Machine Learning Based Predictive Model for Closed Loop Air Filtering System

Autor: Bhaskar, Parumanchala
Rok vydání: 2022
Předmět:
DOI: 10.5281/zenodo.7376323
Popis: An automaton is showcased here to assess the high-quality of air with two elements: the quantity of dirt debris present inside the air and the temperature of the room. These two pieces of information are taken and a simple pinnacle-down mathematical version with a conditional clause is employed for assessing the satisfaction of air in a room. The mathematical model will consist of an easy equation. Destiny studies may be accomplished by optimising the mathematical model to enhance the accuracy of assessing the air quality. Keywords
Databáze: OpenAIRE