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A Bi-LSTM Autoencoder Framework for Anomaly Detection -- A Case Study of
  a Wind Power Dataset

A Bi-LSTM Autoencoder Framework for Anomaly Detection -- A Case Study of a Wind Power Dataset

17 March 2023
Ahmed Shoyeb Raihan
I. Imtiaz Ahmed
    AI4TS
ArXivPDFHTML

Papers citing "A Bi-LSTM Autoencoder Framework for Anomaly Detection -- A Case Study of a Wind Power Dataset"

3 / 3 papers shown
Title
Application of Attention Mechanism with Bidirectional Long Short-Term Memory (BiLSTM) and CNN for Human Conflict Detection using Computer Vision
Application of Attention Mechanism with Bidirectional Long Short-Term Memory (BiLSTM) and CNN for Human Conflict Detection using Computer Vision
Erick da Silva Farias
Eduardo Palhares Junior
64
0
0
25 Feb 2025
Applications of Federated Learning in Manufacturing: Identifying the
  Challenges and Exploring the Future Directions with Industry 4.0 and 5.0
  Visions
Applications of Federated Learning in Manufacturing: Identifying the Challenges and Exploring the Future Directions with Industry 4.0 and 5.0 Visions
Farzana Islam
Ahmed Shoyeb Raihan
Imtiaz Ahmed
FedML
AI4CE
17
4
0
27 Feb 2023
Smart Metering System Capable of Anomaly Detection by Bi-directional
  LSTM Autoencoder
Smart Metering System Capable of Anomaly Detection by Bi-directional LSTM Autoencoder
Sangkeum Lee
Hojun Jin
S. Nengroo
Y. Doh
Chun-leung Lee
Taewook Heo
Dongsoo Har
13
13
0
06 Dec 2021
1