Comparison between the WFD approaches and newly developed water quality model for monitoring transitional and coastal water quality in Northern Ireland

MG Uddin, A Jackson, S Nash, A Rahman… - Science of the Total …, 2023 - Elsevier
This study aims to evaluate existing approaches for monitoring and assessing water quality
in waterbodies in the North of Ireland using newly developed methodologies. The results …

A comprehensive review of machine learning algorithms and its application in groundwater quality prediction

H Pandya, K Jaiswal, M Shah - Archives of Computational Methods in …, 2024 - Springer
Groundwater is among the utmost essential renewable resources for every organism
existing on Earth. Assessing water quality is critical for the ecosystem's stability and …

[HTML][HTML] Marine waters assessment using improved water quality model incorporating machine learning approaches

MG Uddin, A Rahman, S Nash, MTM Diganta… - Journal of …, 2023 - Elsevier
In marine ecosystems, both living and non-living organisms depend on “good” water quality.
It depends on a number of factors, and one of the most important is the quality of the water …

[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 cascade ensemble-learning model for the deployment at the edge: case on missing IoT data recovery in environmental monitoring systems

I Izonin, R Tkachenko, I Krak, O Berezsky… - Frontiers in …, 2023 - frontiersin.org
In recent years, more and more applied industries have relied on data collection by IoT
devices. Various IoT devices generate vast volumes of data that require efficient processing …

[PDF][PDF] Artificial intelligence for application in water engineering: The use of ANN to determine water quality index in rivers

R Ismail, A Rawashdeh, H Al-Mattarneh… - Civil Engineering …, 2024 - core.ac.uk
To improve water quality, total daily loads must be established, and this requires
determining the quality of the water in rivers, storage tanks, ponds, and coastal areas …

An innovative approach for quality assessment and its contamination on surface water for drinking purpose in Mahanadi River Basin, Odisha of India, with the …

A Das - Applied Water Science, 2024 - Springer
Water is essential for life, as it supports bodily functions, nourishes crops, and maintains
ecosystems. Drinking water is crucial for maintaining good health and can also contribute to …

[HTML][HTML] Evaluation of groundwater quality and health risk assessment in Dawen River Basin, North China

S Wei, Y Zhang, Z Cai, D Bi, H Wei, X Zheng… - Environmental …, 2025 - Elsevier
Groundwater is the principal water source of drinking and irrigation in the Dawen River
Basin of Shandong Province. Thus, its investigations and evaluations are of significant …

Rice Leaf Disease Classification with Machine Learning: An Approach Using Nu-SVM

R Setiawan, H Zein, RA Azdy… - Indonesian Journal of …, 2023 - jurnal.yoctobrain.org
This study explores the application of machine learning for classifying rice leaf diseases,
employing the Nu-Support Vector Machine (Nu-SVM) algorithm, analyzed through a 5-fold …

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 resources in coastal areas is vital for human needs, agriculture,
ecosystems, securing water supply, biodiversity, and environmental sustainability. Although …