UCLA researchers have introduced a framework for synthesizing arbitrary, spatially varying 3D point spread functions (PSFs) ...

The model’s applicability is confirmed across ten different temperature datasets. Consequently, the proposed GlobalTempNet, coupled with the EGNT process, emerges as a robust, reliable, and ...

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.

Time series analysis is fundamental in many fields, from business forecasting to scientific research. While the Python ecosystem offers tools like pandas, they sometimes can be verbose and not ...

This article aims to address the problem of time-series forecasting. Current state-of-the-art forecasting models lack the ability to mine the spatiotemporal dependence. How to mine more useable ...

Enterprise software maker Linear has raised an $82 million Series C funding round valuing the startup at $1.25 billion, the company said on Tuesday.