This book covers the fundamental concepts of private AI and its applications. It also covers fusion of Private AI with cutting-edge technologies like cloud computing, federated learning and computer vision.
This book covers the fundamental concepts of private AI and its applications. It also covers fusion of Private AI with cutting-edge technologies like cloud computing, federated learning and computer vision.
Uma Maheswari V is Senior Member of IEEE and working as an Associate Professor, Department of CSE, Chaitanya Bharathi Institute of Technology, Hyderabad, India. Rajanikanth Aluvalu is a Senior Member of IEEE and working as Director and Professor, Symbiosis Institute of Technology, Hyderabad Campus, Hyderabad, Symbiosis International (Deemed University),Pune 412115, India Post Doctoral Research Fellow, COPE labs, Lusófona University, Portugal, Member, Artificial Intelligence Group, Department of Computer Engineering, Lusófona University, Portugal.
Inhaltsangabe
1. A Research Study on Concepts & Applications of Artificial Intelligence: Governance in Smart Cities. 2. Encryption and Decryption Algorithms in Private AI. 3. Advancing Privacy in AI: Homomorphic Encryption and Private AI. 4. AI-Driven Privacy Preservation using Homomorphic Encryption with AM-ResNetbased Classification in Gastrointestinal Diseases. 5. Cryptographic Security in Credit Card Fraud Detection Using Homomorphic Encryption with CRO based Hybrid BL-GRU Classification. 6. Private AI in Education: A Critical Challenges and Aspects of Enhancement Strategies. 7. A model of pre-adoptive appraisal toward private AI implementation in Public Sector Accounting Education in Higher Education Institutions. 8. Recruitment and Staffing in educational sectors via Explainable AI and Blockchain. 9. Private AI in Healthcare: Technological Constraints, Future Directions and Emerging Trends. 10. Unlocking the Potential of Deep Learning in Knee Bone Cancer Diagnosis UsingMSCSA-Net Segmentation and MLGC-LTNet Classification. 11. Enhancing Image Forgery Detection on Social Media via Grabcut Segmentation and RA based MobileNet with MREA for Data Security. 12. Private AI in E-Commerce: Safeguarding Consumer Data in the Digital Marketplace. 13. Private Artificial Intelligence (AI) in Social Media. 14. Blockchain based PrivateAI Model with RPOA based Sampling Method for Credit Card Fraud Detection. 15. Breast Cancer Detection using Mother Optimization Algorithm based Chaotic Map with Private AI Model
1. A Research Study on Concepts & Applications of Artificial Intelligence: Governance in Smart Cities. 2. Encryption and Decryption Algorithms in Private AI. 3. Advancing Privacy in AI: Homomorphic Encryption and Private AI. 4. AI-Driven Privacy Preservation using Homomorphic Encryption with AM-ResNetbased Classification in Gastrointestinal Diseases. 5. Cryptographic Security in Credit Card Fraud Detection Using Homomorphic Encryption with CRO based Hybrid BL-GRU Classification. 6. Private AI in Education: A Critical Challenges and Aspects of Enhancement Strategies. 7. A model of pre-adoptive appraisal toward private AI implementation in Public Sector Accounting Education in Higher Education Institutions. 8. Recruitment and Staffing in educational sectors via Explainable AI and Blockchain. 9. Private AI in Healthcare: Technological Constraints, Future Directions and Emerging Trends. 10. Unlocking the Potential of Deep Learning in Knee Bone Cancer Diagnosis UsingMSCSA-Net Segmentation and MLGC-LTNet Classification. 11. Enhancing Image Forgery Detection on Social Media via Grabcut Segmentation and RA based MobileNet with MREA for Data Security. 12. Private AI in E-Commerce: Safeguarding Consumer Data in the Digital Marketplace. 13. Private Artificial Intelligence (AI) in Social Media. 14. Blockchain based PrivateAI Model with RPOA based Sampling Method for Credit Card Fraud Detection. 15. Breast Cancer Detection using Mother Optimization Algorithm based Chaotic Map with Private AI Model
Es gelten unsere Allgemeinen Geschäftsbedingungen: www.buecher.de/agb
Impressum
www.buecher.de ist ein Shop der buecher.de GmbH & Co. KG Bürgermeister-Wegele-Str. 12, 86167 Augsburg Amtsgericht Augsburg HRA 13309
