[HTML][HTML] Harnessing machine learning for assessing climate change influences on groundwater resources: a comprehensive review

A Bamal, MG Uddin, AI Olbert - Heliyon, 2024 - cell.com
Climate change is a major concern for a range of environmental issues including water
resources especially groundwater. Recent studies have reported significant impact of …

[HTML][HTML] Data-driven modelling for assessing trophic status in marine ecosystems using machine learning approaches

MG Uddin, S Nash, A Rahman, T Dabrowski… - Environmental …, 2024 - Elsevier
Assessing eutrophication in coastal and transitional waters is of utmost importance, yet
existing Trophic Status Index (TSI) models face challenges like multicollinearity, data …

[HTML][HTML] Assessing water quality of an ecologically critical urban canal incorporating machine learning approaches

AM Sajib, MTM Diganta, M Moniruzzaman… - Ecological …, 2024 - Elsevier
This study assessed water quality (WQ) in Tongi Canal, an ecologically critical and
economically important urban canal in Bangladesh. The researchers employed the Root …

A comprehensive review of various environmental factors' roles in remote sensing techniques for assessing surface water quality

MTM Diganta, MG Uddin, A Rahman… - Science of The Total …, 2024 - Elsevier
The aim of this research was to evaluate the existing remote sensing (RS) products, various
tools and techniques, and their limitations in retrieving the optically active (OA) Chlorophyll-a …

[HTML][HTML] Assessment of human health risk from potentially toxic elements and predicting groundwater contamination using machine learning approaches

MG Uddin, MH Imran, AM Sajib, MA Hasan… - Journal of Contaminant …, 2024 - Elsevier
Abstract The Rooppur Nuclear Power Plant (RNPP) at Ishwardi, Bangladesh is planning to
go into operation within 2024 and therefore, adjacent areas of RNPP is gaining adequate …

[HTML][HTML] AI-driven modelling approaches for predicting oxygen levels in aquatic environments

RB Singh, AI Olbert, A Samantra, MG Uddin - Journal of Water Process …, 2024 - Elsevier
Reliable water quality models are crucial for better water management and pollution control.
Biochemical oxygen demand (BOD) and dissolved oxygen (DO) are the widely recognized …

Enhancing groundwater quality assessment in coastal area: A hybrid modeling approach

MG Uddin, MMSP Rana, MTM Diganta, A Bamal… - Heliyon, 2024 - cell.com
Monitoring of groundwater (GW) resources in coastal areas is vital for human needs,
agriculture, ecosystems, securing water supply, biodiversity, and environmental …

Water quality assessment tool for on-site water quality monitoring

SO Olatinwo, TH Joubert, DD Olatinwo - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Reliable water quality monitoring requires on-site processing and assessment of water
quality data in near real-time. This helps to promptly detect changes in water quality, prevent …

Leveraging GIS-based AHP, remote sensing, and machine learning for susceptibility assessment of different flood types in peshawar, Pakistan

M Tayyab, M Hussain, J Zhang, S Ullah, Z Tong… - Journal of …, 2024 - Elsevier
Due to its diverse topography, Pakistan faces different types of floods each year, which
cause substantial physical, environmental, and socioeconomic damage. However, the …

Learning a neural network-based soft sensor with double-errors parallel optimization towards effluent variable prediction in wastewater treatment plants

D Li, C Yang, Y Li, Y Chen, D Huang, Y Liu - Journal of Environmental …, 2024 - Elsevier
With the development of machine learning and artificial intelligence (ML/AI) models, data-
driven soft sensors, especially the neural network-based, have widespread utilization for the …