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Full Description
Applied Artificial Intelligence for Engineering Applications: Empowering Transformative Innovations in Multidisciplinary Engineering offers an integrated view of AI's transformative potential in multidisciplinary engineering, bridging the gap between AI advances and their applications in various engineering disciplines, including civil, mechanical, electrical, chemical, and robotics. The book starts with an introduction to the field, providing an overview of AI technologies and their relevance to engineering, discussing different AI approaches such as machine learning, reinforcement learning, neural networks, and natural language processing.
In addition, the computational tools and software used for each of these approaches are covered, as are AI-driven innovations in electronics design and manufacturing and the role of AI in the development of advanced sensors and IoT devices. Chapters then cover the deployment of AI in specific engineering disciplines, outlining its use in civil engineering, mechanical engineering, production engineering, and chemical engineering. The use of AI as a solution for energy efficiency and management and renewable energy integration is also discussed.
Contents
1. Introduction to AI in Multidisciplinary Engineering
2. Advances in AI and Computer Science for Engineering Applications
3. Innovations in AI Electronics and Hardware
4. AI in Infrastructure Development and Sustainability
5. AI in Mechanical and Production Engineering, and Automation
6. AI in Chemical Engineering
7. AI in Energy Management and Renewable Energy Integration
8. Ethical and Practical Considerations of AI in Engineering
9. Interdisciplinary Research and Collaboration in AI
10. Future Trends and Emerging Technologies in AI for Engineering
11. Conclusion: The Road Ahead for AI in Multidisciplinary Engineering
