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A survey on river water quality modelling using artificial intelligence models: 2000–2020
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 …
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
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 …
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
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 …
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
Providing a robust and reliable model is essential for hydro-environmental and public health
engineering perspectives, including water treatment plants (WTPs). The current research …
engineering perspectives, including water treatment plants (WTPs). The current research …
Predicting wastewater treatment plant quality parameters using a novel hybrid linear-nonlinear methodology
Biochemical oxygen demand (BOD), chemical oxygen demand (COD), total dissolved solids
(TDS) and total suspended solids (TSS) are the most commonly regulated wastewater …
(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
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 …
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
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 …
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
Reliable simulation of retention factor (k) is crucial in high-performance liquid
chromatography (HPLC) method development. In this research, three different Artificial …
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
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 …
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 …
environment of humans and aquatic organisms. To assess and control the water pollution …