A radical safety measure for identifying environmental changes using machine learning algorithms

PR Kshirsagar, H Manoharan, S Selvarajan… - Electronics, 2022 - mdpi.com
Due to air pollution, pollutants that harm humans and other species, as well as the
environment and natural resources, can be detected in the atmosphere. In real-world …

Environmental hazard assessment and monitoring for air pollution using machine learning and remote sensing

S Abu El-Magd, G Soliman, M Morsy… - International Journal of …, 2023 - Springer
The prediction and study of air pollution is a complex process due to the presence of
controlling factors, different land use, and different sources for the elaboration of pollution. In …

[HTML][HTML] Forecasting and mitigation of global environmental carbon dioxide emission using machine learning techniques

H Bhatt, M Davawala, T Joshi, M Shah… - Cleaner Chemical …, 2023 - Elsevier
Carbon dioxide emission has emerged as a major concern in the 21st century. The rising
global average temperature and its impact on climate change has a major impact on the …

[PDF][PDF] A literature review on prediction of air quality index and forecasting ambient air pollutants using machine learning algorithms

RM Patil, HT Dinde, SK Powar… - Int J Innov Sci Res …, 2020 - academia.edu
Day by day the air pollution becomes serious concern in India as well as in overall world.
Proper or accurate prediction or forecast of Air Quality or the concentration level of other …

[PDF][PDF] Implementation of machine learning algorithms for analysis and prediction of air quality

D Sanjeev - International Journal of Engineering Research & …, 2021 - academia.edu
Learning algorithms, Random forest (RF), Support vector machine (SVM), and, Artificial
neural networks (ANN), have been discussed. Today air pollution is one of the biggest …

Prediction of air pollutants using supervised machine learning

SK Yarragunta, MA Nabi - 2021 5th International Conference …, 2021 - ieeexplore.ieee.org
Air pollution is a severe problem in areas where population density is high such as
metropolitan cities. Various types of emissions caused by people's actions, such as …

Air quality and urban sustainable development: the application of machine learning tools

NI Molina-Gómez, JL Díaz-Arévalo… - International Journal of …, 2021 - Springer
Air quality has an effect on a population's quality of life. As a dimension of sustainable urban
development, governments have been concerned about this indicator. This is reflected in the …

[PDF][PDF] Recognition of future air quality index using artificial neural network

R Raturi, JR Prasad - … Journal of Engineering and Technology (IRJET …, 2018 - academia.edu
Due to a major increase in pollution day by day so it is required to predict pollution of the
next date, next months, next year. Using some previous air related data. Air pollution is …

Development of air quality monitoring (AQM) models using different machine learning approaches

C Amuthadevi, DS Vijayan… - Journal of Ambient …, 2021 - Springer
Air Quality assessment and forecasting are the essentials today and they attracted many
researchers. Environmental organizations regularly monitor and predict the air contaminants …

An IoT based system for magnify air pollution monitoring and prognosis using hybrid artificial intelligence technique

A Almalawi, F Alsolami, AI Khan, A Alkhathlan… - Environmental …, 2022 - Elsevier
Air pollution is the existence of atmospheric chemicals damaging the health of human
beings and other living organisms or damaging the environment or resources. Rarely any …