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Digital Security and Cloud Platforms
  • Language: en
  • Pages: 102

Digital Security and Cloud Platforms

TOPICS IN THE BOOK Cutting-Edge AI Techniques for Securing Healthcare IAM: A Novel Approach to SAML and OAuth Security Advancing Quality Management in using Scalable Transaction Validation Adaptive Security Model for Cloud Platforms Based on Information Security and Cryptographic Protocols The Intelligent Continuum: AI’s Impact on Remote Health Monitoring Impact of Software-as-a-Service (SaaS) Adoption on Enterprise IT Costs in Kenya

Technological Interventions in Security and Healthcare
  • Language: en
  • Pages: 83

Technological Interventions in Security and Healthcare

TOPICS IN THE BOOK DUKPT for Software POS: A Technical Key Management Approach for Safeguarding Payment Data Harnessing AI to Elevate Healthcare Quality Ratings: Transforming Provider Performance and Patient Outcomes Enhancing API Reliability and Performance: Applying Google SRE Principles for Advanced Monitoring and Resilient Operations Improved Pancreatic Cancer Diagnosis: Deep Learning Integration with U-Net for Segmented Histopathology Image Analysis

Algorithms in Advanced Artificial Intelligence
  • Language: en
  • Pages: 786

Algorithms in Advanced Artificial Intelligence

  • Type: Book
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  • Published: 2025-05-23
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  • Publisher: CRC Press

Algorithms in Advanced Artificial Intelligence is a collection of papers on emerging issues, challenges, and new methods in Artificial Intelligence, Machine Learning, Deep Learning, Cloud Computing, Federated Learning, Internet of Things, and Blockchain technology. It addresses the growing attention to advanced technologies due to their ability to provide “paranormal solutions” to problems associated with classical Artificial Intelligence frameworks. AI is used in various subfields, including learning, perception, and financial decisions. It uses four strategies: Thinking Humanly, Thinking Rationally, Acting Humanly, and Acting Rationally. The authors address various issues in ICT, including Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Big Data Analytics, Vision, Internet of Things, Security and Privacy aspects in AI, and Blockchain and Digital Twin Integrated Applications in AI.