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Author:   Rajan Gupta ,  Sanjana Das ,  Saibal Kumar Pal
Publisher:   Springer Verlag, Singapore
Imprint:   Palgrave Macmillan
Edition:   1st ed. 2023
Weight:   0.293kg
ISBN:  

9789811997976

ISBN 10:   9811997977
Pages:   92
Publication Date:   27 March 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Chapter 1: Algorithmic Government 1.1 Concept of Algorithmic Government 1.2 Motivation & Benefits 1.3 Large Scale Decision Making 1.4 Computing Issues in Algorithmic Government 1.5 Technological Solutions Chapter 2: Edge Computing 2.1 Concept of Edge Computing 2.2 Benefits of Edge Computing 2.3 Comparative Analysis for Edge, Fog & Cloud 2.4 AI for Edge Computing 2.5 Benefits of Edge Intelligence Chapter 3: EdgeAI 3.1 Concept of EdgeAI 3.2 Levels of Edge Intelligence 3.3 Model Training at Edge 3.4 Model Inferencing at Edge 3.5 Comparative analysis of Model Training and Inferencing at Edge Chapter 4: EdgeAI Cases for Algorithmic Government 4.1 Facial recognition for suspects at crowded places 4.2 Social Network Analysis for Citizen Behavior 4.3 Healthcare Management 4.4 Voice Enabled personal assistant 4.5 Industrial Safety and Planning 4.6 Border Security and Military planning 4.7 Citizen’s safety and support 4.8 Summary of EdgeAI Techniques Chapter 5: Design Challenges & Future Scope 5.1 Network Integration and Resource Management 5.2 Cloud & Edge Coexistence 5.3 Reliability of Edge Devices 5.4 Future Scope 5.5 Conclusion

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Author Information

Dr. Rajan Gupta is Vice President and Head of Research and Analytics Division at Analyttica Datalab, India, and has done Postdoc in Data Science and Modelling from CITAM Lab, UNG Slovenia. He has authored 4 books and more than 75 papers in the area of e-governance, algorithmic government, information systems, security and data science. Ms. Sanjana Das is an AI enthusiast currently enrolled with Deen Dayal Upadhyaya College, University of Delhi, India, for research work. Her research area includes data science, edge computing, and artificial intelligence. Dr. Saibal K. Pal is a Senior Scientist at Scientific Analysis Group, Defence Research & Development Organization (DRDO), Delhi. He has formerly served as Director of IT and Cyber Security at National Level for DRDO, India, and has authored more than 200 publications in the area of e-governance, algorithmic government, information systems, security and data science.

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