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ABSTRACT. Studies have found that exposure to elevated levels of PM2.5 concentrations, both in the long term and short term, has adverse health effects.
Satya Sundar Patra (2019). Prediction of Indoor PM2.5 concentrations using Support Vector Regression. International Journal of Advance Research, ...
Sep 27, 2019 · 5 levels. This paper talks about the development of one such model that enables us to predict the indoor PM2.5 concentrations using Support ...
As a result, a space-time support vector regression model is proposed to predict hourly PM2.5 concentrations. First, to address spatial heterogeneity, spatial ...
Missing: Indoor IJARIIT
Jan 24, 2024 · In this study, four artificial intelligence models were compared to identify the optimal model for predicting the concentration ranges of PM2.5, ...
Missing: IJARIIT | Show results with:IJARIIT
Jun 12, 2023 · This study aims to propose an indoor air quality prediction method that can be easily utilized and reflects temporal characteristics using indoor and outdoor ...
Missing: IJARIIT | Show results with:IJARIIT
Nov 29, 2023 · Some researchers developed a novel technique for PM2.5 forecasting by combining Genetic algorithm and Support vector machine. The models ...
Missing: IJARIIT | Show results with:IJARIIT
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Those with a diameter of 10 microns or less (PM10) are inhalable into the lungs and can induce adverse health effects.
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