Anomaly Detection in IoT Data-Reference-Cited by-同舟云学术

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Anomaly Detection in IoT Data

Published:2023-05-31 Issue: Volume: Page:
ISSN:
Container-title:2023 IST-Africa Conference (IST-Africa)
language:
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Author:

Kabi Jason N.¹,Maina Ciira Wa¹,Mharakurwa Edwell T.²

Affiliation:

1. Dedan Kimathi University of Technology. P.O. BOX -PRIVATE BAG – 10143, Dedan Kimathi,Centre for Data Science and Artificial Intelligence,Nyeri,Kenya

2. Dedan Kimathi University of Technology.P.O. BOX -PRIVATE BAG – 10143, Dedan Kimathi,Department of Electrical and Electronic Engineering,Nyeri,Kenya

Funder

International Development Research Centre

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10187719/10187748/10187760.pdf?arnumber=10187760

Reference7 articles.

1. Leveraging IoT and Machine Learning for Improved Monitoring of Water Resources - A Case Study of the Upper Ewaso Nyiro River;kabi;2021 IST-Africa Conference (IST-Africa),2021

2. DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series

3. Anomaly Detection Techniques using Deep Learning in IoT: A Survey

4. Machine Learning vs Deep Learning for Anomaly Detection and Categorization in Multi-cloud Environments

5. Anomaly Detection for IoT Time-Series Data: A Survey

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