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Artificial Intelligence and Digital Twin Technology: 1st International Conference, IconAIDTT 2023, Sivakasi, India, April 26-28, Proceedings
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Artificial Intelligence and Digital Twin Technology: 1st International Conference, IconAIDTT 2023, Sivakasi, India, April 26-28, Proceedings in Franklin, TN
Current price: $64.99
Barnes and Noble
Artificial Intelligence and Digital Twin Technology: 1st International Conference, IconAIDTT 2023, Sivakasi, India, April 26-28, Proceedings in Franklin, TN
Current price: $64.99
Loading Inventory...
Size: Paperback
This book constitutes papers from the 1st International Conference on Artificial Intelligence and Digital Twin Technology, IconAIDTT 2023, held in Sivakasi, India, April 26–28, 2023.
The 12 full papers and the 1 short paper included in this volume were carefully reviewed and selected from 41 submissions. The papers cover the following topics: Advanced AI and IoT Solutions for Environmental, Healthcare, and Security Challenges; Deep Learning Techniques for Wireless networks and Data Analysis.
The 12 full papers and the 1 short paper included in this volume were carefully reviewed and selected from 41 submissions. The papers cover the following topics: Advanced AI and IoT Solutions for Environmental, Healthcare, and Security Challenges; Deep Learning Techniques for Wireless networks and Data Analysis.
This book constitutes papers from the 1st International Conference on Artificial Intelligence and Digital Twin Technology, IconAIDTT 2023, held in Sivakasi, India, April 26–28, 2023.
The 12 full papers and the 1 short paper included in this volume were carefully reviewed and selected from 41 submissions. The papers cover the following topics: Advanced AI and IoT Solutions for Environmental, Healthcare, and Security Challenges; Deep Learning Techniques for Wireless networks and Data Analysis.
The 12 full papers and the 1 short paper included in this volume were carefully reviewed and selected from 41 submissions. The papers cover the following topics: Advanced AI and IoT Solutions for Environmental, Healthcare, and Security Challenges; Deep Learning Techniques for Wireless networks and Data Analysis.
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