{"id":"https://openalex.org/W2966632508","doi":"https://doi.org/10.3390/s19153400","title":"Logistic Regression for Machine Learning in Process Tomography","display_name":"Logistic Regression for Machine Learning in Process Tomography","publication_year":2019,"publication_date":"2019-08-02","ids":{"openalex":"https://openalex.org/W2966632508","doi":"https://doi.org/10.3390/s19153400","mag":"2966632508","pmid":"https://pubmed.ncbi.nlm.nih.gov/31382513"},"language":"en","primary_location":{"id":"doi:10.3390/s19153400","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19153400","pdf_url":"https://www.mdpi.com/1424-8220/19/15/3400/pdf?version=1564753752","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/19/15/3400/pdf?version=1564753752","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066003040","display_name":"Tomasz Rymarczyk","orcid":"https://orcid.org/0000-0002-3524-9151"},"institutions":[{"id":"https://openalex.org/I2799788900","display_name":"University of Economics and Innovation","ror":"https://ror.org/012a85e51","country_code":"PL","type":"education","lineage":["https://openalex.org/I2799788900"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Tomasz Rymarczyk","raw_affiliation_strings":["Research &amp; Development Centre Netrix S.A., University of Economics and Innovation in Lublin, 20-209 Lublin, Poland"],"raw_orcid":"https://orcid.org/0000-0002-3524-9151","affiliations":[{"raw_affiliation_string":"Research &amp; Development Centre Netrix S.A., University of Economics and Innovation in Lublin, 20-209 Lublin, Poland","institution_ids":["https://openalex.org/I2799788900"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073447410","display_name":"Edward Koz\u0142owski","orcid":"https://orcid.org/0000-0002-7147-4903"},"institutions":[{"id":"https://openalex.org/I8264552","display_name":"Lublin University of Technology","ror":"https://ror.org/024zjzd49","country_code":"PL","type":"education","lineage":["https://openalex.org/I8264552"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Edward Koz\u0142owski","raw_affiliation_strings":["Faculty of Management, Lublin University of Technology, 20-618 Lublin, Poland"],"raw_orcid":"https://orcid.org/0000-0002-7147-4903","affiliations":[{"raw_affiliation_string":"Faculty of Management, Lublin University of Technology, 20-618 Lublin, Poland","institution_ids":["https://openalex.org/I8264552"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070349657","display_name":"Grzegorz K\u0142osowski","orcid":"https://orcid.org/0000-0001-7927-3674"},"institutions":[{"id":"https://openalex.org/I8264552","display_name":"Lublin University of Technology","ror":"https://ror.org/024zjzd49","country_code":"PL","type":"education","lineage":["https://openalex.org/I8264552"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Grzegorz K\u0142osowski","raw_affiliation_strings":["Faculty of Management, Lublin University of Technology, 20-618 Lublin, Poland"],"raw_orcid":"https://orcid.org/0000-0001-7927-3674","affiliations":[{"raw_affiliation_string":"Faculty of Management, Lublin University of Technology, 20-618 Lublin, Poland","institution_ids":["https://openalex.org/I8264552"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003667387","display_name":"Konrad Niderla","orcid":"https://orcid.org/0000-0003-1280-0622"},"institutions":[{"id":"https://openalex.org/I2799788900","display_name":"University of Economics and Innovation","ror":"https://ror.org/012a85e51","country_code":"PL","type":"education","lineage":["https://openalex.org/I2799788900"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Konrad Niderla","raw_affiliation_strings":["Research &amp; Development Centre Netrix S.A., University of Economics and Innovation in Lublin, 20-209 Lublin, Poland"],"raw_orcid":"https://orcid.org/0000-0003-1280-0622","affiliations":[{"raw_affiliation_string":"Research &amp; Development Centre Netrix S.A., University of Economics and Innovation in Lublin, 20-209 Lublin, Poland","institution_ids":["https://openalex.org/I2799788900"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070349657"],"corresponding_institution_ids":["https://openalex.org/I8264552"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":9.6862,"has_fulltext":true,"cited_by_count":153,"citation_normalized_percentile":{"value":0.98605111,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"19","issue":"15","first_page":"3400","last_page":"3400"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11778","display_name":"Electrical and Bioimpedance Tomography","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T11778","display_name":"Electrical and Bioimpedance Tomography","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9560999870300293,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9376999735832214,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"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/pixel","display_name":"Pixel","score":0.8163906335830688},{"id":"https://openalex.org/keywords/electrical-impedance-tomography","display_name":"Electrical impedance tomography","score":0.6361604332923889},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6336582899093628},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.6033810377120972},{"id":"https://openalex.org/keywords/tomography","display_name":"Tomography","score":0.5931476950645447},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5461039543151855},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5342209935188293},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4707024097442627},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4563799500465393},{"id":"https://openalex.org/keywords/elastic-net-regularization","display_name":"Elastic net regularization","score":0.42189323902130127},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3989156186580658},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3379554748535156},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32276567816734314},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3209904730319977},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2244429886341095},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.06499013304710388}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.8163906335830688},{"id":"https://openalex.org/C155175808","wikidata":"https://www.wikidata.org/wiki/Q1326472","display_name":"Electrical impedance tomography","level":3,"score":0.6361604332923889},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6336582899093628},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.6033810377120972},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.5931476950645447},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5461039543151855},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5342209935188293},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4707024097442627},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4563799500465393},{"id":"https://openalex.org/C203868755","wikidata":"https://www.wikidata.org/wiki/Q5353562","display_name":"Elastic net regularization","level":3,"score":0.42189323902130127},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3989156186580658},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3379554748535156},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32276567816734314},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3209904730319977},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2244429886341095},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.06499013304710388},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s19153400","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19153400","pdf_url":"https://www.mdpi.com/1424-8220/19/15/3400/pdf?version=1564753752","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:31382513","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31382513","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:76aac811724d4a529d7dc4ebabacdec8","is_oa":true,"landing_page_url":"https://doaj.org/article/76aac811724d4a529d7dc4ebabacdec8","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 19, Iss 15, p 3400 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/19/15/3400/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s19153400","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:6696525","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6696525","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s19153400","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19153400","pdf_url":"https://www.mdpi.com/1424-8220/19/15/3400/pdf?version=1564753752","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2966632508.pdf","grobid_xml":"https://content.openalex.org/works/W2966632508.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W652265168","https://openalex.org/W1837344146","https://openalex.org/W1982240355","https://openalex.org/W2074662253","https://openalex.org/W2084497670","https://openalex.org/W2087216940","https://openalex.org/W2103122975","https://openalex.org/W2104549252","https://openalex.org/W2122825543","https://openalex.org/W2133713901","https://openalex.org/W2135046866","https://openalex.org/W2189842215","https://openalex.org/W2286226518","https://openalex.org/W2465765781","https://openalex.org/W2476358294","https://openalex.org/W2487644592","https://openalex.org/W2546982352","https://openalex.org/W2550246645","https://openalex.org/W2559216438","https://openalex.org/W2567369551","https://openalex.org/W2573554430","https://openalex.org/W2576771507","https://openalex.org/W2745660960","https://openalex.org/W2745725932","https://openalex.org/W2747768591","https://openalex.org/W2754288225","https://openalex.org/W2754890391","https://openalex.org/W2755054607","https://openalex.org/W2756018290","https://openalex.org/W2783545969","https://openalex.org/W2784127972","https://openalex.org/W2784624610","https://openalex.org/W2785381720","https://openalex.org/W2787894218","https://openalex.org/W2789664003","https://openalex.org/W2801796145","https://openalex.org/W2807902875","https://openalex.org/W2808510868","https://openalex.org/W2810747700","https://openalex.org/W2826642550","https://openalex.org/W2888088458","https://openalex.org/W2888132780","https://openalex.org/W2889236449","https://openalex.org/W2894036697","https://openalex.org/W2898217221","https://openalex.org/W2899186693","https://openalex.org/W2924523132","https://openalex.org/W2933142384","https://openalex.org/W2950004033","https://openalex.org/W3123944501","https://openalex.org/W4239567354","https://openalex.org/W6675652679","https://openalex.org/W6744315591","https://openalex.org/W6744418945","https://openalex.org/W6745082818"],"related_works":["https://openalex.org/W3211685995","https://openalex.org/W2532315310","https://openalex.org/W2902419700","https://openalex.org/W3160616384","https://openalex.org/W2905540725","https://openalex.org/W4376629886","https://openalex.org/W2000128178","https://openalex.org/W2101428392","https://openalex.org/W2537891456","https://openalex.org/W2215273690"],"abstract_inverted_index":{"The":[0,22,45,142,186],"main":[1],"goal":[2],"of":[3,74,101,103,124,157,167,192,195,201],"the":[4,75,99,104,111,122,136,152,158,165,172,190,193,199],"research":[5],"presented":[6],"in":[7,30,54,70,126,198],"this":[8,109],"paper":[9],"was":[10,48,68,78,88,114,140],"to":[11,32,90,98,108,116,151,163,171],"develop":[12],"a":[13,49,65,81],"refined":[14],"machine":[15],"learning":[16],"algorithm":[17,144],"for":[18],"industrial":[19],"tomography":[20,38,43],"applications.":[21],"article":[23],"presents":[24],"algorithms":[25],"based":[26],"on":[27],"logistic":[28,127,196],"regression":[29,128,197],"relation":[31],"image":[33,77],"reconstruction":[34,200],"using":[35],"electrical":[36],"impedance":[37],"(EIT)":[39],"and":[40,63,132,155,182,203],"ultrasound":[41],"transmission":[42],"(UST).":[44],"test":[46],"object":[47],"tank":[50],"filled":[51],"with":[52],"water":[53],"which":[55,71],"reconstructed":[56,79,159],"objects":[57],"were":[58,177],"placed.":[59],"For":[60],"both":[61],"EIT":[62,202],"UST,":[64],"novel":[66],"approach":[67,110],"used":[69],"each":[72],"pixel":[73],"output":[76,105],"by":[80,129],"separately":[82],"trained":[83],"prediction":[84],"system.":[85],"Therefore,":[86],"it":[87],"necessary":[89],"use":[91],"many":[92],"predictive":[93],"systems":[94],"whose":[95],"number":[96,100,123,154],"corresponds":[97],"pixels":[102],"image.":[106],"Thanks":[107],"under-completed":[112],"problem":[113],"changed":[115],"an":[117],"over-completed":[118],"one.":[119],"To":[120],"reduce":[121],"predictors":[125],"removing":[130],"irrelevant":[131],"mutually":[133],"correlated":[134],"entries,":[135],"elastic":[137],"net":[138],"method":[139],"used.":[141],"developed":[143],"that":[145],"reconstructs":[146],"images":[147],"pixel-by-pixel":[148],"is":[149],"insensitive":[150],"shape,":[153],"position":[156],"objects.":[160],"In":[161],"order":[162],"assess":[164],"quality":[166],"mappings":[168],"obtained":[169,187],"thanks":[170],"new":[173],"algorithm,":[174],"appropriate":[175],"metrics":[176],"used:":[178],"compatibility":[179],"ratio":[180],"(CR)":[181],"relative":[183],"error":[184],"(RE).":[185],"results":[188],"enabled":[189],"assessment":[191],"usefulness":[194],"UST":[204],"images.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":30},{"year":2022,"cited_by_count":32},{"year":2021,"cited_by_count":34},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
