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 ...
Nature

Attention mechanism based CNN-LSTM hybrid deep learning model for atmospheric ozone concentration prediction

Considering that ozone is essential to understanding air quality and climate change, this study presents a deep learning method for predicting atmospheric ozone concentrations. The method combines an ...
Science Daily

Researchers use deep learning to predict flooding this hurricane season

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal regions, ...