing method