A survey on river water quality modelling using artificial intelligence models: 2000–2020

TM Tung, ZM Yaseen - Journal of Hydrology, 2020 - Elsevier
There has been an unsettling rise in the river contamination due to the climate change and
anthropogenic activities. Last decades' research has immensely focussed on river basin …

[HTML][HTML] A review of hybrid soft computing and data pre-processing techniques to forecast freshwater quality's parameters: Current trends and future directions

ZS Khudhair, SL Zubaidi, S Ortega-Martorell… - Environments, 2022 - mdpi.com
Water quality has a significant influence on human health. As a result, water quality
parameter modelling is one of the most challenging problems in the water sector. Therefore …

Implementation of hybrid neuro-fuzzy and self-turning predictive model for the prediction of concrete carbonation depth: A soft computing technique

SI Malami, FH Anwar, S Abdulrahman, SI Haruna… - Results in …, 2021 - Elsevier
Carbonation is one of the critical problems that affects the durability of reinforced concrete; it
is a reaction between CO 2 gas and Ca (OH) 2 when H 2 O is available, which forms …

Emerging evolutionary algorithm integrated with kernel principal component analysis for modeling the performance of a water treatment plant

SI Abba, QB Pham, AG Usman, NTT Linh… - Journal of Water …, 2020 - Elsevier
Providing a robust and reliable model is essential for hydro-environmental and public health
engineering perspectives, including water treatment plants (WTPs). The current research …

Predicting wastewater treatment plant quality parameters using a novel hybrid linear-nonlinear methodology

K Lotfi, H Bonakdari, I Ebtehaj, FS Mjalli… - Journal of environmental …, 2019 - Elsevier
Biochemical oxygen demand (BOD), chemical oxygen demand (COD), total dissolved solids
(TDS) and total suspended solids (TSS) are the most commonly regulated wastewater …

Modelling biochemical oxygen demand in a large inland aquaculture zone of India: Implications and insights

TV Nagaraju, GS Bala, S Bonthu, S Mantena - Science of The Total …, 2024 - Elsevier
Water quality surveillance is tough, and a specific timely management is necessary for the
inland aquaculture ponds and ecology as well. Real time quality monitoring involves the …

Water quality prediction of copper-molybdenum mining-beneficiation wastewater based on the PSO-SVR model

X Fu, Q Zheng, G Jiang, K Roy, L Huang, C Liu… - … Science & Engineering, 2023 - Springer
The mining-beneficiation wastewater treatment is highly complex and nonlinear. Various
factors like influent quality, flow rate, pH and chemical dose, tend to restrict the effluent …

A novel multi-model data-driven ensemble technique for the prediction of retention factor in HPLC method development

AG Usman, S Işik, SI Abba - Chromatographia, 2020 - Springer
Reliable simulation of retention factor (k) is crucial in high-performance liquid
chromatography (HPLC) method development. In this research, three different Artificial …

Assessing the biochemical oxygen demand using neural networks and ensemble tree approaches in South Korea

S Kim, M Alizamir, M Zounemat-Kermani, O Kisi… - Journal of …, 2020 - Elsevier
The biochemical oxygen demand (BOD), one of widely utilized variables for water quality
assessment, is metric for the ecological division in rivers. Since the traditional approach to …

Remotely sensed estimates of long-term biochemical oxygen demand over Hong Kong marine waters using machine learning enhanced by imbalanced label …

Y Zhou, B He, X Cao, Y **ao, Q Feng, F Yang… - Science of The Total …, 2024 - Elsevier
In many coastal cities around the world, continuing water degradation threatens the living
environment of humans and aquatic organisms. To assess and control the water pollution …