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Metaheuristic Algorithms in Industry 4.0
Pritesh Shah, Ravi Sekhar, Anand J. Kulkarni, Patrick Siarry, Pritesh Shah, Ravi Sekhar, Anand J. Kulkarni, Patrick Siarry
- 344 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Metaheuristic Algorithms in Industry 4.0
Pritesh Shah, Ravi Sekhar, Anand J. Kulkarni, Patrick Siarry, Pritesh Shah, Ravi Sekhar, Anand J. Kulkarni, Patrick Siarry
About This Book
Due to increasing industry 4.0 practices, massive industrial process data is now available for researchers for modelling and optimization. Artificial Intelligence methods can be applied to the ever-increasing process data to achieve robust control against foreseen and unforeseen system fluctuations. Smart computing techniques, machine learning, deep learning, computer vision, for example, will be inseparable from the highly automated factories of tomorrow. Effective cybersecurity will be a must for all Internet of Things (IoT) enabled work and office spaces.
This book addresses metaheuristics in all aspects of Industry 4.0. It covers metaheuristic applications in IoT, cyber physical systems, control systems, smart computing, artificial intelligence, sensor networks, robotics, cybersecurity, smart factory, predictive analytics and more.
Key features:
- Includes industrial case studies.
- Includes chapters on cyber physical systems, machine learning, deep learning, cybersecurity, robotics, smart manufacturing and predictive analytics.
- surveys current trends and challenges in metaheuristics and industry 4.0.
Metaheuristic Algorithms in Industry 4.0 provides a guiding light to engineers, researchers, students, faculty and other professionals engaged in exploring and implementing industry 4.0 solutions in various systems and processes.
Frequently asked questions
Information
1
A Review on Cyber Physical Systems and Smart Computing: Bibliometric Analysis
CONTENTS
- 1.1 Introduction
- 1.2 Data Selection and Extraction
- 1.3 Distribution of Publications along Different Verticals
- 1.3.1 Publications Analysed: Year-on-Year Basis
- 1.3.2 Research Directions of Publications
- 1.3.3 Popular Places
- 1.3.4 Productive Organizations and Researchers
- 1.4 Analysis along the Collaboration Vertical
- 1.4.1 Collaboration Strength amongst the Researchers
- 1.4.2 Collaboration Strength of Organizations
- 1.4.3 Collaborative Strength of Places
- 1.5 Analysis along the Citation Landscape
- 1.5.1 The Citation Landscape for Research Papers
- 1.5.2 The Citation Landscape for Researchers
- 1.5.3 The Citation Landscape for Organizations
- 1.5.4 The Citation Landscape for Places
- 1.6 Timeline Analysis and Burst Detection
- 1.6.1 Timeline Review Analysis
- 1.6.2 Keyword Burst Detection
- 1.6.3 References Burst Detection
- 1.7 Conclusion
- References
1.1 Introduction
- Number of annual publications in the field of CPS and SC for the past 10 years (2010â2020).
- Types of publications such as book chapters, journal papers, etc.
- Top journals/sources of publications.
- Top research directions for CPS and SC. These include the computer science, engineering, telecommunications, etc. Further, an analysis on the trend in these research directions has also been put forth.
- Top countries and ...
Table of contents
- Cover
- Half Title
- Series Page
- Title Page
- Copyright Page
- Table of Contents
- Preface
- Editors
- Contributors
- 1. A Review on Cyber Physical Systems and Smart Computing: Bibliometric Analysis
- 2. Design Optimization of Close-Fitting Free-Standing Acoustic Enclosure Using Jaya Algorithm
- 3. A Metaheuristic Scheme for Secure Control of Cyber-Physical Systems
- 4. Application of Salp Swarm Algorithm to Solve Constrained Optimization Problems with Dynamic Penalty Approach in Real-Life Problems
- 5. Optimization of Robot Path Planning Using Advanced Optimization Techniques
- 6. Semi-Empirical Modeling and Jaya Optimization of White Layer Thickness during Electrical Discharge Machining of NiTi Alloy
- 7. Analysis of Convolution Neural Network Architectures and Their Applications in Industry 4.0
- 8. EMD-Based Triaging of Pulmonary Diseases Using Chest Radiographs (X-Rays)
- 9. Adaptive Neuro Fuzzy Inference System to Predict Material Removal Rate during Cryo-Treated Electric Discharge Machining
- 10. A Metaheuristic Optimization Algorithm-Based Speed Controller for Brushless DC Motor: Industrial Case Study
- 11. Predictive Analysis of Cellular Networks: A Survey
- 12. Optimization Techniques and Algorithms for Dental Implants â A Comprehensive Review
- Index