This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

Probabilistic forecasting for both large-scale and small-scale building-level PV power generation is tested at the time resolution of 15 mins. Testing results show the proposed method can achieve ...

In offline data-driven multiobjective optimization, no new data are available during the optimization process. Approximation models, also known as surrogates, are built using the provided offline data ...

What is Pyrad? Pyrad is a real-time data processing framework developed by MeteoSwiss and MeteoFrance. The framework is aimed at processing and visualizing polar data from individual weather radars as ...

Statistical data visualization in Python. Contribute to mwaskom/seaborn development by creating an account on GitHub.

Discover 1-minute Python hacks to automate tasks, clean data, and perform advanced analytics in Excel. Boost productivity effortlessly in day ...

According to CSA, the amendments include several notable updates: enhanced data accuracy and consistency through validation and verification measures, greater harmonization within the CSA such as the ...

As one may note (Table 1) all acf coefficients remained within the white noise limits. Thus, it may be assumed that using the parametric distributions to assess the probability of occurrence of the ...