Hierarchical Temporal Memory based One-pass Learning for Real-Time Anomaly Detection and Simultaneous Data Prediction in Smart Grids-Reference-Cited by-同舟云学术

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Hierarchical Temporal Memory based One-pass Learning for Real-Time Anomaly Detection and Simultaneous Data Prediction in Smart Grids

Published:2020 Issue: Volume: Page:1-1
ISSN:1545-5971
Container-title:IEEE Transactions on Dependable and Secure Computing
language:
Short-container-title:IEEE Trans. Dependable and Secure Comput.

Author:

Barua Anomadarshi,Muthirayan Deepan,P. Khargonekar Pramod,Al Faruque Mohammad Abdullah

Funder

National Science Foundation

University of California Office of the President

Broadcom Fellowship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/8858/4358699/09253615.pdf?arnumber=9253615

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. Anomaly Detection in Meteorological Data Using a Hierarchical Temporal Memory Model: A Study on the Case of Kazakhstan;Fırat Üniversitesi Mühendislik Bilimleri Dergisi;2024-03-28

3. A Review of Smart Grid Anomaly Detection Approaches Pertaining to Artificial Intelligence;Applied Sciences;2024-01-31

4. HyperDetect: A Real-Time Hyperdimensional Solution For Intrusion Detection in IoT Networks;IEEE Internet of Things Journal;2024

5. A survey of anomaly detection methods for power grids;International Journal of Information Security;2023-07-08

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