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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 109
Article Submitted : 16095
Article Published : 7083
Total Authors : 19053
Total Reviewer : 687
Total Countries : 125
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| Paper Title: | Real-Time Air Quality Prediction Using Machine Learning Approaches |
| Authors Name: | Geetanjali Hota |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_183046
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| Published Paper Id: | IJRTI2207152 |
| Published In: | Volume 7 Issue 7, July-2022 |
| DOI: | |
| Abstract: | Nowadays air pollution is a major problem in developing countries. It has several bad effects on human body. Humans are very sensitive to humidity, as the skin relies on the air to get rid of moisture. The process of sweating is to keep our body cool and maintain its current temperature. If the air is at 100-percent relative humidity, sweat will not evaporate into the air. As a result, we feel much hotter than the actual temperature when the relative humidity is high. If the relative humidity is low, we can feel much cooler than the actual temperature because our sweat evaporates easily. Through the work, air quality parameters are tackled by using machine learning approaches to predict the Relative Humidity in air. We have proposed a refined model to predict the hourly air Relative Humidity on the basis of meteorological data of previous days by formulating the prediction over 24 h as a multi-task learning (MTL) problem with the help of Linear Regression, Decision Tree Regression, Random Forest Regression and Support Vector Machine. This enables to select a good model with different regularization techniques. The results have been compared by using four algorithms for prediction of air quality. |
| Keywords: | Linear Regression, Decision Tree Regression, Random Forest Regression, Support Vector Regression. |
| Cite Article: | "Real-Time Air Quality Prediction Using Machine Learning Approaches ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 7, page no.985 - 988, July-2022, Available :http://www.ijrti.org/papers/IJRTI2207152.pdf |
| Downloads: | 000204903 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2207152
Registration ID:183046
Published In: Volume 7 Issue 7, July-2022
DOI (Digital Object Identifier):
Page No: 985 - 988 Country: Khurda, Odisha, India Research Area: Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2207152 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2207152 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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