In this video, we build a Python simulation to compute the electric field produced by a uniformly charged ring. Using numerical integration, we visualize the field behavior and compare it with key ...

ABSTRACT: Accurate prediction of water travel time in drip irrigation systems is essential for efficient water and nutrient delivery. This study develops a predictive model for travel time by ...

Objectives We aim to use an agent-based model to accurately predict the spread of COVID-19 within multiple US state prisons. Design We developed a semistochastic transmission model of COVID-19.

There have never been more basketball stars from France. Two best friends saw it coming decades ago and are reaping the benefits. By Tania Ganguli Last spring, in his quest to become one of the ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

In the 1980s and ’90s, SFI played laboratory to a promising new method known as agent-based modeling. Instead of relying on averages and unrealistic mathematical assumptions, these models were built ...

Manny Medina, previously best-known as the founder of sales automation startup Outreach ($4.4 billion valuation), has wowed investors with his young startup, Paid. Paid just closed an oversubscribed ...

In this tutorial, we walk through the process of building an advanced AI desktop automation agent that runs seamlessly in Google Colab. We design it to interpret natural language commands, simulate ...

Abstract: In unmanned aerial vehicle (UAV) networks, communication protocols and algorithms are essential for cooperation and collaboration between UAVs. Simulation provides a costeffective solution ...

1 University of Colombo School of Computing, University of Colombo, Colombo, Sri Lanka 2 Faculty of Engineering and Design, University of Auckland, Auckland, New Zealand Introduction: Large Language ...