LSTM-Autoencoder based Anomaly Detection for Indoor Air Quality Time Series Data

14 April 2022

Papers citing "LSTM-Autoencoder based Anomaly Detection for Indoor Air Quality Time Series Data"

7 / 7 papers shown

Title
Rogue Cell: Adversarial Attack and Defense in Untrusted O-RAN Setup Exploiting the Traffic Steering xApp Eran Aizikovich D. Mimran Edita Grolman Yuval Elovici A. Shabtai 38 0 0 03 May 2025
Decomposition-based multi-scale transformer framework for time series anomaly detection Wenxin Zhang Cuicui Luo AI4TS 25 0 0 19 Apr 2025
Self-evolving Autoencoder Embedded Q-Network Ieee J. Senthilnath Senior Member Zhen Bangjian Zhou Wei Ng Deeksha Aggarwal Rajdeep Dutta Ji Wei Yoon Phyu Aung Keyu Wu Ieee Li Fellow Xiaoli Li 64 1 0 18 Feb 2024
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions Peng Yan Ahmed Abdulkadir Paul-Philipp Luley Matthias Rosenthal Gerrit A. Schatte Benjamin Grewe Thilo Stadelmann AI4TS 36 59 0 11 Jul 2023
Reconstruction-based LSTM-Autoencoder for Anomaly-based DDoS Attack Detection over Multivariate Time-Series Data Yuanyuan Wei Ju-Seong Jang Fariza Sabrina Wen Xu S. Çamtepe Aeryn Dunmore 18 4 0 21 Apr 2023
A Bi-LSTM Autoencoder Framework for Anomaly Detection -- A Case Study of a Wind Power Dataset Ahmed Shoyeb Raihan I. Imtiaz Ahmed AI4TS 14 8 0 17 Mar 2023
Label Assisted Autoencoder for Anomaly Detection in Power Generation Plants M. Atemkeng Victor Osanyindoro Rockefeller Rockefeller Sisipho Hamlomo Jecinta Mulongo Theophilus Ansah-Narh F. Tchakounté Arnaud Nguembang Fadja 24 1 0 06 Feb 2023