Trains on MSN

Large scale battery and Blunami conversion: A Beginner's Journey

I never thought I’d get serious about Large scale (G gauge) model railroading, but here I am. This past summer, I successfully bid on a 1:22.5-scaled C-16 2-8-0 in Colorado & Southern livery at an ...
IEEE

Optimization of ATO Control for Urban Rail Trains Considering Variation of Motor Parameters

Abstract: This paper investigates the optimization of automatic train operation (ATO) system for urban rail trains considering the variation of motor parameters. With the rapid development of urban ...
GitHub

Easily use and train state of the art retrieval methods in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.

The main motivation of RAGatouille is simple: bridging the gap between state-of-the-art research and alchemical RAG pipeline practices. RAG is complex, and there are many moving parts. To get the best ...
IEEE

Advancing Industrial Process Control With Deep Learning-Enhanced Model Predictive Control for Nonlinear Time-Delay Systems

Abstract: In the process industries, nonlinear and large time-delay systems pose significant challenges for efficient model predictive control (MPC). The advent of deep learning offers innovative ...