Kinetics, mechanism, isotherms, and design analysis on the removal of toxic dye from water using surface-modified agro-waste biomass DOI
B. Senthil Rathi,

Shalabh Kumar,

P. Senthil Kumar

et al.

Biomass Conversion and Biorefinery, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 11, 2024

Language: Английский

An overview on the key advantages and limitations of batch and dynamic modes of biosorption of metal ions DOI
Masamvu Malbenia John, Asmaa Benettayeb,

M. Belkacem

et al.

Chemosphere, Journal Year: 2024, Volume and Issue: 357, P. 142051 - 142051

Published: April 21, 2024

Language: Английский

Citations

19

Mechanism and Application of Bacterial Exopolysaccharides: An Advanced Approach for Sustainable Heavy Metal Abolition from Soil DOI
Ankita Ghosh, Diksha Sah,

Moumita Chakraborty

et al.

Carbohydrate Research, Journal Year: 2024, Volume and Issue: 544, P. 109247 - 109247

Published: Aug. 22, 2024

Language: Английский

Citations

5

Enhancing membrane fouling control in wastewater treatment processes through artificial intelligence modeling: research progress and future perspectives DOI Creative Commons
Stefano Cairone, Shadi W. Hasan, Kwang‐Ho Choo

et al.

Euro-Mediterranean Journal for Environmental Integration, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 3, 2024

Abstract Membrane filtration processes have demonstrated remarkable effectiveness in wastewater treatment, achieving high contaminant removal and producing high-quality effluent suitable for safe reuse. technologies play a primary role combating water scarcity pollution challenges. However, the need more effective strategies to mitigate membrane fouling remains critical concern. Artificial intelligence (AI) modeling offers promising solution by enabling accurate predictions of fouling, thus supporting advanced mitigation strategies. This review examines recent progress application AI models, with particular focus on artificial neural networks (ANNs), simulating treatment processes. It highlights substantial potential ANNs, particularly widely studied multi-layer perceptron (MLP) other emerging configurations, accurately predict thereby enhancing process optimization efforts. The discusses both benefits current limitations AI-based strategies, analyzing studies offer valuable insights designing ANNs capable providing predictions. Specifically, it provides guidance selecting appropriate model architectures, input/output variables, activation functions, training algorithms. Finally, this connect research findings practical applications full-scale plants. Key steps crucial address challenge been identified, emphasizing revolutionize control drive paradigm shift toward efficient sustainable membrane-based treatment.

Language: Английский

Citations

3

Biosynthesis of ZnO NPs and ZnO$$\Vert $$CuO NC using Retama monosperma L. (Boiss) stems extract and their cationic dyes removal from wastewater under direct sunlight irradiation DOI
Soufiane Soltani, Amel Gacem

Biomass Conversion and Biorefinery, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 29, 2025

Language: Английский

Citations

0

Strain effect on TaSe2/Te2 monolayer as adsorption substrate in lithium–sulfur battery DOI
Shanling Ren, Song Chen, Xin Huang

et al.

Journal of Solid State Chemistry, Journal Year: 2024, Volume and Issue: 339, P. 124897 - 124897

Published: July 19, 2024

Language: Английский

Citations

1

Ni-MoTe2 as a gas-sensitive material for sevoflurane exposure detection: a fluorinated anesthetic agent DOI

Kaixin Wang,

Shiwen Fan,

Benli Liu

et al.

Materials Today Communications, Journal Year: 2024, Volume and Issue: 40, P. 110092 - 110092

Published: Aug. 1, 2024

Language: Английский

Citations

1

Removal Technology and Mechanism of Arsenic From Wastewater by Zeolite Imidazole Framework-8@Carbon Nanodots DOI

Shuyan Zang,

Yingying Li, Meiheng Lv

et al.

Water Air & Soil Pollution, Journal Year: 2024, Volume and Issue: 235(10)

Published: Aug. 18, 2024

Language: Английский

Citations

0

Assessing the suitability of agro-waste consortium in greywater treatment: A sustainable strategic exploration DOI Creative Commons

R. Shiam Babu,

K. Prasanna,

P. Senthil Kumar

et al.

Desalination and Water Treatment, Journal Year: 2024, Volume and Issue: 321, P. 100896 - 100896

Published: Nov. 8, 2024

Language: Английский

Citations

0

Kinetics, mechanism, isotherms, and design analysis on the removal of toxic dye from water using surface-modified agro-waste biomass DOI
B. Senthil Rathi,

Shalabh Kumar,

P. Senthil Kumar

et al.

Biomass Conversion and Biorefinery, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 11, 2024

Language: Английский

Citations

0