Optimal design and modelling of sustainable bio-catalytic enzyme for wastewater treatment using response surface methodology and artificial neural network-Reference-Cited by-同舟云学术

Optimal design and modelling of sustainable bio-catalytic enzyme for wastewater treatment using response surface methodology and artificial neural network

Published:2024-04-03 Issue:1 Volume:46 Page:5254-5273
ISSN:1556-7036
Container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
language:en
Short-container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects

Author:

Rizal Reda¹,Wahyuni Fitri²,Julian James²,Nasruddin ³^ORCID,Yulia Fayza⁴^ORCID

Affiliation:

1. Department of Industrial Engineering, Universitas Pembangunan Nasional Veteran Jakarta, Jakarta, Indonesia

2. Department of Mechanical Engineering, Universitas Pembangunan Nasional Veteran Jakarta, Jakarta, Indonesia

3. Department of Mechanical Engineering, Faculty of Engineering, University of Indonesia, Depok, Indonesia

4. Department of Mechanical Engineering, Faculty of Industrial Technology, Universitas Pertamina, South Jakarta, Indonesia

Funder

Kementerian Riset Teknologi Dan Pendidikan Tinggi Republik Indonesia

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15567036.2024.2332468

Reference35 articles.

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3. Application of artificial neural network (ANN-MLP) for the prediction of fouling resistance in heat exchanger to MgO-water and CuO-water nanofluids

4. Thermal analysis during turning of AZ31 magnesium alloy under dry and cryogenic conditions

5. Roles and applications of enzymes for resistant pollutants removal in wastewater treatment