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A Survey on Anomaly Detection for Technical Systems using LSTM Networks
28 May 2021
Benjamin Lindemann
Benjamin Maschler
N. Sahlab
M. Weyrich
AI4TS
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Papers citing
"A Survey on Anomaly Detection for Technical Systems using LSTM Networks"
22 / 22 papers shown
Title
Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems
Manal Rahal
Bestoun S. Ahmed
Roger Renstrom
Robert Stener
Albrecht Wurtz
15
0
0
03 Jun 2025
Deep Learning Advancements in Anomaly Detection: A Comprehensive Survey
Haoqi Huang
Ping Wang
Jianhua Pei
Jiacheng Wang
Shahen Alexanian
Dusit Niyato
AAML
125
2
0
17 Mar 2025
AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal Properties
Xiayan Ji
Anton Xue
Eric Wong
O. Sokolsky
Insup Lee
71
1
0
31 Oct 2024
Online Model-based Anomaly Detection in Multivariate Time Series: Taxonomy, Survey, Research Challenges and Future Directions
Lucas Correia
Jan-Christoph Goos
Philipp Klein
Thomas Bäck
Anna V. Kononova
AI4TS
108
3
0
07 Aug 2024
Acquiring Better Load Estimates by Combining Anomaly and Change-point Detection in Power Grid Time-series Measurements
Roel Bouman
Linda Schmeitz
Luco Buise
Jacco Heres
Yuliya Shapovalova
Tom Heskes
70
0
0
25 May 2024
FLEX: FLEXible Federated Learning Framework
Francisco Herrera
Daniel Jiménez-López
Alberto Argente-Garrido
Nuria Rodríguez Barroso
Cristina Zuheros
Ignacio Aguilera-Martos
Beatriz Bello
Mario García-Márquez
M. V. Luzón
109
4
0
09 Apr 2024
A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods
Hanlei Jin
Yang Zhang
Dan Meng
Jun Wang
Jinghua Tan
249
96
0
05 Mar 2024
Detection Latencies of Anomaly Detectors: An Overlooked Perspective ?
Tommaso Puccetti
Andrea Ceccarelli
16
1
0
14 Feb 2024
HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks
Jiaxi Li
Guansong Pang
Ling-Hao Chen
Mohammad-Reza Namazi-Rad
63
1
0
28 Aug 2023
Comparative Study on Semi-supervised Learning Applied for Anomaly Detection in Hydraulic Condition Monitoring System
Yongqi Dong
Ke Chen
Zhi Ma
17
0
0
05 Jun 2023
CyPhERS: A Cyber-Physical Event Reasoning System providing real-time situational awareness for attack and fault response
Nils Müller
Kaibin Bao
Jörg Matthes
K. Heussen
72
6
0
26 May 2023
A Bi-LSTM Autoencoder Framework for Anomaly Detection -- A Case Study of a Wind Power Dataset
Ahmed Shoyeb Raihan
I. Imtiaz Ahmed
AI4TS
34
8
0
17 Mar 2023
Coincident Learning for Unsupervised Anomaly Detection
Ryan Humble
Zhe Zhang
F. O'Shea
Eric F. Darve
Daniel Ratner
59
2
0
26 Jan 2023
A Survey on Deep Industrial Transfer Learning in Fault Prognostics
Benjamin Maschler
AI4CE
103
2
0
04 Jan 2023
HFN: Heterogeneous Feature Network for Multivariate Time Series Anomaly Detection
Jun Zhan
Chengkun Wu
Canqun Yang
Qiucheng Miao
Xiandong Ma
AI4TS
70
2
0
01 Nov 2022
Hybrid AI-based Anomaly Detection Model using Phasor Measurement Unit Data
Yuval Abraham Regev
Henrik Vassdal
Ugur Halden
Ferhat Ozgur Catak
Umit Cali
20
4
0
21 Sep 2022
Memory-free Online Change-point Detection: A Novel Neural Network Approach
Zahra Atashgahi
Decebal Constantin Mocanu
Raymond N. J. Veldhuis
Mykola Pechenizkiy
AI4TS
50
8
0
08 Jul 2022
Privacy-preserving household load forecasting based on non-intrusive load monitoring: A federated deep learning approach
Xin-Yue Zhou
Jingru Feng
Jian Wang
Jianhong Pan
60
8
0
30 Jun 2022
A novel knowledge graph development for industry design: A case study on indirect coal liquefaction process
Zhenhua Wang
Bei-ke Zhang
Dong Gao
95
43
0
27 Nov 2021
Towards Deep Industrial Transfer Learning for Anomaly Detection on Time Series Data
Benjamin Maschler
T. Knodel
M. Weyrich
AI4TS
43
9
0
09 Jun 2021
Regularization-based Continual Learning for Anomaly Detection in Discrete Manufacturing
Benjamin Maschler
T. Pham
M. Weyrich
115
35
0
02 Jan 2021
Water Quality Prediction on a Sigfox-compliant IoT Device: The Road Ahead of WaterS
Pietro Boccadoro
Daniele Vitanio
Pietro Di Gennaro
Domenico Lofú
Pietro Tedeschi
115
23
0
27 Jul 2020
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