Microalgae with artificial intelligence: A digitalized perspective on genetics, systems and products

SY Teng, GY Yew, K Sukačová, PL Show, V Máša… - Biotechnology …, 2020 - Elsevier
With recent advances in novel gene-editing tools such as RNAi, ZFNs, TALENs, and
CRISPR-Cas9, the possibility of altering microalgae toward designed properties for various …

Advances in microalgae-based carbon sequestration: Current status and future perspectives

RK Goswami, S Mehariya, P Verma - Environmental Research, 2024 - Elsevier
The advancement in carbon dioxide (CO 2) sequestration technology has received
significant attention due to the adverse effects of CO 2 on climate. The mitigation of the …

Artificial intelligence based ensemble modeling of wastewater treatment plant using jittered data

V Nourani, P Asghari, E Sharghi - Journal of Cleaner Production, 2021 - Elsevier
In this study, black box artificial intelligence models (AI) including feed forward neural
network (FFNN), support vector regression (SVR) and adaptive neuro-fuzzy inference …

Predictive modelling and optimization of an airlift bioreactor for selenite removal from wastewater using artificial neural networks and particle swarm optimization

BB Negi, M Aliveli, SK Behera, R Das, A Sinharoy… - Environmental …, 2023 - Elsevier
Abstract Selenite (Se 4+) is the most toxic of all the oxyanion forms of selenium. In this study,
a feed forward back propagation (BP) based artificial neural network (ANN) model was …

Study on spray characteristics of biodiesel alternative fuels for in-cylinder environment of diesel engine

Y Song, R Li, Y Qian, L Zhang, Z Wang, S Liu… - Journal of the Energy …, 2024 - Elsevier
This paper presents an experimental study of spray characterization of MD-NH (a blend of
methyl decanoate and n-heptane in a molar ratio of 1: 1 to characterize biodiesel) in an in …

Impact of differences in speciation of organic compounds in wastewater from large WWTPs on technological parameters, economic efficiency and modelling of …

J Struk-Sokołowska, S Miodoński… - Journal of …, 2020 - Elsevier
The aim of the study was to supplement the information missing in the literature on the
influence of organic compounds speciation (percentage of chemical oxygen demand (COD) …

Modelling selenite and chemical oxygen demand removal in an inverse fluidized bed bioreactor using genetic algorithm optimized artificial neural network

A Sinharoy, B Mahanty, SK Behera… - Journal of Chemical …, 2024 - Wiley Online Library
Abstract BACKGROUND A genetic algorithm (GA) optimized artificial neural network (ANN)
model was developed to simulate selenite removal efficiency (SRe) and chemical oxygen …

Artificial neural network approach towards the separation of ethylparaben and diclofenac using pseudo-emulsion hollow fiber strip dispersion technique

P Sarang, HP Kohli, AK Mungray… - Chemical Data Collections, 2022 - Elsevier
Pseudo-emulsion hollow fiber strip dispersion technique is known to be an effective way to
separate pollutants from industrial wastewater. In the present study, data driven model like …

The use of artificial neural networks for modeling color and chemical oxygen demand removal from olive mill wastewater using grape molasses soil

F Tufaner - Environmental Modeling & Assessment, 2022 - Springer
Olive mill wastewater (OMW) is classified as highly pollutant-containing wastewater that
must be treated to an acceptable level before being discharged into receiving water …

Modeling the degradation of polyamide-12 by biocompatible fuels using artificial neural networks

H Yazdani, S Samiei, HA Nasab… - Polymers and …, 2022 - journals.sagepub.com
In the first stage of this work, the degradation temperature of polyamide-12 was investigated
using biocompatible fuels as a reference with different temperatures by thermogravimetric …