Water and wastewater quality prediction: current trends and challenges in the implementation of artificial neural network
Traditional freshwater supplies have been over-abstracted in the current global problem of
water scarcity. Through the analysis of complex experimental and real-time data, to improve …
water scarcity. Through the analysis of complex experimental and real-time data, to improve …
Advancement of nanotechnologies in biogas production and contaminant removal: A review
The challenges of managing fossil fuels, the continued emission of greenhouse gases into
the atmosphere, and the global water crisis are increasingly drawing researchers' attention …
the atmosphere, and the global water crisis are increasingly drawing researchers' attention …
Forecasting effluent and performance of wastewater treatment plant using different machine learning techniques
M El-Rawy, MK Abd-Ellah, H Fathi… - Journal of Water Process …, 2021 - Elsevier
Expectation of wastewater quality in wastewater treatment plants (WWTPs) is significant and
can decrease the sampling number, cost, decision time, and energy. This paper presents …
can decrease the sampling number, cost, decision time, and energy. This paper presents …
The potential of new ensemble machine learning models for effluent quality parameters prediction and related uncertainty
A Sharafati, SBHS Asadollah… - Process Safety and …, 2020 - Elsevier
Accurate simulation of wastewater effluent parameters is a vital concern to reduce the
operational costs of a wastewater treatment plant. In this way, a reliable predictive model is a …
operational costs of a wastewater treatment plant. In this way, a reliable predictive model is a …
Evolutionary computational intelligence algorithm coupled with self-tuning predictive model for water quality index determination
Anthropogenic activities affect the water bodies and result in a drastic reduction of river
water quality (WQ). The development of a reliable intelligent model for evaluating the …
water quality (WQ). The development of a reliable intelligent model for evaluating the …
Simulating a combined lysis-cryptic and biological nitrogen removal system treating domestic wastewater at low C/N ratios using artificial neural network
SS Yang, XL Yu, MQ Ding, L He, GL Cao, L Zhao… - Water research, 2021 - Elsevier
In this study, a combined alkaline (ALK) and ultrasonication (ULS) sludge lysis-cryptic
pretreatment and anoxic/oxic (AO) system (AO+ ALK/ULS) was developed to enhance …
pretreatment and anoxic/oxic (AO) system (AO+ ALK/ULS) was developed to enhance …
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 …
[HTML][HTML] Optimization of effluents using artificial neural network and support vector regression in detergent industrial wastewater treatment
The freshwater is a challenge as the world's population grows. The largest sources of water
in this planet are brackish water and sea water. So, water purification process is very …
in this planet are brackish water and sea water. So, water purification process is very …
[PDF][PDF] Estimation of water quality index using artificial intelligence approaches and multi-linear regression
Water quality index is a measure of water quality at a certain location and over a period of
time. High value indicates that the water is unsafe for drinking and inadequate in quality to …
time. High value indicates that the water is unsafe for drinking and inadequate in quality to …
Integrating feature extraction approaches with hybrid emotional neural networks for water quality index modeling
The establishment of water quality prediction models is vital for aquatic ecosystems analysis.
The traditional methods of water quality index (WQI) analysis are time-consuming and …
The traditional methods of water quality index (WQI) analysis are time-consuming and …