Production Capacity Prediction and Optimization in the Glycerin Purification Process: A Simulation-Assisted Few-Shot Learning Approach Article Swipe

PDF

Tawesin Jitchaiyapoom , Chanin Panjapornpon , Santi Bardeeniz , M.A. Hussain ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.3390/pr12040661

Chemical process control relies on a tightly controlled, narrow range of margins for critical variables, ensuring process stability and safeguarding equipment from potential accidents. The availability of historical process data is limited to a specific setpoint of operation. This challenge raises issues for process monitoring in predicting and adjusting to deviations outside of the range of operational parameters. Therefore, this paper proposes simulation-assisted deep transfer learning for predicting and optimizing the final purity and production capacity of the glycerin purification process. The proposed network is trained by the simulation domain to generate a base feature extractor, which is then fine-tuned using few-shot learning techniques on the target learner to extend the working domain of the model beyond historical practice. The result shows that the proposed model improved prediction performance by 24.22% in predicting water content and 79.72% in glycerin prediction over the conventional deep learning model. Additionally, the implementation of the proposed model identified production and product quality improvements for enhancing the glycerin purification process.

Related Topics

Setpoint (Control System)

Process (Computing)

Computer Science

Machine Learning

Artificial Intelligence

Range (Aeronautics)

Production (Economics)

Engineering

Mathematics

Macroeconomics

Environmental Engineering

Economics

Aerospace Engineering

Mathematical Analysis

Concepts

Setpoint Process (computing) Computer science Process engineering Process modeling Stability (learning theory) Machine learning Artificial intelligence Domain (mathematical analysis) Range (aeronautics) Production (economics) Process optimization Engineering Mathematics Operating system Macroeconomics Environmental engineering Economics Aerospace engineering Mathematical analysis

Metadata

Type: article
Language: en
Landing Page: https://doi.org/10.3390/pr12040661
PDF: https://www.mdpi.com/2227-9717/12/4/661/pdf?version=1711460575
OA Status: gold
Cited By: 5
References: 33
Related Works: 10
OpenAlex ID: https://openalex.org/W4393187254

All OpenAlex metadata

Raw OpenAlex JSON

OpenAlex ID: https://openalex.org/W4393187254

Canonical identifier for this work in OpenAlex
DOI: https://doi.org/10.3390/pr12040661

Digital Object Identifier
Title: Production Capacity Prediction and Optimization in the Glycerin Purification Process: A Simulation-Assisted Few-Shot Learning Approach

Work title
Type: article

OpenAlex work type
Language: en

Primary language
Publication year: 2024

Year of publication
Publication date: 2024-03-26

Full publication date if available
Authors: Tawesin Jitchaiyapoom, Chanin Panjapornpon, Santi Bardeeniz, M.A. Hussain

List of authors in order
Landing page: https://doi.org/10.3390/pr12040661

Publisher landing page
PDF URL: https://www.mdpi.com/2227-9717/12/4/661/pdf?version=1711460575

Direct link to full text PDF
Open access: Yes

Whether a free full text is available
OA status: gold

Open access status per OpenAlex
OA URL: https://www.mdpi.com/2227-9717/12/4/661/pdf?version=1711460575

Direct OA link when available
Concepts: Setpoint, Process (computing), Computer science, Process engineering, Process modeling, Stability (learning theory), Machine learning, Artificial intelligence, Domain (mathematical analysis), Range (aeronautics), Production (economics), Process optimization, Engineering, Mathematics, Operating system, Macroeconomics, Environmental engineering, Economics, Aerospace engineering, Mathematical analysis

Top concepts (fields/topics) attached by OpenAlex
Cited by: 5

Total citation count in OpenAlex
Citations by year (recent): 2025: 4, 2024: 1

Per-year citation counts (last 5 years)
References (count): 33

Number of works referenced by this work
Related works (count): 10

Other works algorithmically related by OpenAlex

Full payload

id	https://openalex.org/W4393187254
doi	https://doi.org/10.3390/pr12040661
ids.doi	https://doi.org/10.3390/pr12040661
ids.openalex	https://openalex.org/W4393187254
fwci	3.18104342
type	article
title	Production Capacity Prediction and Optimization in the Glycerin Purification Process: A Simulation-Assisted Few-Shot Learning Approach
biblio.issue	4
biblio.volume	12
biblio.last_page	661
biblio.first_page	661
topics[0].id	https://openalex.org/T10876
topics[0].field.id	https://openalex.org/fields/22
topics[0].field.display_name	Engineering
topics[0].score	0.9987000226974487
topics[0].domain.id	https://openalex.org/domains/3
topics[0].domain.display_name	Physical Sciences
topics[0].subfield.id	https://openalex.org/subfields/2207
topics[0].subfield.display_name	Control and Systems Engineering
topics[0].display_name	Fault Detection and Control Systems
topics[1].id	https://openalex.org/T12282
topics[1].field.id	https://openalex.org/fields/22
topics[1].field.display_name	Engineering
topics[1].score	0.9829999804496765
topics[1].domain.id	https://openalex.org/domains/3
topics[1].domain.display_name	Physical Sciences
topics[1].subfield.id	https://openalex.org/subfields/2210
topics[1].subfield.display_name	Mechanical Engineering
topics[1].display_name	Mineral Processing and Grinding
topics[2].id	https://openalex.org/T14470
topics[2].field.id	https://openalex.org/fields/22
topics[2].field.display_name	Engineering
topics[2].score	0.9318000078201294
topics[2].domain.id	https://openalex.org/domains/3
topics[2].domain.display_name	Physical Sciences
topics[2].subfield.id	https://openalex.org/subfields/2207
topics[2].subfield.display_name	Control and Systems Engineering
topics[2].display_name	Advanced Data Processing Techniques
is_xpac	False
apc_list.value	2000
apc_list.currency	CHF
apc_list.value_usd	2165
apc_paid.value	2000
apc_paid.currency	CHF
apc_paid.value_usd	2165
concepts[0].id	https://openalex.org/C12302492
concepts[0].level	2
concepts[0].score	0.7105094194412231
concepts[0].wikidata	https://www.wikidata.org/wiki/Q1752097
concepts[0].display_name	Setpoint
concepts[1].id	https://openalex.org/C98045186
concepts[1].level	2
concepts[1].score	0.6495217084884644
concepts[1].wikidata	https://www.wikidata.org/wiki/Q205663
concepts[1].display_name	Process (computing)
concepts[2].id	https://openalex.org/C41008148
concepts[2].level	0
concepts[2].score	0.5873843431472778
concepts[2].wikidata	https://www.wikidata.org/wiki/Q21198
concepts[2].display_name	Computer science
concepts[3].id	https://openalex.org/C21880701
concepts[3].level	1
concepts[3].score	0.4754854440689087
concepts[3].wikidata	https://www.wikidata.org/wiki/Q2144042
concepts[3].display_name	Process engineering
concepts[4].id	https://openalex.org/C76956256
concepts[4].level	3
concepts[4].score	0.4723799228668213
concepts[4].wikidata	https://www.wikidata.org/wiki/Q27610560
concepts[4].display_name	Process modeling
concepts[5].id	https://openalex.org/C112972136
concepts[5].level	2
concepts[5].score	0.4695717990398407
concepts[5].wikidata	https://www.wikidata.org/wiki/Q7595718
concepts[5].display_name	Stability (learning theory)
concepts[6].id	https://openalex.org/C119857082
concepts[6].level	1
concepts[6].score	0.43770450353622437
concepts[6].wikidata	https://www.wikidata.org/wiki/Q2539
concepts[6].display_name	Machine learning
concepts[7].id	https://openalex.org/C154945302
concepts[7].level	1
concepts[7].score	0.4366241693496704
concepts[7].wikidata	https://www.wikidata.org/wiki/Q11660
concepts[7].display_name	Artificial intelligence
concepts[8].id	https://openalex.org/C36503486
concepts[8].level	2
concepts[8].score	0.43578028678894043
concepts[8].wikidata	https://www.wikidata.org/wiki/Q11235244
concepts[8].display_name	Domain (mathematical analysis)
concepts[9].id	https://openalex.org/C204323151
concepts[9].level	2
concepts[9].score	0.43415671586990356
concepts[9].wikidata	https://www.wikidata.org/wiki/Q905424
concepts[9].display_name	Range (aeronautics)
concepts[10].id	https://openalex.org/C2778348673
concepts[10].level	2
concepts[10].score	0.42502644658088684
concepts[10].wikidata	https://www.wikidata.org/wiki/Q739302
concepts[10].display_name	Production (economics)
concepts[11].id	https://openalex.org/C115952470
concepts[11].level	2
concepts[11].score	0.3416646718978882
concepts[11].wikidata	https://www.wikidata.org/wiki/Q332172
concepts[11].display_name	Process optimization
concepts[12].id	https://openalex.org/C127413603
concepts[12].level	0
concepts[12].score	0.22915175557136536
concepts[12].wikidata	https://www.wikidata.org/wiki/Q11023
concepts[12].display_name	Engineering
concepts[13].id	https://openalex.org/C33923547
concepts[13].level	0
concepts[13].score	0.09065726399421692
concepts[13].wikidata	https://www.wikidata.org/wiki/Q395
concepts[13].display_name	Mathematics
concepts[14].id	https://openalex.org/C111919701
concepts[14].level	1
concepts[14].score	0.0
concepts[14].wikidata	https://www.wikidata.org/wiki/Q9135
concepts[14].display_name	Operating system
concepts[15].id	https://openalex.org/C139719470
concepts[15].level	1
concepts[15].score	0.0
concepts[15].wikidata	https://www.wikidata.org/wiki/Q39680
concepts[15].display_name	Macroeconomics
concepts[16].id	https://openalex.org/C87717796
concepts[16].level	1
concepts[16].score	0.0
concepts[16].wikidata	https://www.wikidata.org/wiki/Q146326
concepts[16].display_name	Environmental engineering
concepts[17].id	https://openalex.org/C162324750
concepts[17].level	0
concepts[17].score	0.0
concepts[17].wikidata	https://www.wikidata.org/wiki/Q8134
concepts[17].display_name	Economics
concepts[18].id	https://openalex.org/C146978453
concepts[18].level	1
concepts[18].score	0.0
concepts[18].wikidata	https://www.wikidata.org/wiki/Q3798668
concepts[18].display_name	Aerospace engineering
concepts[19].id	https://openalex.org/C134306372
concepts[19].level	1
concepts[19].score	0.0
concepts[19].wikidata	https://www.wikidata.org/wiki/Q7754
concepts[19].display_name	Mathematical analysis
keywords[0].id	https://openalex.org/keywords/setpoint
keywords[0].score	0.7105094194412231
keywords[0].display_name	Setpoint
keywords[1].id	https://openalex.org/keywords/process
keywords[1].score	0.6495217084884644
keywords[1].display_name	Process (computing)
keywords[2].id	https://openalex.org/keywords/computer-science
keywords[2].score	0.5873843431472778
keywords[2].display_name	Computer science
keywords[3].id	https://openalex.org/keywords/process-engineering
keywords[3].score	0.4754854440689087
keywords[3].display_name	Process engineering
keywords[4].id	https://openalex.org/keywords/process-modeling
keywords[4].score	0.4723799228668213
keywords[4].display_name	Process modeling
keywords[5].id	https://openalex.org/keywords/stability
keywords[5].score	0.4695717990398407
keywords[5].display_name	Stability (learning theory)
keywords[6].id	https://openalex.org/keywords/machine-learning
keywords[6].score	0.43770450353622437
keywords[6].display_name	Machine learning
keywords[7].id	https://openalex.org/keywords/artificial-intelligence
keywords[7].score	0.4366241693496704
keywords[7].display_name	Artificial intelligence
keywords[8].id	https://openalex.org/keywords/domain
keywords[8].score	0.43578028678894043
keywords[8].display_name	Domain (mathematical analysis)
keywords[9].id	https://openalex.org/keywords/range
keywords[9].score	0.43415671586990356
keywords[9].display_name	Range (aeronautics)
keywords[10].id	https://openalex.org/keywords/production
keywords[10].score	0.42502644658088684
keywords[10].display_name	Production (economics)
keywords[11].id	https://openalex.org/keywords/process-optimization
keywords[11].score	0.3416646718978882
keywords[11].display_name	Process optimization
keywords[12].id	https://openalex.org/keywords/engineering
keywords[12].score	0.22915175557136536
keywords[12].display_name	Engineering
keywords[13].id	https://openalex.org/keywords/mathematics
keywords[13].score	0.09065726399421692
keywords[13].display_name	Mathematics
language	en
locations[0].id	doi:10.3390/pr12040661
locations[0].is_oa	True
locations[0].source.id	https://openalex.org/S4210201879
locations[0].source.issn	2227-9717
locations[0].source.type	journal
locations[0].source.is_oa	True
locations[0].source.issn_l	2227-9717
locations[0].source.is_core	True
locations[0].source.is_in_doaj	False
locations[0].source.display_name	Processes
locations[0].source.host_organization	https://openalex.org/P4310310987
locations[0].source.host_organization_name	Multidisciplinary Digital Publishing Institute
locations[0].source.host_organization_lineage	https://openalex.org/P4310310987
locations[0].license	cc-by
locations[0].pdf_url	https://www.mdpi.com/2227-9717/12/4/661/pdf?version=1711460575
locations[0].version	publishedVersion
locations[0].raw_type	journal-article
locations[0].license_id	https://openalex.org/licenses/cc-by
locations[0].is_accepted	True
locations[0].is_published	True
locations[0].raw_source_name	Processes
locations[0].landing_page_url	https://doi.org/10.3390/pr12040661
indexed_in	crossref
authorships[0].author.id	https://openalex.org/A5094047984
authorships[0].author.orcid	https://orcid.org/0009-0008-3027-3751
authorships[0].author.display_name	Tawesin Jitchaiyapoom
authorships[0].countries	TH
authorships[0].affiliations[0].institution_ids	https://openalex.org/I198105771, https://openalex.org/I4210146814
authorships[0].affiliations[0].raw_affiliation_string	Department of Chemical Engineering, Center of Excellence on Petrochemicals and Materials Technology, Faculty of Engineering, Kasetsart University, Bangkok 10900, Thailand
authorships[0].affiliations[1].institution_ids	https://openalex.org/I198105771
authorships[0].affiliations[1].raw_affiliation_string	Faculty of Engineering, Kasetsart University, Bangkok 10900, Thailand;
authorships[0].institutions[0].id	https://openalex.org/I198105771
authorships[0].institutions[0].ror	https://ror.org/05gzceg21
authorships[0].institutions[0].type	education
authorships[0].institutions[0].lineage	https://openalex.org/I198105771
authorships[0].institutions[0].country_code	TH
authorships[0].institutions[0].display_name	Kasetsart University
authorships[0].institutions[1].id	https://openalex.org/I4210146814
authorships[0].institutions[1].ror	https://ror.org/04g4rsk10
authorships[0].institutions[1].type	nonprofit
authorships[0].institutions[1].lineage	https://openalex.org/I4210146814
authorships[0].institutions[1].country_code	TH
authorships[0].institutions[1].display_name	Petromat
authorships[0].author_position	first
authorships[0].raw_author_name	Tawesin Jitchaiyapoom
authorships[0].is_corresponding	False
authorships[0].raw_affiliation_strings	Department of Chemical Engineering, Center of Excellence on Petrochemicals and Materials Technology, Faculty of Engineering, Kasetsart University, Bangkok 10900, Thailand, Faculty of Engineering, Kasetsart University, Bangkok 10900, Thailand;
authorships[1].author.id	https://openalex.org/A5030073664
authorships[1].author.orcid	https://orcid.org/0000-0001-7622-9846
authorships[1].author.display_name	Chanin Panjapornpon
authorships[1].countries	TH
authorships[1].affiliations[0].institution_ids	https://openalex.org/I198105771, https://openalex.org/I4210146814
authorships[1].affiliations[0].raw_affiliation_string	Department of Chemical Engineering, Center of Excellence on Petrochemicals and Materials Technology, Faculty of Engineering, Kasetsart University, Bangkok 10900, Thailand
authorships[1].affiliations[1].institution_ids	https://openalex.org/I198105771
authorships[1].affiliations[1].raw_affiliation_string	Faculty of Engineering, Kasetsart University, Bangkok 10900, Thailand;
authorships[1].institutions[0].id	https://openalex.org/I198105771
authorships[1].institutions[0].ror	https://ror.org/05gzceg21
authorships[1].institutions[0].type	education
authorships[1].institutions[0].lineage	https://openalex.org/I198105771
authorships[1].institutions[0].country_code	TH
authorships[1].institutions[0].display_name	Kasetsart University
authorships[1].institutions[1].id	https://openalex.org/I4210146814
authorships[1].institutions[1].ror	https://ror.org/04g4rsk10
authorships[1].institutions[1].type	nonprofit
authorships[1].institutions[1].lineage	https://openalex.org/I4210146814
authorships[1].institutions[1].country_code	TH
authorships[1].institutions[1].display_name	Petromat
authorships[1].author_position	middle
authorships[1].raw_author_name	Chanin Panjapornpon
authorships[1].is_corresponding	False
authorships[1].raw_affiliation_strings	Department of Chemical Engineering, Center of Excellence on Petrochemicals and Materials Technology, Faculty of Engineering, Kasetsart University, Bangkok 10900, Thailand, Faculty of Engineering, Kasetsart University, Bangkok 10900, Thailand;
authorships[2].author.id	https://openalex.org/A5086296544
authorships[2].author.orcid	https://orcid.org/0000-0002-3210-9006
authorships[2].author.display_name	Santi Bardeeniz
authorships[2].countries	TH
authorships[2].affiliations[0].institution_ids	https://openalex.org/I198105771, https://openalex.org/I4210146814
authorships[2].affiliations[0].raw_affiliation_string	Department of Chemical Engineering, Center of Excellence on Petrochemicals and Materials Technology, Faculty of Engineering, Kasetsart University, Bangkok 10900, Thailand
authorships[2].affiliations[1].institution_ids	https://openalex.org/I198105771
authorships[2].affiliations[1].raw_affiliation_string	Faculty of Engineering, Kasetsart University, Bangkok 10900, Thailand;
authorships[2].institutions[0].id	https://openalex.org/I198105771
authorships[2].institutions[0].ror	https://ror.org/05gzceg21
authorships[2].institutions[0].type	education
authorships[2].institutions[0].lineage	https://openalex.org/I198105771
authorships[2].institutions[0].country_code	TH
authorships[2].institutions[0].display_name	Kasetsart University
authorships[2].institutions[1].id	https://openalex.org/I4210146814
authorships[2].institutions[1].ror	https://ror.org/04g4rsk10
authorships[2].institutions[1].type	nonprofit
authorships[2].institutions[1].lineage	https://openalex.org/I4210146814
authorships[2].institutions[1].country_code	TH
authorships[2].institutions[1].display_name	Petromat
authorships[2].author_position	middle
authorships[2].raw_author_name	Santi Bardeeniz
authorships[2].is_corresponding	False
authorships[2].raw_affiliation_strings	Department of Chemical Engineering, Center of Excellence on Petrochemicals and Materials Technology, Faculty of Engineering, Kasetsart University, Bangkok 10900, Thailand, Faculty of Engineering, Kasetsart University, Bangkok 10900, Thailand;
authorships[3].author.id	https://openalex.org/A5088868795
authorships[3].author.orcid	https://orcid.org/0000-0001-8473-1529
authorships[3].author.display_name	M.A. Hussain
authorships[3].countries	MY
authorships[3].affiliations[0].institution_ids	https://openalex.org/I33849332
authorships[3].affiliations[0].raw_affiliation_string	Department of Chemical Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia;
authorships[3].institutions[0].id	https://openalex.org/I33849332
authorships[3].institutions[0].ror	https://ror.org/00rzspn62
authorships[3].institutions[0].type	education
authorships[3].institutions[0].lineage	https://openalex.org/I33849332
authorships[3].institutions[0].country_code	MY
authorships[3].institutions[0].display_name	University of Malaya
authorships[3].author_position	last
authorships[3].raw_author_name	Mohd Azlan Hussain
authorships[3].is_corresponding	False
authorships[3].raw_affiliation_strings	Department of Chemical Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia;
has_content.pdf	True
has_content.grobid_xml	True
is_paratext	False
open_access.is_oa	True
open_access.oa_url	https://www.mdpi.com/2227-9717/12/4/661/pdf?version=1711460575
open_access.oa_status	gold
open_access.any_repository_has_fulltext	False
created_date	2025-10-10T00:00:00
display_name	Production Capacity Prediction and Optimization in the Glycerin Purification Process: A Simulation-Assisted Few-Shot Learning Approach
has_fulltext	True
is_retracted	False
updated_date	2025-11-06T03:46:38.306776
primary_topic.id	https://openalex.org/T10876
primary_topic.field.id	https://openalex.org/fields/22
primary_topic.field.display_name	Engineering
primary_topic.score	0.9987000226974487
primary_topic.domain.id	https://openalex.org/domains/3
primary_topic.domain.display_name	Physical Sciences
primary_topic.subfield.id	https://openalex.org/subfields/2207
primary_topic.subfield.display_name	Control and Systems Engineering
primary_topic.display_name	Fault Detection and Control Systems
related_works	https://openalex.org/W1495927848, https://openalex.org/W4205962020, https://openalex.org/W2620138946, https://openalex.org/W1527771352, https://openalex.org/W90946887, https://openalex.org/W191702426, https://openalex.org/W2994131054, https://openalex.org/W2066553546, https://openalex.org/W4255293822, https://openalex.org/W2891719965
cited_by_count	5
counts_by_year[0].year	2025
counts_by_year[0].cited_by_count	4
counts_by_year[1].year	2024
counts_by_year[1].cited_by_count	1
locations_count	1
best_oa_location.id	doi:10.3390/pr12040661
best_oa_location.is_oa	True
best_oa_location.source.id	https://openalex.org/S4210201879
best_oa_location.source.issn	2227-9717
best_oa_location.source.type	journal
best_oa_location.source.is_oa	True
best_oa_location.source.issn_l	2227-9717
best_oa_location.source.is_core	True
best_oa_location.source.is_in_doaj	False
best_oa_location.source.display_name	Processes
best_oa_location.source.host_organization	https://openalex.org/P4310310987
best_oa_location.source.host_organization_name	Multidisciplinary Digital Publishing Institute
best_oa_location.source.host_organization_lineage	https://openalex.org/P4310310987
best_oa_location.license	cc-by
best_oa_location.pdf_url	https://www.mdpi.com/2227-9717/12/4/661/pdf?version=1711460575
best_oa_location.version	publishedVersion
best_oa_location.raw_type	journal-article
best_oa_location.license_id	https://openalex.org/licenses/cc-by
best_oa_location.is_accepted	True
best_oa_location.is_published	True
best_oa_location.raw_source_name	Processes
best_oa_location.landing_page_url	https://doi.org/10.3390/pr12040661
primary_location.id	doi:10.3390/pr12040661
primary_location.is_oa	True
primary_location.source.id	https://openalex.org/S4210201879
primary_location.source.issn	2227-9717
primary_location.source.type	journal
primary_location.source.is_oa	True
primary_location.source.issn_l	2227-9717
primary_location.source.is_core	True
primary_location.source.is_in_doaj	False
primary_location.source.display_name	Processes
primary_location.source.host_organization	https://openalex.org/P4310310987
primary_location.source.host_organization_name	Multidisciplinary Digital Publishing Institute
primary_location.source.host_organization_lineage	https://openalex.org/P4310310987
primary_location.license	cc-by
primary_location.pdf_url	https://www.mdpi.com/2227-9717/12/4/661/pdf?version=1711460575
primary_location.version	publishedVersion
primary_location.raw_type	journal-article
primary_location.license_id	https://openalex.org/licenses/cc-by
primary_location.is_accepted	True
primary_location.is_published	True
primary_location.raw_source_name	Processes
primary_location.landing_page_url	https://doi.org/10.3390/pr12040661
publication_date	2024-03-26
publication_year	2024
referenced_works	https://openalex.org/W4319599851, https://openalex.org/W2888223279, https://openalex.org/W2046726401, https://openalex.org/W2038332742, https://openalex.org/W4313419153, https://openalex.org/W4313479509, https://openalex.org/W3101781665, https://openalex.org/W3084233697, https://openalex.org/W4213345686, https://openalex.org/W4307905268, https://openalex.org/W3089352498, https://openalex.org/W4353048130, https://openalex.org/W6804184373, https://openalex.org/W3136033096, https://openalex.org/W2461045302, https://openalex.org/W2064675550, https://openalex.org/W4310203911, https://openalex.org/W2915300743, https://openalex.org/W4310837319, https://openalex.org/W4223985848, https://openalex.org/W4391074517, https://openalex.org/W2883071431, https://openalex.org/W2954239558, https://openalex.org/W2900068343, https://openalex.org/W2997404503, https://openalex.org/W3176900260, https://openalex.org/W4310634273, https://openalex.org/W3118303912, https://openalex.org/W4391951723, https://openalex.org/W3195598455, https://openalex.org/W3169822846, https://openalex.org/W4229001178, https://openalex.org/W3215002070
referenced_works_count	33
abstract_inverted_index.a	5, 33, 92
abstract_inverted_index.by	86, 129
abstract_inverted_index.in	45, 131, 137
abstract_inverted_index.is	30, 84, 97
abstract_inverted_index.of	10, 26, 36, 52, 55, 76, 113, 149
abstract_inverted_index.on	4, 104
abstract_inverted_index.to	32, 49, 90, 108
abstract_inverted_index.The	24, 81, 119
abstract_inverted_index.and	18, 47, 68, 73, 135, 155
abstract_inverted_index.for	12, 42, 66, 159
abstract_inverted_index.the	53, 70, 77, 87, 105, 110, 114, 123, 141, 147, 150, 161
abstract_inverted_index.This	38
abstract_inverted_index.base	93
abstract_inverted_index.data	29
abstract_inverted_index.deep	63, 143
abstract_inverted_index.from	21
abstract_inverted_index.over	140
abstract_inverted_index.that	122
abstract_inverted_index.then	98
abstract_inverted_index.this	59
abstract_inverted_index.final	71
abstract_inverted_index.model	115, 125, 152
abstract_inverted_index.paper	60
abstract_inverted_index.range	9, 54
abstract_inverted_index.shows	121
abstract_inverted_index.using	100
abstract_inverted_index.water	133
abstract_inverted_index.which	96
abstract_inverted_index.24.22%	130
abstract_inverted_index.79.72%	136
abstract_inverted_index.beyond	116
abstract_inverted_index.domain	89, 112
abstract_inverted_index.extend	109
abstract_inverted_index.issues	41
abstract_inverted_index.model.	145
abstract_inverted_index.narrow	8
abstract_inverted_index.purity	72
abstract_inverted_index.raises	40
abstract_inverted_index.relies	3
abstract_inverted_index.result	120
abstract_inverted_index.target	106
abstract_inverted_index.content	134
abstract_inverted_index.control	2
abstract_inverted_index.feature	94
abstract_inverted_index.learner	107
abstract_inverted_index.limited	31
abstract_inverted_index.margins	11
abstract_inverted_index.network	83
abstract_inverted_index.outside	51
abstract_inverted_index.process	1, 16, 28, 43
abstract_inverted_index.product	156
abstract_inverted_index.quality	157
abstract_inverted_index.tightly	6
abstract_inverted_index.trained	85
abstract_inverted_index.working	111
abstract_inverted_index.Chemical	0
abstract_inverted_index.capacity	75
abstract_inverted_index.critical	13
abstract_inverted_index.ensuring	15
abstract_inverted_index.few-shot	101
abstract_inverted_index.generate	91
abstract_inverted_index.glycerin	78, 138, 162
abstract_inverted_index.improved	126
abstract_inverted_index.learning	65, 102, 144
abstract_inverted_index.process.	80, 164
abstract_inverted_index.proposed	82, 124, 151
abstract_inverted_index.proposes	61
abstract_inverted_index.setpoint	35
abstract_inverted_index.specific	34
abstract_inverted_index.transfer	64
abstract_inverted_index.adjusting	48
abstract_inverted_index.challenge	39
abstract_inverted_index.enhancing	160
abstract_inverted_index.equipment	20
abstract_inverted_index.potential	22
abstract_inverted_index.practice.	118
abstract_inverted_index.stability	17
abstract_inverted_index.Therefore,	58
abstract_inverted_index.accidents.	23
abstract_inverted_index.deviations	50
abstract_inverted_index.extractor,	95
abstract_inverted_index.fine-tuned	99
abstract_inverted_index.historical	27, 117
abstract_inverted_index.identified	153
abstract_inverted_index.monitoring	44
abstract_inverted_index.operation.	37
abstract_inverted_index.optimizing	69
abstract_inverted_index.predicting	46, 67, 132
abstract_inverted_index.prediction	127, 139
abstract_inverted_index.production	74, 154
abstract_inverted_index.simulation	88
abstract_inverted_index.techniques	103
abstract_inverted_index.variables,	14
abstract_inverted_index.controlled,	7
abstract_inverted_index.operational	56
abstract_inverted_index.parameters.	57
abstract_inverted_index.performance	128
abstract_inverted_index.availability	25
abstract_inverted_index.conventional	142
abstract_inverted_index.improvements	158
abstract_inverted_index.purification	79, 163
abstract_inverted_index.safeguarding	19
abstract_inverted_index.Additionally,	146
abstract_inverted_index.implementation	148
abstract_inverted_index.simulation-assisted	62
cited_by_percentile_year.max	98
cited_by_percentile_year.min	90
countries_distinct_count	2
institutions_distinct_count	4
citation_normalized_percentile.value	0.87568222
citation_normalized_percentile.is_in_top_1_percent	False
citation_normalized_percentile.is_in_top_10_percent	True