Buch, Englisch, 250 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 620 g
Reihe: Intelligent Data-Driven Systems and Artificial Intelligence
Buch, Englisch, 250 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 620 g
Reihe: Intelligent Data-Driven Systems and Artificial Intelligence
ISBN: 978-1-032-74488-9
Verlag: Taylor & Francis Ltd
The book covers the role of emerging technologies such as blockchain technology, machine learning, IoT, cryptography, etc., in digital asset management. It further discusses digital asset management applications in different domains such as healthcare, travel industry, image processing, and our daily life activities to maintain privacy and confidentiality.
This book:
• Discusses techniques for securing and protecting digital assets in collaborative environments, where multiple organizations need access to the same resources.
• Explores how artificial intelligence can be used to automate the management of digital assets, and how it can be used to improve security and privacy.
• Explains the role of emerging technology such as blockchain technology for transforming conventional business models.
• Highlights the importance of machine learning techniques in maintaining the privacy and security of data.
• Covers encryption and decryption techniques, their advantages and role in improving the privacy of data.
The text is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, computer science and engineering, information technology, and business management.
Zielgruppe
Academic and Postgraduate
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
1. Integrating Emerging Technologies for Digital Asset Management. 2. Transforming Healthcare Ecosystems with AI-Based Digital Asset Management. 3. Image Encryption Decryption Using Hybrid Cryptography. 4. Securing Digital Assets: An Intelligent Fusion of Data-Driven Approaches. 5. AI-Driven Digital Asset Management Revolutionizing Healthcare Ecosystem. 6. Smart Security Practices: Harnessing Data-Driven Techniques for Digital Asset Protection. 7. Integration of Blockchain Technology with Travel Industry: A Comprehensive Analysis. 8. Intelligent Data Mining Techniques: RBF Neural Network-Based Intelligent Optimal Control and Adaptive Bound for Collaborative Robot Manipulators Grasping an Object. 9. Emerging Trends of Machine Learning and Internet of Things Based Applications in Day-to-Day Life. 10. Skill Verification System Using Blockchain: Architecture, Challenges and Proposed Model. 11. Integration of Blockchain Technology for Digital Asset Management. 12. Advanced Video Steganography: Integrating Edge Detection with Identical Match Approaches for Optimal Data Hiding. 13. Machine Learning Techniques for IoT Applications in Healthcare: Intelligent Data Drive Flow. 14. Integration of Emerging Technologies for Digital asset Management. 15. Secure and Intelligent data driven technique with IPv6 in Internet of Things Applications