Now showing items 1-3 of 3
Deep convolutional autoencoder for radar-based classification of similar aided and unaided human activities
Radar-based activity recognition is a problem that has been of great interest due to applications such as border control and security, pedestrian identification for automotive safety, and remote health monitoring. This ...
Algorithmic financial trading with deep convolutional neural networks: Time series to image conversion approach
(Elsevier Ltd, 2018-09)
Computational intelligence techniques for financial trading systems have always been quite popular. In the last decade, deep learning models start getting more attention, especially within the image processing community. ...
Financial time series forecasting with deep learning : A systematic literature review: 2005-2019
(Elsevier Ltd, 2020-05)
Financial time series forecasting is undoubtedly the top choice of computational intelligence for finance researchers in both academia and the finance industry due to its broad implementation areas and substantial impact. ...