Performance prediction of trace metals and cod in wastewater treatment using artificial neural network

The Fourth-Revolution in the Water Sector Encounters the Digital Revolution

(2020) Manel Garrido-Baserba et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Application of artificial neural networks to predict the heavy metal contamination in the Bartin River

(2020) Handan Ucun Ozel et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Developing successful environmental decision support systems: Challenges and best practices

(2020) Eric Walling et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Intelligent System for the Predictive Analysis of an Industrial Wastewater Treatment Process

(2020) Luis Arismendy et al.   Sustainability

Performance prediction modeling of andesite processing wastewater physicochemical treatment via artificial neural network

(2020) Esra Yel et al.   Arabian Journal of Geosciences

A critical review of the data pipeline: how wastewater system operation flows from data to intelligence

(2020) Jean-David Therrien et al.   WATER SCIENCE AND TECHNOLOGY

Modeling of a full-scale sewage treatment plant to predict the nutrient removal efficiency using a long short-term memory (LSTM) neural network

(2020) Muhammad Yaqub et al.   Journal of Water Process Engineering

Hybrid artificial neural network and cooperation search algorithm for nonlinear river flow time series forecasting in humid and semi-humid regions

(2020) Zhong-kai Feng et al.   KNOWLEDGE-BASED SYSTEMS

Development of an ensemble of machine learning algorithms to model aerobic granular sludge reactors

(2020) Mohamed Sherif Zaghloul et al.   WATER RESEARCH

Simulating a combined lysis-cryptic and biological nitrogen removal system treating domestic wastewater at low C/N ratios using artificial neural network

(2020) Shan-Shan Yang et al.   WATER RESEARCH

Hybrid physics‐based and data‐driven modeling for bioprocess online simulation and optimization

(2019) Dongda Zhang et al.   BIOTECHNOLOGY AND BIOENGINEERING

Meta-modeling based efficient global sensitivity analysis for wastewater treatment plants – An application to the BSM2 model

(2019) Resul Al et al.   COMPUTERS & CHEMICAL ENGINEERING

A data-driven model for real-time water quality prediction and early warning by an integration method

(2019) Tao Jin et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Tackle environmental challenges in pollution controls using artificial intelligence: A review

(2019) Zhiping Ye et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Application of artificial intelligence to wastewater treatment: A bibliometric analysis and systematic review of technology, economy, management, and wastewater reuse

(2019) Lin Zhao et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Modelling the chlorophenol removal from wastewater via reverse osmosis process using a multilayer artificial neural network with genetic algorithm

(2019) Abdulrahman Th. Mohammad et al.   Journal of Water Process Engineering

Data-driven Soft-sensors for Online Monitoring of Batch Processes with Different Initial Conditions

(2018) Ahmed Shokry et al.   COMPUTERS & CHEMICAL ENGINEERING

A simplified method to predict fatigue damage of TTR subjected to short-term VIV using artificial neural network

(2018) Eileen Wee Chin Wong et al.   ADVANCES IN ENGINEERING SOFTWARE

An unsupervised artificial neural network versus a rule-based approach for fault detection and identification in an automated assembly machine

(2017) Heshan Fernando et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Predictive control of an activated sludge process for long term operation

(2016) Chiara Foscoliano et al.   CHEMICAL ENGINEERING JOURNAL

Soft-sensing estimation of plant effluent concentrations in a biological wastewater treatment plant using an optimal neural network

(2016) J. Fernandez de Canete et al.   EXPERT SYSTEMS WITH APPLICATIONS

Adsorptive removal of nickel(II) ions from aqueous environment: A review

(2016) Nirav P. Raval et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Modeling and optimization of activated sludge bulking for a real wastewater treatment plant using hybrid artificial neural networks-genetic algorithm approach

(2015) Majid Bagheri et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Partial imputation of unseen records to improve classification using a hybrid multi-layered artificial immune system and genetic algorithm

(2013) Mlungisi Duma et al.   APPLIED SOFT COMPUTING

Minimizing pump energy in a wastewater processing plant

(2012) Zijun Zhang et al.   ENERGY

A simulation-based integrated approach to optimize the biological nutrient removal process in a full-scale wastewater treatment plant

(2011) Fang Fang et al.   CHEMICAL ENGINEERING JOURNAL

An ANN application for water quality forecasting

(2008) Sundarambal Palani et al.   MARINE POLLUTION BULLETIN