Deep Learning Approaches in Intelligent Wireless Networking (Hardcover, 1)

Chapter 1. Deep Learning Transformations for Innovating Healthcare in the Health Sector. Chapter 2. Preliminary Study of 6G Networks Signifies A Revolutionary Change in Wireless Communication. Chapter 3. AI Applications, Healthcare, Agriculture, Defence & Medicine. Chapter 4. Artificial intelligence & Machine learning in healthcare: A systematic bibliometric analysis. Chapter 5. Deep Learning and Neural Network in the Stock Market. Chapter 6. Deep Learning Strategies for Advanced Wireless Communication. Chapter 7. A Machine Learning Based Model for Predicting Diabetes Leading to Retinopathy. Chapter 8. Intelligent Wireless Networks: Edge Computing, Sensors, Real-Time Computing, Security, Emerging Applications. Chapter 9. Empowering the Future of Education and Data Science: A Deep Learning Approach to Wireless Networks. Chapter 10. ML Algorithms Supervised/Unsupervised Learning, Application in Diverse Fields Including Networking. Chapter 11. ML in Wireless Networks: Management, Security, Analytics, Virtualization, Sensors, Real Cases