{"id":"https://openalex.org/W4404034527","doi":"https://doi.org/10.1145/3666025.3699414","title":"Poster: The Concept of an Ultrasensitive Industrial Ultrasound Scanner Using Hilbert and Wavelet Transforms in a Machine Learning Model","display_name":"Poster: The Concept of an Ultrasensitive Industrial Ultrasound Scanner Using Hilbert and Wavelet Transforms in a Machine Learning Model","publication_year":2024,"publication_date":"2024-11-04","ids":{"openalex":"https://openalex.org/W4404034527","doi":"https://doi.org/10.1145/3666025.3699414"},"language":"en","primary_location":{"id":"doi:10.1145/3666025.3699414","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3666025.3699414","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3666025.3699414","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3666025.3699414","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","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, Lublin, Poland"],"raw_orcid":"https://orcid.org/0000-0001-7927-3674","affiliations":[{"raw_affiliation_string":"Faculty of Management, Lublin University of Technology, Lublin, Poland","institution_ids":["https://openalex.org/I8264552"]}]},{"author_position":"middle","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":["Faculty of Transport and Computer Science, WSEI University, Lublin, Poland","Research and Development Center Netrix S.A., Lublin, Poland"],"raw_orcid":"https://orcid.org/0000-0002-3524-9151","affiliations":[{"raw_affiliation_string":"Faculty of Transport and Computer Science, WSEI University, Lublin, Poland","institution_ids":["https://openalex.org/I2799788900"]},{"raw_affiliation_string":"Research and Development Center Netrix S.A., Lublin, Poland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085895836","display_name":"Manuchehr Soleimani","orcid":"https://orcid.org/0000-0002-6341-9592"},"institutions":[{"id":"https://openalex.org/I51601045","display_name":"University of Bath","ror":"https://ror.org/002h8g185","country_code":"GB","type":"education","lineage":["https://openalex.org/I51601045"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Manuchehr Soleimani","raw_affiliation_strings":["Engineering Tomography Laboratory (ETL), University of Bath, Bath, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-6341-9592","affiliations":[{"raw_affiliation_string":"Engineering Tomography Laboratory (ETL), University of Bath, Bath, United Kingdom","institution_ids":["https://openalex.org/I51601045"]}]},{"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":["Faculty of Transport and Computer Science, WSEI University, Lublin, Poland"],"raw_orcid":"https://orcid.org/0000-0003-1280-0622","affiliations":[{"raw_affiliation_string":"Faculty of Transport and Computer Science, WSEI University, Lublin, Poland","institution_ids":["https://openalex.org/I2799788900"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070349657"],"corresponding_institution_ids":["https://openalex.org/I8264552"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.3169419,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"873","last_page":"874"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13487","display_name":"Statistical and numerical algorithms","score":0.27219998836517334,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13487","display_name":"Statistical and numerical algorithms","score":0.27219998836517334,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14470","display_name":"Advanced Data Processing Techniques","score":0.27070000767707825,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12537","display_name":"Flow Measurement and Analysis","score":0.2671999931335449,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/wavelet","display_name":"Wavelet","score":0.6605021953582764},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6333832144737244},{"id":"https://openalex.org/keywords/scanner","display_name":"Scanner","score":0.604469358921051},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5096182823181152},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5027456283569336},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4023510813713074}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6605021953582764},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6333832144737244},{"id":"https://openalex.org/C2779751349","wikidata":"https://www.wikidata.org/wiki/Q1474480","display_name":"Scanner","level":2,"score":0.604469358921051},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5096182823181152},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5027456283569336},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4023510813713074}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3666025.3699414","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3666025.3699414","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3666025.3699414","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3666025.3699414","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3666025.3699414","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3666025.3699414","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.47999998927116394,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404034527.pdf","grobid_xml":"https://content.openalex.org/works/W4404034527.grobid-xml"},"referenced_works_count":2,"referenced_works":["https://openalex.org/W3034194810","https://openalex.org/W4319001295"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"The":[0,75,86,113,121,140],"main":[1],"goal":[2],"of":[3,15,21,30,49,56,70,83,90,97,100,147],"the":[4,50,54,98,126,144,148],"research":[5],"was":[6,35,73,115],"to":[7],"develop":[8],"an":[9,31,61],"effective,":[10],"highresolution":[11],"tomographic":[12,122],"apparatus":[13],"capable":[14],"non-invasively":[16],"capturing":[17],"real-time":[18],"internal":[19],"images":[20,133],"industrial":[22],"tank":[23],"reactors.":[24],"For":[25],"this":[26],"purpose,":[27],"a":[28,57,79,95,118,136],"prototype":[29,114],"ultrasonic":[32],"tomograph":[33],"(UST)":[34],"developed,":[36],"which":[37],"combines":[38],"innovative":[39,127],"design":[40],"solutions":[41],"and":[42,109],"modern":[43],"algorithmic":[44],"techniques.":[45],"A":[46,64],"special":[47],"feature":[48],"presented":[51,149],"solution":[52],"is":[53,78],"use":[55],"neural":[58,67,128,138],"network":[59,68],"with":[60,132],"unusual":[62],"architecture.":[63],"deep,":[65],"multi-branch":[66],"consisting":[69],"two":[71],"inputs":[72],"used.":[74],"first":[76],"input":[77,88],"120-element":[80],"vector":[81],"(sequence)":[82],"raw":[84,101],"measurements.":[85],"third":[87],"consists":[89],"three":[91],"sequences":[92],"obtained":[93,124,134],"as":[94],"result":[96],"transformation":[99],"measurements:":[102],"instantenous":[103],"frequency":[104],"(IF),":[105],"approximation":[106],"coefficients":[107,111],"(Ca),":[108],"detail":[110],"(Cd).":[112],"tested":[116],"on":[117],"real":[119],"model.":[120],"reconstructions":[123],"using":[125,135],"architecture":[129],"were":[130],"compared":[131],"standard":[137],"network.":[139],"results":[141],"clearly":[142],"confirm":[143],"high":[145],"effectiveness":[146],"approach.":[150]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
