{"id":"https://openalex.org/W4212966470","doi":"https://doi.org/10.1109/host49136.2021.9702286","title":"A Comparison of Neural Networks for PCB Component Segmentation","display_name":"A Comparison of Neural Networks for PCB Component Segmentation","publication_year":2021,"publication_date":"2021-12-12","ids":{"openalex":"https://openalex.org/W4212966470","doi":"https://doi.org/10.1109/host49136.2021.9702286"},"language":"en","primary_location":{"id":"doi:10.1109/host49136.2021.9702286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/host49136.2021.9702286","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Symposium on Hardware Oriented Security and Trust (HOST)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029290431","display_name":"Abinai Pasunuri","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abinai Pasunuri","raw_affiliation_strings":["University of Florida,Electrical and Computer Engineering Department,Gainesville,FL,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Florida,Electrical and Computer Engineering Department,Gainesville,FL,USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080074107","display_name":"Nathan Jessurun","orcid":"https://orcid.org/0000-0003-1693-3641"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nathan Jessurun","raw_affiliation_strings":["University of Florida,Electrical and Computer Engineering Department,Gainesville,FL,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Florida,Electrical and Computer Engineering Department,Gainesville,FL,USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040726498","display_name":"Olivia P. Dizon-Paradis","orcid":"https://orcid.org/0000-0002-6879-8624"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Olivia P. Dizon-Paradis","raw_affiliation_strings":["University of Florida,Electrical and Computer Engineering Department,Gainesville,FL,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Florida,Electrical and Computer Engineering Department,Gainesville,FL,USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085074016","display_name":"Navid Asadizanjani","orcid":"https://orcid.org/0000-0002-7097-4463"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Navid Asadizanjani","raw_affiliation_strings":["University of Florida,Electrical and Computer Engineering Department,Gainesville,FL,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Florida,Electrical and Computer Engineering Department,Gainesville,FL,USA","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I33213144"],"apc_list":null,"apc_paid":null,"fwci":0.7558,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.77822435,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"113","last_page":"123"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12971","display_name":"Material Properties and Processing","score":0.946399986743927,"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"}},{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.944599986076355,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.7749215364456177},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.618375837802887},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6028600931167603},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5483957529067993},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4824691116809845},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32725411653518677}],"concepts":[{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.7749215364456177},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.618375837802887},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6028600931167603},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5483957529067993},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4824691116809845},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32725411653518677},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"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":1,"locations":[{"id":"doi:10.1109/host49136.2021.9702286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/host49136.2021.9702286","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Symposium on Hardware Oriented Security and Trust (HOST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1495267108","https://openalex.org/W1498238238","https://openalex.org/W1686810756","https://openalex.org/W1745334888","https://openalex.org/W1901129140","https://openalex.org/W2059975159","https://openalex.org/W2068375500","https://openalex.org/W2091695913","https://openalex.org/W2147880316","https://openalex.org/W2161998562","https://openalex.org/W2193325189","https://openalex.org/W2194775991","https://openalex.org/W2200374509","https://openalex.org/W2412782625","https://openalex.org/W2531409750","https://openalex.org/W2560023338","https://openalex.org/W2592939477","https://openalex.org/W2609077090","https://openalex.org/W2735039185","https://openalex.org/W2810392541","https://openalex.org/W2883254424","https://openalex.org/W2962767316","https://openalex.org/W2963153291","https://openalex.org/W2963340466","https://openalex.org/W2963840672","https://openalex.org/W2964098128","https://openalex.org/W2964217532","https://openalex.org/W2985848463","https://openalex.org/W2998784361","https://openalex.org/W3026693286","https://openalex.org/W3038091703","https://openalex.org/W3081524416","https://openalex.org/W3082755608","https://openalex.org/W3105636206","https://openalex.org/W3112139896","https://openalex.org/W3117219596","https://openalex.org/W4301329587","https://openalex.org/W6637373629","https://openalex.org/W6639824700","https://openalex.org/W6682082992","https://openalex.org/W6687483927","https://openalex.org/W6687567705","https://openalex.org/W6694212129","https://openalex.org/W6696085341","https://openalex.org/W6715287400","https://openalex.org/W6728184133","https://openalex.org/W6730342312","https://openalex.org/W6737170303","https://openalex.org/W6737324727","https://openalex.org/W6740220579","https://openalex.org/W6743688458","https://openalex.org/W6752752494","https://openalex.org/W6755165833","https://openalex.org/W6770346532","https://openalex.org/W6774571572"],"related_works":["https://openalex.org/W2357256365","https://openalex.org/W2348502264","https://openalex.org/W2365486383","https://openalex.org/W2362059367","https://openalex.org/W2350084742","https://openalex.org/W2901443725","https://openalex.org/W2357988862","https://openalex.org/W1855558850","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"In":[0],"recent":[1,126],"years,":[2],"printed":[3],"circuit":[4],"board":[5],"(PCB)":[6],"assurance":[7,151],"has":[8],"become":[9],"increasingly":[10],"important.":[11],"One":[12],"method":[13],"of":[14,23,30,79,109],"addressing":[15],"this":[16,70,144],"need":[17],"is":[18,67],"through":[19],"extracting":[20],"the":[21,31,40,106],"bill":[22],"materials":[24],"(BoM)":[25],"from":[26,39,99,148],"an":[27],"optical":[28,87],"image":[29,59,65,112],"sample":[32],"and":[33,72,114,136],"comparing":[34],"it":[35,94],"to":[36,51,96,121],"reference":[37],"parts":[38],"board&#x0027;s":[41],"design.":[42],"This":[43,103],"requires":[44],"precise":[45],"knowledge":[46],"about":[47],"mounted":[48],"component":[49],"shapes":[50],"properly":[52],"account":[53],"for":[54,69],"various":[55],"BoM":[56],"properties.":[57],"Semantic":[58],"segmentation,":[60],"also":[61,154],"known":[62],"as":[63],"pixel-level":[64],"labeling,":[66],"ideal":[68],"task":[71],"already":[73],"widely":[74],"applied":[75],"in":[76,140],"a":[77,149],"multitude":[78],"applications":[80],"(e.g.":[81],"medical,":[82],"aerospace,":[83],"geospatial,":[84],"etc.).":[85],"However,":[86],"PCB":[88,111],"images":[89],"demonstrate":[90],"characteristics":[91],"which":[92],"make":[93],"difficult":[95],"apply":[97],"solutions":[98,117],"these":[100,123],"alternative":[101],"domains.":[102],"work":[104],"describes":[105],"challenging":[107],"nature":[108],"accurate":[110],"segmentation":[113],"why":[115],"existing":[116],"are":[118,138,153],"not":[119],"well-suited":[120],"meet":[122],"needs.":[124],"Several":[125],"techniques":[127],"leveraging":[128],"neural":[129],"networks,":[130],"namely":[131],"UNet,":[132],"DilatedNet,":[133],"DeepLab,":[134],"LinkNet,":[135],"ICNet":[137],"explored":[139],"their":[141],"capabilities":[142],"toward":[143],"purpose.":[145],"Relevant":[146],"impacts":[147],"hardware":[150],"perspective":[152],"analyzed.":[155]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
