Artificial Intelligence of Things First International Conference, ICAIoT 2023, Chandigarh, India, March 30–31, 2023, Revised Selected Papers, Part I /
Artificial Intelligence of Things First International Conference, ICAIoT 2023, Chandigarh, India, March 30–31, 2023, Revised Selected Papers, Part I / [electronic resource] :
edited by Rama Krishna Challa, Gagangeet Singh Aujla, Lini Mathew, Amod Kumar, Mala Kalra, S. L. Shimi, Garima Saini, Kanika Sharma.
- 1st ed. 2024.
- XXIX, 379 p. 185 illus., 149 illus. in color. online resource.
- Communications in Computer and Information Science, 1929 1865-0937 ; .
- Communications in Computer and Information Science, 1929 .
These two volumes constitute the revised selected papers of First International Conference, ICAIoT 2023, held in Chandigarh, India, during March 30–31, 2023. The 47 full papers and the 10 short papers included in this volume were carefully reviewed and selected from 401 submissions. The two books focus on research issues, opportunities and challenges of AI and IoT applications. They present the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of AI algorithms implementation in IoT Systems.
9783031487743
10.1007/978-3-031-48774-3 doi
Artificial intelligence.
Database management.
Machine learning.
Application software.
Software engineering.
Artificial Intelligence.
Database Management System.
Machine Learning.
Computer and Information Systems Applications.
Software Engineering.
Q334-342 TA347.A78
006.3
These two volumes constitute the revised selected papers of First International Conference, ICAIoT 2023, held in Chandigarh, India, during March 30–31, 2023. The 47 full papers and the 10 short papers included in this volume were carefully reviewed and selected from 401 submissions. The two books focus on research issues, opportunities and challenges of AI and IoT applications. They present the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of AI algorithms implementation in IoT Systems.
9783031487743
10.1007/978-3-031-48774-3 doi
Artificial intelligence.
Database management.
Machine learning.
Application software.
Software engineering.
Artificial Intelligence.
Database Management System.
Machine Learning.
Computer and Information Systems Applications.
Software Engineering.
Q334-342 TA347.A78
006.3