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 …
Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model
Water quality monitoring is an important component of water resources management. In
order to predict two water quality variables, namely dissolved oxygen (DO; mg/L) and …
order to predict two water quality variables, namely dissolved oxygen (DO; mg/L) and …
[HTML][HTML] Water quality prediction and classification based on principal component regression and gradient boosting classifier approach
Estimating water quality has been one of the significant challenges faced by the world in
recent decades. This paper presents a water quality prediction model utilizing the principal …
recent decades. This paper presents a water quality prediction model utilizing the principal …
Water treatment and artificial intelligence techniques: a systematic literature review research
As clean water can be considered among the essentials of human life, there is always a
requirement to seek its foremost and high quality. Water primarily becomes polluted due to …
requirement to seek its foremost and high quality. Water primarily becomes polluted due to …
Estimation of pressure drop of two-phase flow in horizontal long pipes using artificial neural networks
MS Shadloo, A Rahmat… - Journal of …, 2020 - asmedigitalcollection.asme.org
Gas–liquid two-phase flows through long pipelines are one of the most common cases
found in chemical, oil, and gas industries. In contrast to the gas/Newtonian liquid systems …
found in chemical, oil, and gas industries. In contrast to the gas/Newtonian liquid systems …
Prediction of viscosity of biodiesel blends using various artificial model and comparison with empirical correlations
Y Zheng, MS Shadloo, H Nasiri, A Maleki… - Renewable Energy, 2020 - Elsevier
From the perspective of renewability and environmental pollution, biodiesels are appropriate
alternatives to conventional diesel fuels due to their proper combustion behavior and …
alternatives to conventional diesel fuels due to their proper combustion behavior and …
A deep learning-enabled IoT framework for early hypoxia detection in aqua water using light weight spatially shared attention-LSTM network
PG Arepalli, KJ Naik - The journal of Supercomputing, 2024 - Springer
Dissolved oxygen (DO) is a critical factor in maintaining healthy aquatic ecosystems,
including aquaculture ponds. Low DO levels can lead to hypoxia conditions, which are …
including aquaculture ponds. Low DO levels can lead to hypoxia conditions, which are …
Intelligent soft computational models integrated for the prediction of potentially toxic elements and groundwater quality indicators: a case study
JC Agbasi, JC Egbueri - Journal of sedimentary environments, 2023 - Springer
Reports have shown that potentially toxic elements (PTEs) in air, water, and soil systems
expose humans to carcinogenic and non-carcinogenic health risks. In southeastern Nigeria …
expose humans to carcinogenic and non-carcinogenic health risks. In southeastern Nigeria …
[HTML][HTML] Water contamination analysis in IoT enabled aquaculture using deep learning based AODEGRU
PG Arepalli, KJ Naik - Ecological Informatics, 2024 - Elsevier
Water contamination presents a significant challenge in aquaculture, impacting the
sustainability of ecosystems and the health of aquatic organisms. Precisely assessing water …
sustainability of ecosystems and the health of aquatic organisms. Precisely assessing water …
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 …
parameter modelling is one of the most challenging problems in the water sector. Therefore …