Precise and dependable forecasting of Particulate Matter 2.5 ( P M 2.5 ) and P M 10 levels hold significant importance for the public's ability to proactively mitigate exposure to air pollution and for informing governmental policy responses. Nonetheless, predicting PM2.5 and PM10 concentrations...

Currently, most of the global population resides in metropolitan areas, where air quality standards are not properly monitored. As a result, people are constantly exposed to air contaminants that exceed the thresholds set by the World Health Organization (WHO). Air quality monitoring system is often...

Air quality prediction is crucial for environmental monitoring and public health. This work presents a new prediction model for air quality prediction using a one-dimensional convolutional neural network (1D- CNN). The proposed model resembles U-Net architecture which is used in image segmentation...

The gasification of biomass waste, such as Prosopis Juliflora wood( karuvellam wood), holds significant potential for reducing environmental impact and promoting sustainability. This study focused on investigating the gasification process of Prosopis Juliflora wood using an two stage air-preheated...

Pakistan, in recent years, has been at the forefront of the heavily striking havoc of smog. In light of the growing number of smog episodes, it is crucial to gain insight into the community's perception and to observe the decision-making phenomenon of the community's preventive behavior. This study...