Calculation of carbon emissions in wastewater treatment and its neutralization measures: A review
As the pursuit of “carbon neutrality” gains momentum, the emphasis on low-carbon
solutions, emphasizing energy conservation and resource reuse, has introduced fresh …
solutions, emphasizing energy conservation and resource reuse, has introduced fresh …
Recent advances of algae-bacteria consortia in aquatic remediation
Algae-bacteria consortia treatment has been found to be a promising method for the
remediation of aqueous systems. Given the scope of previous reviews on algae-bacteria …
remediation of aqueous systems. Given the scope of previous reviews on algae-bacteria …
River water quality index prediction and uncertainty analysis: A comparative study of machine learning models
Abstract The Water Quality Index (WQI) is the most common indicator to characterize surface
water quality. This study introduces a new ensemble machine learning model called Extra …
water quality. This study introduces a new ensemble machine learning model called Extra …
Data to intelligence: The role of data-driven models in wastewater treatment
Increasing energy efficiency in wastewater treatment plants (WWTPs) is becoming more
important. An emerging approach to addressing this issue is to exploit development in data …
important. An emerging approach to addressing this issue is to exploit development in data …
Review on machine learning-based bioprocess optimization, monitoring, and control systems
Abstract Machine Learning is quickly becoming an impending game changer for
transforming big data thrust from the bioprocessing industry into actionable output. However …
transforming big data thrust from the bioprocessing industry into actionable output. However …
Hydrogeochemical evaluation of groundwater aquifers and associated health hazard risk map** using ensemble data driven model in a water scares plateau region …
Health hazard risk map** (HHRM) is an important technique used to estimate the potential
health risk of an individual, a group, or an entire community of a region. To further progress …
health risk of an individual, a group, or an entire community of a region. To further progress …
Fractionation of dyes/salts using loose nanofiltration membranes: Insight from machine learning prediction
Wastewater (WW) served as the crucial indicator for sustainable development, human
health, and the ecosystem. Nanofiltration (NF) membranes are efficient in contaminants, dye …
health, and the ecosystem. Nanofiltration (NF) membranes are efficient in contaminants, dye …
Evapotranspiration evaluation models based on machine learning algorithms—A comparative study
F Granata - Agricultural Water Management, 2019 - Elsevier
The constant need to increase agricultural production, together with the more and more
frequent drought events in many areas of the world, requires a more careful assessment of …
frequent drought events in many areas of the world, requires a more careful assessment of …
Multi-step ahead modelling of river water quality parameters using ensemble artificial intelligence-based approach
In this study, three single Artificial Intelligence (AI) based models ie, Back Propagation
Neural Network (BPNN), Adaptive Neuro Fuzzy Inference System (ANFIS), Support Vector …
Neural Network (BPNN), Adaptive Neuro Fuzzy Inference System (ANFIS), Support Vector …
Uncertainty quantification of granular computing-neural network model for prediction of pollutant longitudinal dispersion coefficient in aquatic streams
Discharge of pollution loads into natural water systems remains a global challenge that
threatens water and food supply, as well as endangering ecosystem services. Natural …
threatens water and food supply, as well as endangering ecosystem services. Natural …