Environmental Health

Optimizing machine learning methods for groundwater quality prediction: Case study in District Bagh, Azad Kashmir, Pakistan.

Groundwater quality monitoring is crucial for protecting the environment and human health. Machine l...

Automatic titration detection method of organic matter content based on machine vision.

This article proposes an automatic titration algorithm for organic matter content detection based on...

Predictive modelling of air pollution affecting human tuberculosis risk on Mainland China.

In this study, we investigated the correlation between air pollution indicators and pulmonary tuberc...

Air quality monitoring in Mendoza, Argentina: machine learning approaches for PM prediction.

In this study, different statistical methodologies were combined to assess the relationship between ...

The effects of PM concentrations on traffic violations and accident severity in Guangdong China.

How does air pollution affect road safety? This study examines the impact of local PM concentrations...

High-accuracy PM prediction via mutual information filtering and Bayesian-Optimized Spatio-Temporal Convolutional Networks.

Air pollution, particularly fine particulate matter (PM), poses severe threats to human health and e...

Dielectric characterization of sugar mill wastewater and its impact on soil properties in the khadar and bangar regions.

This study investigates the dielectric properties of sugar mill wastewater and its impact on surroun...

PM concentration 7-day prediction in the Beijing-Tianjin-Hebei region using a novel stacking framework.

High-precision prediction of near-surface PM concentration is a significant theoretical prerequisite...

Deep learning framework for hourly air pollutants forecasting using encoding cyclical features across multiple monitoring sites in Beijing.

Environmental managers and citizens alike are concerned with air quality. Early warning systems for ...

Integration of multiple coinflip devices for high-quality random sampling.

Artificial intelligence, scientific computing, and probabilistic computing use random sampling to ap...

Improving YOLOv11 for marine water quality monitoring and pollution source identification.

Marine pollution has become an increasingly severe environmental issue, with oil spills, marine debr...

Fusing satellite imagery and ground-based observations for PM air pollution modeling in Iran using a deep learning approach.

With the rapid advancement of urbanization and industrialization in cities, air pollution has become...

Effect of short-term exposure to particulate matter on mortality rate by cardiovascular disease in Colombia: An observational ecological study with causal machine learning.

Cardiovascular disease (CVD) is an important cause of death in older adults with pre-existing CVD. T...

Hybrid butterfly optimization and back propagation neural network for enhanced smart city data classification.

Smart cities aim to enhance resource efficiency and improve citizens' quality of life through advanc...

Microplastics assessment in the lower stretch of the Ganga River sediment from East Indian region: Influence of land use and rainfall patterns.

Microplastic (MP) pollution is increasingly viewed as a serious threat to waterways. However, little...

Artificial Intelligence-Enabled Electrocardiograms: Do 15-Lead Studies Improve Model Performance?

Noise pollution monitoring at pedestrian level by autonomous vehicles in urban areas.

This study presents a mobile noise monitoring system designed to assess pedestrian-level environment...

Developing sediment concentration prediction in the Euphrates River catchment, Türkiye, with a honey badger and coati optimization-based hybrid algorithm.

Estimation of sediment concentration (SC) is of vital importance in terms of siltation and economic ...

Toxicity of nanoplastics: machine learning combined with meta-analysis.

Nanoplastics (NPs) are widespread in ecosystems, and their biohazards are of increasing concern. The...

Recognition of suspended particles based on Mueller matrix microscopic imaging and deep learning.

Suspended particles are widely present in various aquatic environments, but they are difficult to de...

Specificity and Selectivity of Raman Spectroscopy for the Detection of Dose-Dependent Heavy Metal Toxicities.

Contamination of farmland with heavy metals (HMs), particularly arsenic, cadmium, and lead, poses si...