Air quality monitoring, modelling and forecasting are considered pressing and challenging
topics for citizens and decision-makers, including the government. The tools used to achieve …

Air pollution is the contamination of the atmosphere by any biological, physical, or chemical
means. Bengaluru, the Silicon Valley of India, has air pollution levels that exceed WHO …

Nitrogen Dioxide (NO 2) is a common air pollutant associated with several adverse health
problems such as pediatric asthma, cardiovascular mortality, and respiratory mortality. Due …

In this article, the vegetative drought prediction employing Deep Learning (DL) models is
designed, incorporating rainfall data and NOAA satellite-data-derived Vegetation Health …

This paper presents a set of machine learning algorithms, including grid-based
(Bidirectional Convolutional Long Short-Term Memory) and graph-based (Attention …

This paper introduces the reconstructed dataset along with procedures to implement air
quality prediction, which consists of air quality, meteorological and traffic data over time, and …

Water temperature is an important indicator of water quality for surface water resources
because it impacts solubility of dissolved gases in water, affects metabolic rates of aquatic …

In the era of burgeoning data diversity in heterogeneous sources, unlocking valuable
insights becomes pivotal. Raw data often lack context and meaning, necessitating the …

Air quality is a highly relevant issue for any developed economy. The high incidence of
pollution levels and their impact on human health has attracted the attention of the machine …

Amid rapid urbanization in Kolkata, a city in India, forecasting air pollution, particularly PM2.
5 concentrations, stands as a critical challenge. In response, this study introduces a novel …