Artificial intelligence and optimization techniques for smart information system generations /
The text comprehensively focusses on the use of artificial intelligence and optimization techniques for creating smart information systems. Focuses on extracting information from blockchain repository using artificial intelligence and machine learning algorithms Presents deep learning models to iden...
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| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
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Boca Raton, FL :
CRC Press,
[2025]
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| Series: | Future generation information systems.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- 1. Unveiling the Power of Prediction: A Comprehensive Guide to Machine Learning Techniques, from Data Preparation to Model Interpretability for Early Prediction of Diabetes and Effective Management.2. Digital Image Forgery Techniques for Smart Information Generations.3. Artificial Intelligence(AI) and optimization for Health Information System(HIS) generation.4. Agricultural Information Systems emphasizing Agro Robots towards Digital and Sustainable Agriculture.5. Smart Agriculture based on Artificial Intelligence in Africa Region: Open Challenges, Solutions.6. Synergizing Artificial Intelligence and Optimization Techniques for Enhanced Public Services.7. Architectural Pattern for Implementing XAI as a Service for Container Orchestrated Machine Learning Model Deployments.8. Quantum Machine Learning (QML) Algorithms for Smart Biomedical Applications.9. Artificial Intelligence for Information System Security.10. Optimized Image Recognition for Smart Information Generations: A Comprehensive Evaluation of Image Processing Techniques.11. Machine Learning based Security Algorithms for Cloud Computing: A Comprehensive Survey.12. Securing Information in Transit: Leveraging AI/ML for Robust Data Protection.13. Optimizing Medical Image Compression for Efficient Information System Integration: A Comprehensive Review.14. FaceTrack: A Face Recognition-based Real-time Attendance Marking Approach using Haar Cascade and Machine Learning.15. Optimizing Information Systems for Green Computing in Higher Education: From Awareness to Action.16. Evaluating Thin Client Solutions: A Sustainable and Energy-Efficient Alternative to Traditional Classroom PCs