- ホーム
- > 洋書
- > 英文書
- > Computer / General
Full Description
The objective of this publication AI Modernisation Techniques for Contemporary Trends is to offer a comprehensive and practical framework for engineers, technicians, and individuals interested in converting conventional electromechanical systems into intelligent, interconnected, and efficient smart systems. The rising demand for smart technologies necessitates the need of upgrading current systems to effectively cater to these expectations. This book will serve as an extensive resource that aims to facilitate the integration of ancient and contemporary technologies, providing readers with guidance during the whole process of conversion.
Contents
Preface. 1. AI-Augmented IIoT: Using Edge-based Deep Learning to Improve Industrial Intelligence and Reduce Network Congestion. 2. AI-Powered Deep Learning Methods for Intelligent Manufacturing's Real-Time Image Recognition. 3. Autonomous Driving Using Reinforcement Learning in Real World. 4. Integrating AI in Industry: Automation and Innovation. 5. Smart Traffic Signal Integrated with AI Powered Drone Surveillance. 6. An AI-Driven Framework for Emotion-Aware Script Generation Using Real-Time Facial Expression Recognition and GPT-2 Medium. 7. Securing AI Systems: Strategies for Privacy and Protection. 8. Building Trustworthy AI Systems: Ethics and Governance. 9. Artificial Intelligence for Sustainable Design and Manufacturing. 10. AI in Energy Management Strategies for Environmental Sustainability. 11. The Impact of AI on Human-Machine Collaboration: Defining the Future of Work with AI. 12. AI-Driven Scalable Deep Learning for Real-Time Industrial NLP with Hybrid and Multimodal Integration. 13. Enhancing Human-Robot Collaboration through Neuro-Symbolic and Neuromorphic AI. 14. Boosting Manufacturing Productivity with Robotics and AI. 15. AI and Sustainability: Advancing Socially Responsible Practices. 16. Al in Management: Challenges and Solutions in Implementation. Index.
