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Full Description
This book enables the readers to design, optimize, and control complex systems with greater precision and efficiency. It further provides practical insights and presents case studies for readers interested in exploring the intersections between artificial intelligence and industry. This book discusses important topics such as algorithmic design, mathematical modeling, natural language processing, machine learning, and computer vision.
This book:
Explores practical applications of artificial intelligence in engineering, including optimization, predictive modeling, decision‑making, and control systems
Provides real‑world examples of the applications of artificial intelligence in engineering, drawing from a range of industries, including aerospace, automotive, and manufacturing
Discusses technologies such as machine learning and computer vision for aircraft design optimization, fault diagnosis, and autonomous navigation
Explains natural language processing for analyzing and optimizing building systems, while robotics can be used for construction automation
Presents artificial intelligence technologies for optimization of manufacturing processes, predictive maintenance, and quality control
This book is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.
Contents
1. Navigating the Ethical Landscape of Artificial Intelligence: Challenges, Frameworks, and Responsible Deployment. 2. Opportunities of Intelligent Machine Learning Techniques for Sustainable Development. 3. Prediction of Disease Rely on Drug Reviews by TFIDF Procedure in Natural Language Processing. 4. Investigating the Potential of ChatGPT in Substituting or Assisting Teachers in the Digital Era. 5. Defense of DDoS Attacks Using Targets in Motion. 6. Unlocking Sign Language Interpretation: Leveraging Transfer Learning in Deep Learning Models. 7. AI Engineering for the Best Sustainable Practices Towards Social Applications. 8. Healthcare Robots Enabled with IoT and Artificial Intelligence in Healthcare Applications. 9. AI Strategies for the Realm of Sustainable Management and Practices. 10. Unveiling Life's Horizon: Predictive Insights with Automated Machine Learning. 11. Sustainable Energy Optimization in Smart Buildings: A Deep Learning LSTM Approach for Intelligent Management and Environmental Impact Reduction. 12. ConvXception: Covid-19 Detection using ConvXception Model. 13. Automated Road Safety: YOLOv3 based non-helmet rider detection with Optical Character Recognition. 14. Customer Churn Prediction for Retention Analysis. 15. Exploring the Intersection of Sustainable Economies and the Metaverse for a Prosperous Future. 16. UNet-Based MRI Image Analysis for Enhanced Brain Tumor Spotting: A Cutting-Edge Approach in Medical Imaging. 17. Multiple Object Tracking using Deep Learning and Machine Learning Techniques. 18. KGRecSys: Knowledge Graph-Based Recommendation Systems: A Comprehensive Overview. 19. Brain-Inspired Cognitive Architectures for Artificial Intelligence: Unlocking the Potential of Human-Like Intelligence. 20. Harnessing Deep Learning Algorithms for Enhanced Stock Price Predictability
