Data augmentation (DA) is a collection of techniques that generate new data points from current data to enhance the amount of data artificially. Making minor adjustments to data or utilizing deep ...

taxi/bike flow/volume prediction, precipitation forecasting, and weather forecasting. GeoTorchAI contains various modules for deep learning and data preprocessing in both raster imagery and ...

A framework around Tensorflow-Keras is provided that makes it easy to train and evaluate any deep learning architecture on imaging flow cytometry data. In case your data is acquired on an ...

Abstract: In recent years, many new deep learning approaches for solving optical flow estimation have been showing impressive ... we test several image preprocessing methods with the goal of finding ...

And the traffic flow prediction ... task where data are generated from non-Euclidean domains, and the traffic network can be represented as graphs naturally where nodes have complex spatial ...

After data preprocessing, the deep learning techniques described in Section 2 are employed ... Figure 10 illustrates the flow chart of entire process from data collection to fault diagnosis, and the ...