Development of supervised machine learning model for prediction of TEG regeneration performance in natural gas dehydration
Author:
Publisher
Springer Science and Business Media LLC
Subject
Materials Chemistry,Industrial and Manufacturing Engineering,General Chemical Engineering,Biochemistry,General Chemistry
Link
https://link.springer.com/content/pdf/10.1007/s11696-023-03113-7.pdf
Reference35 articles.
1. Ahmadi MA, Lee M, Bahadori A (2015) Prediction of a solid desiccant dehydrator performance using least squares support vector machines algorithm. J Taiwan Inst Chem Eng 50:115–122
2. Alara OR, Abdurahman NH, Ali HA (2023) Optimization of microwave-enhanced extraction parameters to recover phenolic compounds and antioxidants from Corchorus olitorius leaves. Chem Pap 77:4217–4233
3. Alnoush W, Castier M (2019) Shortcut modeling of natural gas supersonic separation. J Nat Gas Sci Eng 65:284–300
4. Arya AK, Jain R, Yadav S, Bisht S, Gautam S (2022) Recent trends in gas pipeline optimization. Mater Today Proc 57:1455–1461
5. Aslanzadeh F, Konoz E, Niazi A, Bakhsh AF, Ezabadi A (2023) Simple and rapid synthesis of magnetic kiwifruit for the removal of sitagliptin and fampridine residues from aqueous media using HPLC method: optimization via central composite experimental design. Chem Pap 77:5097–5114
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