Enabling Air Pollution Prediction through IoT and Machine Learning
Journal Title: International Journal of Trend in Scientific Research and Development - Year 2020, Vol 4, Issue 3
Abstract
Large scale industrialization and the increase in the number of factories and industries across major cities in the world have been contributing to the decreasing air quality. This is since a rapid increase in the population across the world has prompted the majority of the companies across the globe to adopt mass production activities to keep up with the increasing demand. This is evident in the fact that most of the big cities have an increasing number of cases of respiratory illnesses and asthmatic symptoms in the populous. Therefore, there is an urgent need to address these issues to provide a better environment and reduce such incidences. The Internet of Things or IoT platform is a quite a promising platform for this approach which has been getting increasingly affordable and approachable. Therefore, in the approach stipulated in this research, the IoT platform has been utilized in addition to the Machine Learning paradigms to achieve accurate air quality predictions. The proposed methodology utilizes K nearest neighbors and Linear Regression, along with the Hidden Markov Model for effective Pollution level estimation. Suraj Kapse | Akshay Kurumkar | Vighnesh Manthapurwar | Prof. Rajesh Tak "Enabling Air Pollution Prediction through IoT and Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30739.pdf Paper Url :https://www.ijtsrd.com/engineering/information-technology/30739/enabling-air-pollution-prediction-through-iot-and-machine-learning/suraj-kapse
Authors and Affiliations
Suraj Kapse | Akshay Kurumkar | Vighnesh Manthapurwar | Prof. Rajesh Tak
Keywords
Related Articles
- EP ID EP686270
- DOI -
- Views 116
- Downloads 0
Violation of Child Rights in Institutions
Childhood is an important formative stage of human development as it hold the potential to the future development of any society. Children who are brought up in an environment which is conducive to their intellectual, ph...
Effect of Small Stores Service Quality on Customer Satisfaction
The purpose of this work is to understand the importance and impact of service quality on customer satisfaction in selected small stores in 3 cities of Mongolia using SERVQUAL and GAP models. The paper also discusses var...
An Appraisal of the Features of Admiralty Jurisdiction under Maritime Law
The operation of admiralty jurisdiction depends on well known features. Maritime lien being a historic feature of modern maritime law has its root in the medieval European lex maritime. This lien which arose by operation...
Multisystem Inflammatory Syndrome in Children MIS C and Covid 19
Multisystem inflammatory syndrome in children MIS C may be a serious condition that appears to be linked to corona virus disease 2019 COVID 19 . MIS C is taken into account a syndrome - a gaggle of signs and symptoms, no...
Attention Deficit Hyperactivity Disorder ADHD in DSM 5 A Trial for Cultural Adaptation in Bangladesh
The aim of this study was to adapt Attention deficiency hyperactivity disorder criteria in DSM 5 for measuring ADHD level of children of Bangladesh. Data were collected from 238 students ages between 5 to 17 years of thr...