Frequent trend change is an important feature of financial high-frequency data. In order to model the trend of financial high-frequency data, neural networks have been widely used. However, most ...

Despite the widespread use of luminescence lifetimes in physical measurements, there seems to be no consensus on the best method for lifetime determination. Researchers in this field split into two ...

Unsupervised domain adaptation (UDA) has emerged as a powerful solution for the domain shift problem via transferring the knowledge from a labeled source domain to a shifted unlabeled target domain.

Pastas is an open source python package for processing, simulating and analyzing groundwater time series. The object oriented structure allows for the quick implementation of new model components.

hrvanalysis is a Python module for Heart Rate Variability analysis of RR-intervals built on top of SciPy, AstroPy, Nolds and NumPy and distributed under the GPLv3 license. The development of this ...