IEEE

A Framework for Time-Series Dynamic Modeling of Carbon Consumption in Sintering Process

Abstract: It becomes apparent that time-series dynamic prediction for carbon consumption in sintering production process holds immense significance in the steel industry, as it plays a pivotal role in ...
IEEE

Probabilistic Approximation of Stochastic Time Series Using Bayesian Recurrent Neural Network

Abstract: In this brief, we investigate the approximation theory (AT) of Bayesian recurrent neural network (BRNN) for stochastic time series forecasting (TSF) from a probabilistic standpoint. Due to ...
Nature

Python, the movie! The programming language’s origin story comes to the silver screen

In 2005, Travis Oliphant was an information scientist working on medical and biological imaging at Brigham Young University in Provo, Utah, when he began work on NumPy, a library that has become a ...
Yardbarker

Lynx use epic comeback to clinch series, avoid WNBA chaos

When the Golden State Valkyries built an 18-point lead over the Minnesota Lynx on Wednesday night, it felt like another WNBA playoff series was headed for a do-or-die game. There are already two of ...