Nature

Investigation of different LSTM-based encoder-decoder neural networks for vehicle speed prediction

In this work, different Long Short-Term Memory (LSTM) encoder-decoder artificial neural networks are investigated. These networks differ in their complexity. The aim of this work is to evaluate ...
Nature

An optimized LSTM-based deep learning model for anomaly network intrusion detection

In the modern age, substantial advancements have been made in the realm of Digital Technology, the Internet of Things (IoT), and diverse portable communication devices. The tremendous proliferation of ...
pv magazine International

Ultra-short-term PV forecasting based on convolutional neural network, long short-term memory

Scientists have created a novel probabilistic model for 5-minutes ahead PV power forecasting. The method combines a convolutional neural network with bidirectional long short-term memory, attention ...