In today's urban environments, accurately measuring and forecasting air pollution is crucial
for combating the effects of pollution. Machine learning (ML) is now a go-to method for …

Air pollution in industrial environments, particularly in the chrome plating process, poses
significant health risks to workers due to high concentrations of hazardous pollutants …

In Unmanned Aerial Vehicle (UAV) systems, packet loss during sensor data transmission
causes data missing, which reduces fault features in sensor signals and causes the …

Air pollution constitutes a significant worldwide environmental challenge, presenting threats
to both our well-being and the purity of our food supply. This study suggests employing …

Pollution acquires many forms, such as water, air, noise, heat, and light, whereas air
pollution immediately affects human health. Controlling air pollution is a critical task because …

The paper focuses on solving two problems. Firstly, we design a sensor station module of
the parameters (CO, NO 2, SO 2, O 3, PM 2.5, PM 10), which is real-time and can send data …

In a rapidly transforming urban environment like Nagpur, which is experiencing accelerated
industrial development and environmental changes, accurate air quality forecasting and its …

The health, comfort, and well-being of both humans and animals are directly affected by the
air quality index (AQI), making its monitoring essential for multiple reasons. By predicting …

This article presents a comprehensive analytical framework designed to quantify and scale
air pollution intensity using machine learning techniques. With the increasing impact of air …

This article presents a comprehensive approach to air quality monitoring by employing a
deep learning-based framework that integrates both spatial and temporal data. The …