{"id":"https://openalex.org/W4389989129","doi":"https://doi.org/10.1109/ist59124.2023.10355717","title":"Tomographic Imaging and Deep Learning based Reconstruction of Burner Flames","display_name":"Tomographic Imaging and Deep Learning based Reconstruction of Burner Flames","publication_year":2023,"publication_date":"2023-10-17","ids":{"openalex":"https://openalex.org/W4389989129","doi":"https://doi.org/10.1109/ist59124.2023.10355717"},"language":"en","primary_location":{"id":"doi:10.1109/ist59124.2023.10355717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ist59124.2023.10355717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Imaging Systems and Techniques (IST)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://kar.kent.ac.uk/110554/1/IEEE%20Xplore%20Full-Text%20PDF.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093539409","display_name":"Bamidele Ogunjumelo","orcid":null},"institutions":[{"id":"https://openalex.org/I20581793","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56","country_code":"GB","type":"education","lineage":["https://openalex.org/I20581793"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Bamidele Ogunjumelo","raw_affiliation_strings":["University of Kent,School of Engineering,Canterbury,UK","School of Engineering, University of Kent, Canterbury, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Kent,School of Engineering,Canterbury,UK","institution_ids":["https://openalex.org/I20581793"]},{"raw_affiliation_string":"School of Engineering, University of Kent, Canterbury, UK","institution_ids":["https://openalex.org/I20581793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006222474","display_name":"Md. Moinul Hossain","orcid":null},"institutions":[{"id":"https://openalex.org/I20581793","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56","country_code":"GB","type":"education","lineage":["https://openalex.org/I20581793"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Md. Moinul Hossain","raw_affiliation_strings":["University of Kent,School of Engineering,Canterbury,UK","School of Engineering, University of Kent, Canterbury, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Kent,School of Engineering,Canterbury,UK","institution_ids":["https://openalex.org/I20581793"]},{"raw_affiliation_string":"School of Engineering, University of Kent, Canterbury, UK","institution_ids":["https://openalex.org/I20581793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101791181","display_name":"Gang Lu","orcid":"https://orcid.org/0000-0002-9093-6448"},"institutions":[{"id":"https://openalex.org/I20581793","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56","country_code":"GB","type":"education","lineage":["https://openalex.org/I20581793"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Gang Lu","raw_affiliation_strings":["University of Kent,School of Engineering,Canterbury,UK","School of Engineering, University of Kent, Canterbury, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Kent,School of Engineering,Canterbury,UK","institution_ids":["https://openalex.org/I20581793"]},{"raw_affiliation_string":"School of Engineering, University of Kent, Canterbury, UK","institution_ids":["https://openalex.org/I20581793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036185693","display_name":"Ali Mehmood Khan","orcid":"https://orcid.org/0000-0003-2896-2095"},"institutions":[{"id":"https://openalex.org/I20581793","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56","country_code":"GB","type":"education","lineage":["https://openalex.org/I20581793"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ali Khan","raw_affiliation_strings":["University of Kent,School of Engineering,Canterbury,UK","School of Engineering, University of Kent, Canterbury, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Kent,School of Engineering,Canterbury,UK","institution_ids":["https://openalex.org/I20581793"]},{"raw_affiliation_string":"School of Engineering, University of Kent, Canterbury, UK","institution_ids":["https://openalex.org/I20581793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20581793"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10553","display_name":"Combustion and flame dynamics","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10553","display_name":"Combustion and flame dynamics","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12304","display_name":"Radiative Heat Transfer Studies","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7548985481262207},{"id":"https://openalex.org/keywords/combustor","display_name":"Combustor","score":0.6858908534049988},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6468173265457153},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.641020655632019},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5329234600067139},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5159385800361633},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.511387288570404},{"id":"https://openalex.org/keywords/tomographic-reconstruction","display_name":"Tomographic reconstruction","score":0.5040158629417419},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4175467789173126},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37686699628829956},{"id":"https://openalex.org/keywords/combustion","display_name":"Combustion","score":0.1193893551826477},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.07306528091430664}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7548985481262207},{"id":"https://openalex.org/C83104080","wikidata":"https://www.wikidata.org/wiki/Q3809680","display_name":"Combustor","level":3,"score":0.6858908534049988},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6468173265457153},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.641020655632019},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5329234600067139},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5159385800361633},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.511387288570404},{"id":"https://openalex.org/C97742081","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Tomographic reconstruction","level":3,"score":0.5040158629417419},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4175467789173126},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37686699628829956},{"id":"https://openalex.org/C105923489","wikidata":"https://www.wikidata.org/wiki/Q133235","display_name":"Combustion","level":2,"score":0.1193893551826477},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.07306528091430664},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ist59124.2023.10355717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ist59124.2023.10355717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Imaging Systems and Techniques (IST)","raw_type":"proceedings-article"},{"id":"pmh:oai:kar.kent.ac.uk:110554","is_oa":true,"landing_page_url":"https://doi.org/10.1109/IST59124.2023.10355717>)","pdf_url":"https://kar.kent.ac.uk/110554/1/IEEE%20Xplore%20Full-Text%20PDF.pdf","source":{"id":"https://openalex.org/S4377196264","display_name":"Kent Academic Repository (University of Kent)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I20581793","host_organization_name":"University of Kent","host_organization_lineage":["https://openalex.org/I20581793"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Conference proceeding"},{"id":"pmh:oai:kar.kent.ac.uk:102827","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ist59124.2023.10355717>)","pdf_url":null,"source":{"id":"https://openalex.org/S4377196264","display_name":"Kent Academic Repository (University of Kent)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I20581793","host_organization_name":"University of Kent","host_organization_lineage":["https://openalex.org/I20581793"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Conference proceeding"}],"best_oa_location":{"id":"pmh:oai:kar.kent.ac.uk:110554","is_oa":true,"landing_page_url":"https://doi.org/10.1109/IST59124.2023.10355717>)","pdf_url":"https://kar.kent.ac.uk/110554/1/IEEE%20Xplore%20Full-Text%20PDF.pdf","source":{"id":"https://openalex.org/S4377196264","display_name":"Kent Academic Repository (University of Kent)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I20581793","host_organization_name":"University of Kent","host_organization_lineage":["https://openalex.org/I20581793"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Conference proceeding"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.41999998688697815,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389989129.pdf","grobid_xml":"https://content.openalex.org/works/W4389989129.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1967851754","https://openalex.org/W1990919278","https://openalex.org/W2017831950","https://openalex.org/W2442117232","https://openalex.org/W2570202822","https://openalex.org/W2758870776","https://openalex.org/W2808537344","https://openalex.org/W2897722020","https://openalex.org/W2905066402","https://openalex.org/W2963408106","https://openalex.org/W2972338003","https://openalex.org/W3048033719","https://openalex.org/W3084150231","https://openalex.org/W3120922303","https://openalex.org/W3125516532","https://openalex.org/W4240518936","https://openalex.org/W6602065794"],"related_works":["https://openalex.org/W2982317495","https://openalex.org/W2295596929","https://openalex.org/W2088308468","https://openalex.org/W170151271","https://openalex.org/W2017732498","https://openalex.org/W2947117330","https://openalex.org/W2137532034","https://openalex.org/W2004988775","https://openalex.org/W1574221054","https://openalex.org/W1997330082"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,25,41,76,99,111,118,138],"tomographic":[4,26],"and":[5,51,90,159,165],"deep":[6],"learning":[7,113],"(DL)":[8],"technique":[9,39,58],"for":[10,83],"the":[11,33,48,64,84,87,132,150,154,162],"three-dimensional":[12],"(3-D)":[13],"reconstruction":[14,57,85],"of":[15,86],"burner":[16],"flames.":[17],"Two-dimensional":[18],"(2-D)":[19],"flame":[20,36,68,88,134,163],"images":[21,135],"are":[22,96],"obtained":[23,136,148],"using":[24,40,110,131],"imaging":[27],"system":[28],"from":[29,149],"different":[30,144],"directions":[31],"around":[32],"burner.":[34],"A":[35,71],"data":[37],"augmentation":[38],"morphological":[42],"operator":[43],"is":[44,60,81,108,129],"used":[45,61],"to":[46,62,122],"generate":[47,63],"complete":[49],"training":[50],"testing":[52],"datasets.":[53,70],"The":[54,93,106,126],"simultaneous":[55],"algebraic":[56],"(SART)":[59],"ground":[65],"truth,":[66],"i.e.,":[67,117],"cross-sectional":[69],"DL":[72],"method":[73],"based":[74],"on":[75,137],"convolutional":[77],"neural":[78],"network":[79],"(CNN)":[80],"employed":[82],"cross-":[89,164],"longitudinal":[91,166],"sections.":[92,167],"CNN":[94,107],"parameters":[95],"optimized":[97],"through":[98],"trial-and-error":[100],"approach":[101],"as":[102,104],"well":[103],"simulation.":[105],"constructed":[109],"machine":[112],"(ML)":[114],"hardware":[115],"accelerator":[116],"tensor":[119],"processing":[120],"unit":[121],"perform":[123],"faster":[124,160],"reconstruction.":[125],"proposed":[127,155],"model":[128],"evaluated":[130],"2-D":[133],"lab-scale":[139],"gas-fired":[140],"test":[141],"rig":[142],"under":[143],"operation":[145],"conditions.":[146],"Results":[147],"experiments":[151],"suggest":[152],"that":[153],"strategy":[156],"can":[157],"accurately":[158],"reconstruct":[161]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
