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.

Detalles Bibliográficos
Autor principal: Sindhwani, Nidhi (-)
Otros Autores: Anand, Rohit, George, A. Shaji, Pandey, Digvijay
Formato: Libro electrónico
Idioma:Inglés
Publicado: Milton : Taylor & Francis Group 2024.
Edición:1st ed
Colección:Big Data for Industry 4. 0 Series
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