Robotics and Automation in Industry 4. 0 Smart Industries and Intelligent Technologies
The book presents the innovative aspects of smart industries and intelligent technologies involving Robotics and Automation.
Autor principal: | |
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Otros Autores: | , , |
Formato: | Libro electrónico |
Idioma: | Inglés |
Publicado: |
Milton :
Taylor & Francis Group
2024.
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Edición: | 1st ed |
Colección: | Big Data for Industry 4. 0 Series
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Materias: | |
Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009825854106719 |
Tabla de Contenidos:
- Cover
- Half Title
- Series Page
- Title Page
- Copyright Page
- Table of Contents
- Editors
- Contributors
- Preface
- Chapter 1 Integration of Nature-Inspired Mechanisms to Machine Learning in Real Time Sensors, Controllers, and Actuators for Industrial Automation
- Chapter 2 The Implications of Cloud Computing, IoT, and Wearable Robotics for Smart Healthcare and Agriculture Solutions
- Chapter 3 Role of Human-Robot Interaction in Building Automated Mixed Palletization Based on Industrial Applications
- Chapter 4 Emerging Soft Computing and Machine Learning Techniques Applicable in Industrial and Automated Applications
- Chapter 5 PSO-Based Nature-Inspired Mechanisms for Robots during Smart Decision-Making for Industry 4.0
- Chapter 6 Application of AI-Based Learning in Automated Applications and Soft Computing Mechanisms Applicable in Industries
- Chapter 7 Investigating Scope and Applications for the Internet of Robotics in Industrial Automation
- Chapter 8 Role of Artificial Intelligence in Making Wearable Robotics Smarter
- Chapter 9 Role of Machine Learning Approaches in Optimization of AI-Based Industry 4.0 Healthcare Management Systems
- Chapter 10 Leveraging Financial Data to Optimize Automation: An Industry 4.0 approach
- Chapter 11 Assessing Cybersecurity Risks in the Age of Robotics and Automation: Frameworks and Strategies for Risk Management
- Chapter 12 The Role of Education in Addressing the Workforce Challenges of Automation: A Global Perspective
- Chapter 13 The Intersection of Human Resource Management and Automation: Opportunities and Challenges for HR Professionals
- Chapter 14 Data-Driven Insights for Agricultural Management: Leveraging Industry 4.0 Technologies for Improved Crop Yields and Resource Optimization
- Chapter 15 Data Analytics and ML for Optimized Performance in Industry 4.0
- Chapter 16 Business Intelligence in Action: Way of Successful Implementation of Automated Systems
- Chapter 17 A Review of Dielectric Resonator Antennas (DRA)-Based RFID Technology for Industry 4.0
- Chapter 18 Leveraging Blockchain for Improved Supply Chain Management and Traceability in Industry 4.0
- Chapter 19 Securing Automated Systems with BT: Opportunities and Challenges
- Chapter 20 Transforming Healthcare with Industry 4.0: The Impact of Social Media on Mental Health
- Chapter 21 Multiband Antenna Design for Internet of Things (IoT) Applications