Study compares machine learning models of raindrop formation

Raindrops form inside clouds when tiny particles of water collide and stick together, forming larger droplets that eventually ...
Eos

Comparing Machine Learning Models of Raindrop Formation

Better simulations of raindrop formation could help improve climate and weather models. This newsletter rocks. Get the most ...

Day-night ocean warming helps explain why El Niño outpaces La Niña in models

Researchers have long known that there is an asymmetry in the El Niño-Southern Oscillation (ENSO), the confluence of wind and ...
IEEE

Progressive Barrier Tightened Fast Nonlinear Model Predictive Control for High-Performance Path Tracking

Abstract: In this article, we propose a novel, fast, and accurate numerical algorithm for nonlinear model predictive control (NMPC) with application to path-tracking of autonomous vehicles (AVs).
GitHub

ut-beg-texnet/NonLinLoc

The NonLinLoc (Non-Linear Location) package is a set of programs for velocity model construction, travel-time calculation and probabilistic, non-linear, global-search earthquake location in 3D ...
IEEE

Nonlinear Model Predictive Control using a Modified Sequential Convex Programming

Abstract: This paper presents a nonlinear model predictive control (NMPC) scheme based on sequential convex programming (SCP). We propose a modified SCP algorithm for nonlinear MPC that adaptively ...