Abstract: To address the nonlinearity, variability, and long-term dependency challenges in temperature time series data of complex industrial systems, this study introduces a temperature forecasting ...

This project shows how to find anomalies in financial time series data, specifically the stock values of Apple (AAPL), using a LSTM Autoencoder. Stock price anomalies may be a sign of major market ...

Abstract: The convergence of the Internet of Things (IoT) and Software-Defined Networking (SDN) has paved the way for a new technological paradigm in Healthcare Industry 5.0. This integration ...