Embedded Artificial Intelligence

Embedded Artificial Intelligence

Real-Life Applications and Case Studies

Boruah, Arpita Nath; Loyola-Gonzalez, Octavio; Goswami, inal; Kumar, Manoj

Taylor & Francis Ltd

02/2025

320

Dura

9781032766607

Pré-lançamento - envio 15 a 20 dias após a sua edição

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Section A: Overview of Embedded Systems and Artificial Intelligence 1. Unleashing Intelligence at the Edge: Exploring Machine Learning in Embedded Systems 2. Fusion of Edge Computing in AI-Enabled Embedded Technologies 3. Developing Edge AI for Embedded Systems 4. AI at the Edge: Merging Intelligence and Distributed Computing SECTION B: Case Studies and Practical Applications of AI-enabled Embedded Systems 5. Transformative Impact of AI-Enabled Embedded Systems in Financial Services: Case Studies and Practical Applications 6. Embedded AI Approaches for Multi-organ Critical Care Diagnostics Support and Decision making - Current trends and Emerging Scenarios 7. Embedded AI-Based Approaches for Skin Cancer Detection: Machine Learning Techniques and Applications 8. Artificial Intelligence and Automated Deep Learning for Medical Imaging 9. A comprehensive review on Embedded systems security using
Machine Learning 10. Embedding Business Analysis for Successful AI-Powered Digital Transformation 11. AI in Implementation of EDEEC protocol for 4-Level Scalable
Heterogeneous Wireless Sensor Networks 12. Side Channel Attack-Resistant Embedded Systems 13. Smart Irrigation System using IoT-based devices 14. Revolutionizing Healthcare from Inside - Leveraging Expanded Reality with Ingestible Sensors 15. Object Detection using Opencv 16. Analytical Study of Dominating features of Intelligent Controller over Conventional Controller SECTION C: Ethical Considerations in Embedded AI 17. Data Security and Ethical Considerations in Embedded AI Systems 18. Security of Social Media Content for AI-Embedded Systems: Comparative Analysis
High Performance Computing;System design;AI-rooted IoT system design automation;Embedded Monitoring system;Edge AI;AI;Embedded systems;ML;VLSI system;parallel computing;Low power systems