Metal organic and covalent organic framework-based QCM sensors for environmental pollutant detection and beyond
Environmental pollution has become a major global issue, worsened by the rapid growth of
industries. Traditional pollutant detection methods often require high operational …
industries. Traditional pollutant detection methods often require high operational …
[HTML][HTML] Artificial intelligence and machine learning in environmental impact prediction for soil pollution management–case for EIA process
Scientific predictions are a key component of Environmental Impact Assessments (EIA),
which can indicate the level of change within an environmental sphere (eg, soil). As part of …
which can indicate the level of change within an environmental sphere (eg, soil). As part of …
[HTML][HTML] Develo** a spatial-based predictive model for conservation area management prioritization using ecosystem service and site suitability index in Java Island
Primary forests in Indonesia are in high decline. The increase in population exacerbates
forest reductions, as forests are changed to settlements. This impacts the loss of biodiversity …
forest reductions, as forests are changed to settlements. This impacts the loss of biodiversity …
[HTML][HTML] Advancing Air Quality Monitoring Systems Towards Sustainable Green Development: Insight for Metropolitan Cities in Indonesia
Urban development, industrialization, higher living standards, and growing population,
which have led to a decline in environmental quality, including air pollution, have become …
which have led to a decline in environmental quality, including air pollution, have become …
[HTML][HTML] Modeling Proboscis monkey conservation sites on Borneo using ensemble machine learning
This study aimed to analyze the habitat suitability of the endangered Proboscis monkey
(Nasalis larvatus) on Borneo using a multi-machine-learning approach. This study …
(Nasalis larvatus) on Borneo using a multi-machine-learning approach. This study …
Spatio-temporal characterization of PM10 concentration across Abu Dhabi Emirate (UAE)
The abundance and recurrence of particulate matter in Abu Dhabi Emirate (ADE), are often
derived from different emission sources such as the combustion of hydrocarbon, producing …
derived from different emission sources such as the combustion of hydrocarbon, producing …
[HTML][HTML] Global Air Quality Index Prediction Using Integrated Spatial Observation Data and Geographics Machine Learning
Air pollution can occur in the whole world, with each region having its unique driving factors
that contribute to human's health. However, effective mitigation of air pollution is often …
that contribute to human's health. However, effective mitigation of air pollution is often …
Detailed analysis of air pollution in the Canadian prairie region: A step toward net-zero emission
Industrial, agricultural, and natural pollution pose a critical problem for the Prairie provinces
of Canada, with significant environmental and health concerns. This study addresses a …
of Canada, with significant environmental and health concerns. This study addresses a …
Spatiotemporal analysis of airborne pollutants and health risks in Mashhad metropolis: enhanced insights through sensitivity analysis and machine learning
F Ahmadian, S Rajabi, S Maleky… - … Geochemistry and Health, 2025 - Springer
The study delved into an extensive assessment of outdoor air pollutant levels, focusing
specifically on PM2. 5, SO2, NO2, and CO, across the Mashhad metropolis from 2017 to …
specifically on PM2. 5, SO2, NO2, and CO, across the Mashhad metropolis from 2017 to …
[HTML][HTML] Development of location suitability prediction for health facilities using random forest machine learning in 2030 integrating remote sensing and GIS in West …
Access to healthcare facilities is crucial in the present day. Healthcare facilities must be
proportional to the population in a given area. Therefore, it is important to increase the …
proportional to the population in a given area. Therefore, it is important to increase the …