Combined advanced oxidation dye-wastewater treatment plant: design and development with data-driven predictive performance modeling

PS Chauhan, K Singh, A Choudhary, U Brighu… - npj Clean Water, 2024 - nature.com
The recalcitrant nature of the industrial dyes poses a significant challenge to existing
treatment technologies due to the stringent environmental regulations. This combined with …

Education 4.0: teaching the basics of KNN, LDA and simple perceptron algorithms for binary classification problems

D Lopez-Bernal, D Balderas, P Ponce, A Molina - Future Internet, 2021 - mdpi.com
One of the main focuses of Education 4.0 is to provide students with knowledge on
disruptive technologies, such as Machine Learning (ML), as well as the skills to implement …

Cross-linked laminar graphene oxide membranes for wastewater treatment and desalination: A review

RP Pandey, P Kallem, HM Hegab, PA Rasheed… - Journal of …, 2022 - Elsevier
Abstract Two-dimensional (2D) lamellar graphene oxide (GO) membranes are emerging as
attractive materials for molecular separation in water treatment because of their single …

Artificial neural network based models for predicting the effluent quality of a combined upflow anaerobic sludge blanket and facultative pond: Performance evaluation …

N Khatri, AK Vyas, ASH Abdul-Qawy, ER Rene - Environmental Research, 2023 - Elsevier
The main objective of this work was to test different artificial neural network (ANN) based
models, ie the ANN feed forward back propagation (ANN-FFBP), deep feed forward …

Water and wastewater quality prediction: current trends and challenges in the implementation of artificial neural network

AR Jadhav, PD Pathak, RY Raut - Environmental Monitoring and …, 2023 - Springer
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 …

Emerging technological solutions for the management of paper mill wastewater: treatment, nutrient recovery and fourth industrial revolution (IR 4.0)

R Kumar, A Maurya, A Raj - Journal of Water Process Engineering, 2023 - Elsevier
At present, the increasing consumption of natural sources and rapid urbanization has
exceeded the demand for fresh water which is a matter of serious concern. Paper mill …

[HTML][HTML] Enhanced photo-degradation of N-methyl-2-pyrrolidone (NMP): Influence of matrix components, kinetic study and artificial neural network modelling

P Kumar, S Verma, R Kaur, J Papac, H Kušić… - Journal of hazardous …, 2022 - Elsevier
This study investigates the degradation of N-methyl-2-pyrrolidone (NMP) by UV-C and UV-
C/PMS-treatment processes. The degradation of NMP was less than 2% by UV-C photolysis …

Artificial intelligence based Smart Waste Management—a systematic review

NJ Sinthiya, TA Chowdhury, AKMB Haque - … Intelligence Techniques for …, 2022 - Springer
Smart waste management is an approach that utilizes modern technology to manage waste
materials in effective, efficient, and economical way. Artificial intelligence offers various …

Sustainable wastewater reuse for agriculture

A Christou, VG Beretsou, IC Iakovides… - Nature Reviews Earth & …, 2024 - nature.com
Effective management of water resources is crucial for global food security and sustainable
development. In this Review, we explore the potential benefits and challenges associated …

Simultaneous measurement of chemical oxygen demand and turbidity in water based on broad optical spectra using backpropagation neural network

C Zhou, J Zhang - Chemometrics and Intelligent Laboratory Systems, 2023 - Elsevier
How to overcome the measurement interference between chemical oxygen demand (COD)
and turbidity in absorption spectra of water has attracted lots of attention recently. Previous …