Predicting the Impacts of the Environment and Severity of High-risk Burns by AIML-Reference-Cited by-同舟云学术

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Predicting the Impacts of the Environment and Severity of High-risk Burns by AIML

Published:2023-10-27 Issue: Volume:105 Page:1-6
ISSN:
Container-title:2023 International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS)
language:
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Author:

Divyavani G¹,Rani B. Usha²,Kumar P Ganesh³,Rani T Sudha³

Affiliation:

1. Bhoj Reddy Engineering College for Women,Department of Computer Science & Engineering,Hyderabad,Telangana,India

2. Aditya Institute of Technology and Management,Department of Information Technology,Tekkali,Andhra Pradesh,India

3. Bhoj Reddy Engineering College for Women,Department of Information Technology,Hyderabad,Telangana,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10525677/10525695/10526041.pdf?arnumber=10526041

Reference19 articles.

1. Hidden Markov Model Enabled Prediction and Visualization of Cyber Agility in IoT era

2. A knowledge-based approach for Trend Impact Analysis

3. Network Hazard Flow for Multi-Tiered Discriminator Analysis Enhancement with Systems- Theoretic Process Analysis

4. Actionable guidance for high-consequence AI risk management: Towards standards addressing AI catastrophic risks;Barrett;arXiv preprint arXiv:2206.08966,2022

5. Mitigating Poisoning Attack in Federated Learning

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