Advances in Image Processing, Reliability, and Artificial Intelligence: Data Centred-Techniques and Applications in Edge Computing provides a clear outlook of the mechanisms, risks, challenges, and opportunities in system reliability for image processing and AI applications running on edge devices. It provides Best Known Configuration (BKC) and Methods (BKM) while discussing trends and future works based on current research. The content serves as a reference for practitioners and provides a state-of-the-art for researchers in the area. It provides foundations to analyse and replicate different applications through use cases. It tackles concerns for how reliability aspects (i.e., fault tolerance, availability, maturity, and recoverability) are addressed for applications running in an environment that is not fully controlled and exposed to environmental variations.
1. Chapter 11. Introduction to quantum imaging, quantum image processing, and quantum control - p. 169 2. 1 Introduction - p. 169 3. 2 Quantum imaging - p. 169 4. 3 Quantum image processing and quantum control - p. 174 5. 4 Quantum control - p. 176 6. 5 Image reconstruction in digital and quantum image processings - p. 176 7. 6 Other exotic intersections with quantum image processing - p. 183 8. 7 Conclusion - p. 184 9. 8 Future works - p. 184 10. Chapter 12. Leveraging edge computing and machine learning for proactive intrusion detection in IoT - p. 189 11. Chapter 13. Image processing strategy and target device - p. 209 12. Chapter 14. Sustainable optimization of medical imaging workflows - p. 225 13. Chapter 15. Detection of breast cancer using generative adversarial network and convolutional neural network - p. 257 14. Chapter 16. Relationship between object detection and image classification stages in Pap test - p. 275 15. Index - p. 293
Advances in Image Processing, Reliability, and Artificial Intelligence: Data Centred-Techniques and Applications in Edge Computing provides a clear outlook of the mechanisms, risks, challenges, and opportunities in system reliability for image processing and AI applications running on edge devices. It provides Best Known Configuration (BKC) and Methods (BKM) while discussing trends and future works based on current research. The content serves as a reference for practitioners and provides a state-of-the-art for researchers in the area. It provides foundations to analyse and replicate different applications through use cases. It tackles concerns for how reliability aspects (i.e., fault tolerance, availability, maturity, and recoverability) are addressed for applications running in an environment that is not fully controlled and exposed to environmental variations.
1. Chapter 11. Introduction to quantum imaging, quantum image processing, and quantum control - p. 169 2. 1 Introduction - p. 169 3. 2 Quantum imaging - p. 169 4. 3 Quantum image processing and quantum control - p. 174 5. 4 Quantum control - p. 176 6. 5 Image reconstruction in digital and quantum image processings - p. 176 7. 6 Other exotic intersections with quantum image processing - p. 183 8. 7 Conclusion - p. 184 9. 8 Future works - p. 184 10. Chapter 12. Leveraging edge computing and machine learning for proactive intrusion detection in IoT - p. 189 11. Chapter 13. Image processing strategy and target device - p. 209 12. Chapter 14. Sustainable optimization of medical imaging workflows - p. 225 13. Chapter 15. Detection of breast cancer using generative adversarial network and convolutional neural network - p. 257 14. Chapter 16. Relationship between object detection and image classification stages in Pap test - p. 275 15. Index - p. 293
