[HTML][HTML] Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013–2023)

S Seoni, V Jahmunah, M Salvi, PD Barua… - Computers in Biology …, 2023 - Elsevier
Uncertainty estimation in healthcare involves quantifying and understanding the inherent
uncertainty or variability associated with medical predictions, diagnoses, and treatment …

Drinking water quality monitoring, assessment and management in Pakistan: A review

S Perveen - Heliyon, 2023 - cell.com
In this review, the importance of a robust frame work for drinking water quality monitoring,
assessment and management has been discussed. This review presents the global …

[HTML][HTML] Performance analysis of the water quality index model for predicting water state using machine learning techniques

MG Uddin, S Nash, A Rahman, AI Olbert - Process Safety and …, 2023 - Elsevier
Existing water quality index (WQI) models assess water quality using a range of
classification schemes. Consequently, different methods provide a number of interpretations …

[HTML][HTML] Assessing optimization techniques for improving water quality model

MG Uddin, S Nash, A Rahman, AI Olbert - Journal of Cleaner Production, 2023 - Elsevier
In order to keep the" good" status of coastal water quality, it is essential to monitor and
assess frequently. The Water quality index (WQI) model is one of the most widely used …

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 …

[HTML][HTML] A sophisticated model for rating water quality

MG Uddin, S Nash, A Rahman, AI Olbert - Science of the Total Environment, 2023 - Elsevier
Here, we present the Irish Water Quality Index (IEWQI) model for assessing transitional and
coastal water quality in an effort to improve the method and develop a tool that can be used …

Optimization of water quality index models using machine learning approaches

F Ding, W Zhang, S Cao, S Hao, L Chen, X **e, W Li… - Water Research, 2023 - Elsevier
To optimize the water quality index (WQI) assessment model, this study upgraded the
parameter weight values and aggregation functions. We determined the combined weights …

[HTML][HTML] Assessing and forecasting water quality in the Danube River by using neural network approaches

PL Georgescu, S Moldovanu, C Iticescu… - Science of the Total …, 2023 - Elsevier
The health and quality of the Danube River ecosystems is strongly affected by the nutrients
loads (N and P), degree of contamination with hazardous substances or with oxygen …

[HTML][HTML] Assessing the impact of COVID-19 lockdown on surface water quality in Ireland using advanced Irish water quality index (IEWQI) model

MG Uddin, MTM Diganta, AM Sajib, A Rahman… - Environmental …, 2023 - Elsevier
The COVID-19 pandemic has significantly impacted various aspects of life, including
environmental conditions. Surface water quality (WQ) is one area affected by lockdowns …

A hybrid ensemble-based automated deep learning approach to generate 3D geo-models and uncertainty analysis

A Abbaszadeh Shahri, S Chunling… - Engineering with …, 2024 - Springer
There is an increasing interest in creating high-resolution 3D subsurface geo-models using
multisource retrieved data, ie, borehole, geophysical techniques, geological maps, and rock …