Scientific Research Publishing

Intrusion Detection for Edge-IoT Using LSTM-Autoencoder ()

1 Laboratoire des Sciences Technologiques de l’Information et de la Communication (LASTIC), Ecole Supérieure Africaine des Technologie de l’Information et de la Communication (ESATIC), Abidjan, Côte d ...
GitHub

LSTM Autoencoder for Time-Series Anomaly Detection

This project implements a univariate LSTM Autoencoder to detect anomalies in environmental time-series data from the Numenta Anomaly Benchmark (NAB) dataset. The model learns to reconstruct normal ...
GitHub

LSTM Autoencoder-based Anomaly Detection

This project is a personal practice attempt at performing anomaly detection on a multivariate time-series dataset. The dataset chosen is the Tennessee Eastman dataset, and anomalies in the data are ...
IEEE

Monitoring of Flow Rate Measurements Using LSTM Autoencoder

Abstract: Integration of automation in operation and maintenance (O&M) tasks can enhance early detection of faults in advanced reactors (AR). Data-driven machine learning (ML) methods provide a viable ...
IEEE

Comparison and Analysis of LSTM-Capsule Networks and 3DConv-LSTM Autoencoder in Ambient Anomaly Detection

Abstract: Considering the population density in cities, manual detection of abnormal situations in the ambient by humans is an economically expensive and time-consuming application. In recent years, a ...