Crowd Prediction atVarious Public Places forCovid-19 Spread Prevention Employing Linear Regression

Autor: S. Md. Riyaz Naik, Farooq Sunar Mahammad ,MullaSuleman, S Danish Hussain, S Waseem Akram, Narasimha Reddy, N Naresh
Rok vydání: 2022
DOI: 10.5281/zenodo.7375736
Popis: Input from a simple sensor-basedpeople countersmodule is taken as training data for a Linear Regression and a K-Means model for predicting crowdsat various public places. The influencing factor can be either time or distance and the outcome factor be crowd strength at a place. By training a Linear Regression and a K-Means algorithm, an efficient predictive model for crowd prediction can be created.
Databáze: OpenAIRE