Advances in Image Processing, Reliability, and Artificial Intelligence : Data Centred-Techniques and Applications in Edge Computing

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Advances in Image Processing, Reliability, and Artificial Intelligence : Data Centred-Techniques and Applications in Edge Computing

Divan, Mario J. (EDT)/ Johri, Prashant (EDT)/ Guim, Francesc (EDT)

ウェブストア価格 ¥41,676（本体¥37,888）
Elsevier - Health Sciences Division（2025/11発売）
外貨定価 US$ 200.00
ポイント 378pt

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製本 Paperback:紙装版/ペーパーバック版／ページ数 230 p.
言語 ENG
商品コード 9780443342660

Full Description

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. Building Resilient AI Systems at the Edge: Addressing Failure Modes and Safety for Regulatory Compliance
2. Unsupervised Strategies for Image Processing Workload Profiling on the Edge: A Systematic Mapping Study
3. Enhancing System Reliability through AI-Powered Software Vulnerability Discovery Prediction
4. Enhancing Software Reliability Models through Neural Network-Driven Weight Adaptation
5. Intelligent Orchestration Mechanisms for Image Workload Placement
6. Managing Reliability of Global Networks and AI Platforms with World-class Key Performance Indicators
7. Mitigating Software Aging in Virtualized Environments: A Semi-Markov Approach to System Rejuvenation
8. Reliability and Risk Prevention in Image Processing
9. Unveiling Illusions: Advanced Techniques in Fake Image Detection
10. AI-Driven Image Enhancement Techniques for Edge Devices Balancing Quality and Performance
11. Introduction to Quantum Imaging, Quantum Image Processing and Quantum Control
12. Leveraging Edge Computing and Machine Learning for Proactive Intrusion Detection in IoT
13. Image Processing Strategy and Target Device
14. Sustainable Optimization of Medical Imaging Workflows
15. Breast Cancer Detection using GANs and CNN models
16. Relationship between Object Detection and Image Classification stages in Pap test