Results obtained from the supervised machine learning regression-based algorithms in the present work.

<p>Results obtained from the supervised machine learning regression-based algorithms in the present work.</p>

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Main Author: Akshansh Mishra (21001499) (author)
Other Authors: Vijaykumar Jatt (21001502) (author), Eyob Messele Sefene (21001505) (author), Sachin Salunkhe (18385161) (author), Robert Cep (18385164) (author), Emad Abouel Nasr (8960795) (author)
Published: 2025
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author Akshansh Mishra (21001499)
author2 Vijaykumar Jatt (21001502)
Eyob Messele Sefene (21001505)
Sachin Salunkhe (18385161)
Robert Cep (18385164)
Emad Abouel Nasr (8960795)
author2_role author
author
author
author
author
author_facet Akshansh Mishra (21001499)
Vijaykumar Jatt (21001502)
Eyob Messele Sefene (21001505)
Sachin Salunkhe (18385161)
Robert Cep (18385164)
Emad Abouel Nasr (8960795)
author_role author
dc.creator.none.fl_str_mv Akshansh Mishra (21001499)
Vijaykumar Jatt (21001502)
Eyob Messele Sefene (21001505)
Sachin Salunkhe (18385161)
Robert Cep (18385164)
Emad Abouel Nasr (8960795)
dc.date.none.fl_str_mv 2025-04-04T18:09:56Z
dc.identifier.none.fl_str_mv 10.1371/journal.pone.0309751.t001
dc.relation.none.fl_str_mv https://figshare.com/articles/dataset/Results_obtained_from_the_supervised_machine_learning_regression-based_algorithms_in_the_present_work_/28733822
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Biophysics
Medicine
Genetics
Space Science
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
peak temperature distribution
integrated ml approach
informed neural networks
eight regression algorithms
classify deposition quality
supervised machine learning
hinders process optimization
afsd still need
driven learning
work employs
work demonstrates
wave propagation
thermal profiles
thermal management
tailoring microstructure
resulting microstructure
quantum mechanics
process parameters
process factors
novel solid
lowest mse
heat transfer
fusing data
circumvents issues
bridging statistical
better understood
based modeling
also applied
dc.title.none.fl_str_mv Results obtained from the supervised machine learning regression-based algorithms in the present work.
dc.type.none.fl_str_mv Dataset
info:eu-repo/semantics/publishedVersion
dataset
description <p>Results obtained from the supervised machine learning regression-based algorithms in the present work.</p>
eu_rights_str_mv openAccess
id Manara_d0d64bfddf4e427a028cc6d1d67c725a
identifier_str_mv 10.1371/journal.pone.0309751.t001
network_acronym_str Manara
network_name_str ManaraRepo
oai_identifier_str oai:figshare.com:article/28733822
publishDate 2025
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY 4.0
spelling Results obtained from the supervised machine learning regression-based algorithms in the present work.Akshansh Mishra (21001499)Vijaykumar Jatt (21001502)Eyob Messele Sefene (21001505)Sachin Salunkhe (18385161)Robert Cep (18385164)Emad Abouel Nasr (8960795)BiophysicsMedicineGeneticsSpace ScienceBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedpeak temperature distributionintegrated ml approachinformed neural networkseight regression algorithmsclassify deposition qualitysupervised machine learninghinders process optimizationafsd still needdriven learningwork employswork demonstrateswave propagationthermal profilesthermal managementtailoring microstructureresulting microstructurequantum mechanicsprocess parametersprocess factorsnovel solidlowest mseheat transferfusing datacircumvents issuesbridging statisticalbetter understoodbased modelingalso applied<p>Results obtained from the supervised machine learning regression-based algorithms in the present work.</p>2025-04-04T18:09:56ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0309751.t001https://figshare.com/articles/dataset/Results_obtained_from_the_supervised_machine_learning_regression-based_algorithms_in_the_present_work_/28733822CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/287338222025-04-04T18:09:56Z
spellingShingle Results obtained from the supervised machine learning regression-based algorithms in the present work.
Akshansh Mishra (21001499)
Biophysics
Medicine
Genetics
Space Science
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
peak temperature distribution
integrated ml approach
informed neural networks
eight regression algorithms
classify deposition quality
supervised machine learning
hinders process optimization
afsd still need
driven learning
work employs
work demonstrates
wave propagation
thermal profiles
thermal management
tailoring microstructure
resulting microstructure
quantum mechanics
process parameters
process factors
novel solid
lowest mse
heat transfer
fusing data
circumvents issues
bridging statistical
better understood
based modeling
also applied
status_str publishedVersion
title Results obtained from the supervised machine learning regression-based algorithms in the present work.
title_full Results obtained from the supervised machine learning regression-based algorithms in the present work.
title_fullStr Results obtained from the supervised machine learning regression-based algorithms in the present work.
title_full_unstemmed Results obtained from the supervised machine learning regression-based algorithms in the present work.
title_short Results obtained from the supervised machine learning regression-based algorithms in the present work.
title_sort Results obtained from the supervised machine learning regression-based algorithms in the present work.
topic Biophysics
Medicine
Genetics
Space Science
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
peak temperature distribution
integrated ml approach
informed neural networks
eight regression algorithms
classify deposition quality
supervised machine learning
hinders process optimization
afsd still need
driven learning
work employs
work demonstrates
wave propagation
thermal profiles
thermal management
tailoring microstructure
resulting microstructure
quantum mechanics
process parameters
process factors
novel solid
lowest mse
heat transfer
fusing data
circumvents issues
bridging statistical
better understood
based modeling
also applied