Abstract: Recently, accurate crowd flow prediction has become increasingly important for applications such as urban management, public safety, and transportation planning. This task is challenging due ...

Prompt quality is often judged subjectively. This project provides a repeatable simulation pipeline with transparent scoring, configurable weighting, and benchmark workflows that can be run from both ...

Abstract: This paper introduces PyWiSim, a Python-based simulation framework designed for wireless systems that falls somewhere between a link simulator and a system simulator. Link simulators model ...

When the NFL draft comes to town, the host city’s hotels, bars and restaurants fill, while its downtown gets three days of national exposure. Detroit’s 2024 draft drew more than 775,000 fans and ...

When the NFL draft comes to town, the host city’s hotels, bars and restaurants fill, while its downtown gets three days of national exposure. Detroit’s 2024 draft drew more than 775,000 fans and ...

If you have trouble following the instruction below, feel free to join OSCER weekly zoom help sessions. If you're doing deep learning neural network research, tensorflow need no introduction. It is ...

A Disney Resort reached capacity in a few hours recently, leading to a mass crowd trampling one another in anticipation of being among the first to visit a new Frozen-themed land, and a woman nearly ...

CrowdSafeX is a real-time computer vision system that detects unsafe crowd dynamics before critical situations occur. Instead of only counting people, the system analyzes how risk develops inside ...

There’s a moment every theme park fan recognizes—the point when excitement starts to give way to hesitation. Not because the park isn’t worth visiting, but because timing suddenly matters more than ...