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Robotics and Automation in Industry 4.0
About this book
Robotics and Automation in Industry 4.0 explores the transformative role of robotics, automation, and emerging technologies in the modern industrial landscape. The book is divided into four comprehensive sections, each focusing on key areas of Industry 4.0. These are: 1) Robotics: Applications and Advancements, 2) Renewable Energy Applications, 3), FinTech, and 4) Multidisciplinary approaches. It compiles 13 chapters offering insights into the latest advancements and provides practical guidance for navigating the evolving industrial landscape. Robotics and Automation in Industry 4.0 provides a comprehensive overview of technical advancements within the context of Industry 4.0. Chapters cover nanorobotics, deep Q-learning for robot path planning, and the design of smart devices. The content also explores the integration of renewable energy in industrial processes and the impact of Industry 4.0 on manufacturing. Additionally, it explains FinTech innovations, including blockchain applications in healthcare and IoT systems. The final section addresses deep learning, IT sector attrition, and solid-state devices, emphasizing a multidisciplinary approach to modern challenges. This book is a valuable resource for professionals, researchers, and students seeking to understand the implications of Industry 4.0 for different industries. Readership Professionals, researchers, and students.
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Information
Table of contents
- Welcome
- Table of Content
- Title
- BENTHAM SCIENCE PUBLISHERS LTD.
- PREFACE
- List of Contributors
- Nanorobots: Types, Principles and Applications
- Robot Path Planning in a Dynamic Environment Using Deep Q-Learning
- Seven Concerns of Innovation Design Process and Analysis of a Smart Bicycle Frame
- Hybrid Optimization of Profit-Based Unit Commitment Allowing for Uncertainties of Renewable Energy Sources in Summer and Wintertime
- The Impact of Industry 4.0 on Manufacturing: Challenges and Opportunities
- Emerging Technologies in Fintech: A Case Study
- Leveraging Blockchain Technologies in Healthcare Applications
- Design and Development of Blockchain Integrated IoT System for Pharmaceutical Applications
- Attrition in IT Sector: Psychology Behind the Scene
- Deep Learning Techniques for Predicting Changes in the Ecosystem
- A Detailed Analysis of Issues with Solid-State Devices
- Profit-Based Unit Commitment Using Local and Global Search Methods
- Classification of Deep Learning Techniques for Object Detection