High-resolution CMIP6 models shown to better capture long-term precipitation trends in high mountain Asia

High Mountain Asia (HMA), the source region of major Asian rivers, plays a vital role in sustaining downstream water and ...
How-To Geek on MSN

How to run R-style linear regressions in Python the easy way

If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...
How-To Geek on MSN

I Use Python, but I’m Learning R and the Tidyverse for Data Analysis Too

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...
Scientific Research Publishing

Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning ()

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...
SciELO

Econometric model of iron ore through principal component analysis and multiple linear regression

Price of iron ore is affected by instabilities of microeconomic balance between supply and demand. Periods of equilibrium adjustment result in huge swings, growth or global recession. They also impact ...
IEEE

Directionality-Aware Mixture Model Parallel Sampling for Efficient Linear Parameter Varying Dynamical System Learning

Abstract: The Linear Parameter Varying Dynamical System (LPV-DS) is an effective approach that learns stable, time-invariant motion policies using statistical modeling and semi-definite optimization ...
Live Science

Robots receive major intelligence boost thanks to Google DeepMind's 'thinking AI' — a pair of models that help machines understand the world

Google DeepMind has unveiled a pair of artificial intelligence (AI) models that will enable robots to perform complex general tasks and reason in a way that was previously impossible. Earlier this ...
IEEE

Distributed Model Predictive Control for Linear Multiagent System with Unknown Parameters

Abstract: This paper investigates the distributed consensus control problem for linear multiagent systems with unknown system parameters. First, a time-varying estimation system is designed to ...