Padmaavathy, P. A. and Bharathi, S. Suganya and Kumar, K. Arun and Prasad, Ch. V. Sivaram and Ramachandran, G. (2022) Analysis of IoT Cloud Security Computerization Technology Based on Artificial Intelligence. THIRD INTERNATIONAL CONFERENCE ON IMAGE PROCESSING AND CAPSULE NETWORKS (ICIPCN 2022), 514.0. pp. 296-304. ISSN 2367-3370
Full text not available from this repository.Abstract
The concept of artificial intelligence enhanced sensor technologies has been aided by the creation of industrial robots, which serve as carriers of artificial intelligence. Based on this study background, the paper introduces the mobile robot climber's network model, hardware system, and application software. Simultaneously, the paper focuses on the mechanism compound technique and obstacle avoidance optimization technique for the climber robot. Simultaneously, the paper focuses on the mechanism compound method and obstacle avoidance control algorithm for the climber robot. Internet - of - things computing focuses on home and brings high importance industries together to promote smart security services such as household appliances, interactive media, home health care, and access controls in maintaining a safe and healthy, secure, resources, sustainable, and convenient home living environment.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Artificial intelligence, Computerization, Cloud computing, Networking robots, Security, IoT |
| Subjects: | Computer Science > Imaging Science & Photographic Technology |
| Divisions: | Engineering and Technology > Vinayaka Mission's Kirupananda Variyar Engineering College, Salem, India > Electronics & Communication Engineering Engineering and Technology > Vinayaka Mission's Kirupananda Variyar Engineering College, Salem, India > Electrical & Electronics Engineering Engineering and Technology > Vinayaka Mission's Kirupananda Variyar Engineering College, Salem, India > Mathematics |
| Depositing User: | Unnamed user with email techsupport@mosys.org |
| Last Modified: | 06 Feb 2026 07:13 |
| URI: | https://ir.vmrfdu.edu.in/id/eprint/7194 |
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