Next-Gen Manhole Monitoring: Autoencoder-Assisted Anomaly Detection

In various regions, the maintenance of manholes is imperative, given the potential consequences for public health and safety. Neglecting this responsibility can result in severe outcomes, including loss of lives and the spread of diseases within the community. To address these challenges, an advance...

Full description

Bibliographic Details

Published in:	2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC) pp. 1426 - 1433
Main Authors:	Krishnan, R. Santhana, Gopikumar, S., Muthu, A. Essaki, Raj, J. Relin Francis, Kumari, D. Abitha, Malar, P. Stella Rose
Format:	Conference Proceeding
Language:	English
Published:	IEEE 05.06.2024
Subjects:	Anomaly Detection Autoencoder Cloud computing Deep learning Gases Hazard Management Internet of Things Maintenance Manhole Monitoring Public Health Sensor Technology Servers Solar Power Surveillance Training
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!