Artificial intelligence as an upcoming technology in wastewater treatment: a comprehensive review

A Malviya, D Jaspal - Environmental Technology Reviews, 2021 - Taylor & Francis
Artificial intelligence (AI) is nowadays an upcoming technology. It is a practice of simulating
human intelligence for varied applications. When compared with the standard practices, AI is …

Ensemble models with uncertainty analysis for multi-day ahead forecasting of chlorophyll a concentration in coastal waters

S Shamshirband, E Jafari Nodoushan… - Engineering …, 2019 - Taylor & Francis
In this study, ensemble models using the Bates–Granger approach and least square method
are developed to combine forecasts of multi-wavelet artificial neural network (ANN) models …

A novel model for water quality prediction caused by non-point sources pollution based on deep learning and feature extraction methods

H Wan, R Xu, M Zhang, Y Cai, J Li, X Shen - Journal of Hydrology, 2022 - Elsevier
Non-point source (NPS) pollution is an important factor affecting the quality of water
environment. In recent years, a large number of online water quality monitoring stations …

Development of wavelet-ANN models to predict water quality parameters in Hilo Bay, Pacific Ocean

MJ Alizadeh, MR Kavianpour - Marine pollution bulletin, 2015 - Elsevier
The main objective of this study is to apply artificial neural network (ANN) and wavelet-
neural network (WNN) models for predicting a variety of ocean water quality parameters. In …

An evaluation of existent methods for estimation of embankment dam breach parameters

SS Sammen, TA Mohamed, AH Ghazali, LM Sidek… - Natural Hazards, 2017 - Springer
The study of dam-break analysis is considered important to predict the peak discharge
during dam failure. This is essential to assess economic, social and environmental impacts …

Short-term forecasting of groundwater levels under conditions of mine-tailings recharge using wavelet ensemble neural network models

K Bahaa, B Stefan, A Jan, B Ozga-Zieliński… - Hydrogeology …, 2015 - repo.pw.edu.pl
Several groundwater-level forecasting studies have shown that data-driven models are
simpler, faster to develop, and provide more accurate and precise results than physical or …

Development of a method for comprehensive water quality forecasting and its application in Miyun reservoir of Beijing, China

L Zhang, Z Zou, W Shan - Journal of Environmental Sciences, 2017 - Elsevier
Water quality forecasting is an essential part of water resource management. Spatiotemporal
variations of water quality and their inherent constraints make it very complex. This study …

Predictive Models Using Supervised Neural Network for Pollutant Removal Efficiency in Petrochemical Wastewater Treatment

VG Mohan, AFM Ali, MA Ameedeen… - … on Information and …, 2022 - ieeexplore.ieee.org
The important process in wastewater treatment is the removal of pollutants, and the dataset
having so many features may cause difficulty training the data and predicting key variables …

Rheological wall slip velocity prediction model based on artificial neural network

RJ Chin, SH Lai, S Ibrahim… - … of Experimental & …, 2019 - Taylor & Francis
Wall slip is a phenomenon in which particles migrate from solid boundaries, leaving a thin
liquid rich layer adjacent to a wall, which can affect the measurement of the rheological …

Managing data, information, and technology in cyber physical systems: Public safety as a service and its systems

M Drăgoicea, M Léonard, SN Ciolofan… - IEEE Access, 2019 - ieeexplore.ieee.org
This paper introduces a unified representation for collaborative development of complex
services in public safety to explain the infusion of digital technologies into the design of the …