Mycoremediation of wastewater, challenges, and current status: A review

BB Negi, C Das - Bioresource Technology Reports, 2023 - Elsevier
Bioremediation is a sustainable and cost-effective wastewater treatment method. Bacteria
dominate biological wastewater treatment systems, although fungi are seldom used. Fungi …

Optimization of operational parameters using RSM, ANN, and SVM in membrane integrated with rotating biological contactor

S Waqas, NY Harun, U Arshad, AM Laziz, SLS Mun… - Chemosphere, 2024 - Elsevier
Membrane fouling is a critical bottleneck to the widespread adoption of membrane
separation processes. It diminishes the membrane permeability and results in high …

Artificial intelligence and machine learning for the optimization of pharmaceutical wastewater treatment systems: a review

V Ganthavee, AP Trzcinski - Environmental Chemistry Letters, 2024 - Springer
The access to clean and drinkable water is becoming one of the major health issues
because most natural waters are now polluted in the context of rapid industrialization and …

Conditions optimization and mechanistic study of chlortetracycline hydrochloride adsorption by TBAOH-MXene: Prediction results based on backpropagation neural …

M Lu, S Fang, Y Zhang, H Zheng, H **e, C Zhou… - Process Safety and …, 2024 - Elsevier
MXene is extensively utilized in environmental remediation owing to its attributes of
hydrophobicity and high specific surface area. Herein, backpropagation neural network …

AI-based modeling studies for dye removal using mixed biomass composites from algae and plant seeds: Isotherm, kinetics, and mechanistic insights

S Karishma, VC Deivayanai, P Thamarai… - Journal of Water …, 2024 - Elsevier
Biomass based remediation have emerged as a promising solution for the economic and
sustainable pollutant removal from environment. In this study, novel mixed biomass derived …

Exploring nutrient removal mechanisms in column-type SBR with simultaneous nitrification and denitrification

NA Khan, S Singh, PC Ramamurthy… - Journal of Environmental …, 2024 - Elsevier
A comprehensive investigation utilized a column-type sequencing batch reactor (SBR) to
efficiently remove nutrients throughout various phases of its operational cycle by forming …

Optimizing managed artificial recharge backwash using a Multi-objective Particle Swarm Optimization coupled with a clogging simulation model

T Zhang, Q Zhu, Z Wen - Computers & Geosciences, 2025 - Elsevier
Artificial recharge (AR) plays an important role in the management of groundwater resources
and the mitigation of hydrogeological problems. However, challenges related to clogging …

Assessment of Solubility Behavior of a Copolymer in Supercritical CO2 and Organic Solvents: Neural Network Prediction and Statistical Analysis

D Baskaran, US Behera, HS Byun - ACS omega, 2024 - ACS Publications
In the industrial sector, understanding the behavior of block copolymers in supercritical
solvents is crucial. While qualitative agreement with polymer solubility curves has been …

[HTML][HTML] Development and optimization of a neural network model using genetic algorithm to predict the performance of a packed bed reactor treating sulphate-rich …

M Kumar, R Saraf, SK Behera, R Das, M Aliveli… - Case Studies in …, 2024 - Elsevier
The performance of a packed bed reactor (PBR) containing immobilized sulphate reducing
bacteria for sulphate removal from wastewater, utilizing carbon monoxide (CO) as the sole …

Optimization of Operational Parameters Using Artificial Neural Network and Support Vector Machine for Bio-oil Extracted from Rice Husk

A Ahmed, N Yub Harun, S Waqas, U Arshad… - ACS …, 2024 - ACS Publications
Bio-oil production from rice husk, an abundant agricultural residue, has gained significant
attention as a sustainable and renewable energy source. The current research aims to …