{"id":"https://openalex.org/W2800716714","doi":"https://doi.org/10.1109/iscas.2018.8350916","title":"A Machine Learning Approach for Material Classification in MMW Imaging Systems based on Frequency Spectra","display_name":"A Machine Learning Approach for Material Classification in MMW Imaging Systems based on Frequency Spectra","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2800716714","doi":"https://doi.org/10.1109/iscas.2018.8350916","mag":"2800716714"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2018.8350916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2018.8350916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5068953022","display_name":"Ali Shayei","orcid":null},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Ali Shayei","raw_affiliation_strings":["School of Electrical Engineering, Sharif University of Technology, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031764000","display_name":"Mehryar Abbasi","orcid":"https://orcid.org/0000-0002-4372-0775"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mehryar Abbasi","raw_affiliation_strings":["School of Electrical Engineering, Sharif University of Technology, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076787036","display_name":"Ali Habiban","orcid":null},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Ali Habiban","raw_affiliation_strings":["School of Electrical Engineering, Sharif University of Technology, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065105603","display_name":"Mahdi Shabany","orcid":"https://orcid.org/0000-0002-8625-9034"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mahdi Shabany","raw_affiliation_strings":["School of Electrical Engineering, Sharif University of Technology, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039711390","display_name":"Zahra Kavehvash","orcid":"https://orcid.org/0000-0002-7636-6100"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Zahra Kavehvash","raw_affiliation_strings":["School of Electrical Engineering, Sharif University of Technology, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I133529467"],"apc_list":null,"apc_paid":null,"fwci":0.7793,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61815175,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"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/T10752","display_name":"Terahertz technology and applications","score":0.9995999932289124,"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/T10752","display_name":"Terahertz technology and applications","score":0.9995999932289124,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11160","display_name":"Acoustic Wave Resonator Technologies","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/computer-science","display_name":"Computer science","score":0.6432093381881714},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6235564351081848},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5883178114891052},{"id":"https://openalex.org/keywords/extremely-high-frequency","display_name":"Extremely high frequency","score":0.5694465637207031},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5634185075759888},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.5220727324485779},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5121629238128662},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4956473112106323},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4580463767051697},{"id":"https://openalex.org/keywords/alarm","display_name":"ALARM","score":0.4400627017021179},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35325735807418823},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33730074763298035},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15881386399269104},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1410638988018036},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1118655800819397},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10881271958351135},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.07410851120948792}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6432093381881714},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6235564351081848},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5883178114891052},{"id":"https://openalex.org/C45764600","wikidata":"https://www.wikidata.org/wiki/Q570342","display_name":"Extremely high frequency","level":2,"score":0.5694465637207031},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5634185075759888},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.5220727324485779},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5121629238128662},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4956473112106323},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4580463767051697},{"id":"https://openalex.org/C2779119184","wikidata":"https://www.wikidata.org/wiki/Q294350","display_name":"ALARM","level":2,"score":0.4400627017021179},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35325735807418823},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33730074763298035},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15881386399269104},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1410638988018036},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1118655800819397},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10881271958351135},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.07410851120948792},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2018.8350916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2018.8350916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W244175342","https://openalex.org/W1493808029","https://openalex.org/W1500471702","https://openalex.org/W1977654448","https://openalex.org/W1977796249","https://openalex.org/W1995341919","https://openalex.org/W2036281626","https://openalex.org/W2052143154","https://openalex.org/W2139212933","https://openalex.org/W2288508985","https://openalex.org/W2614604252","https://openalex.org/W2768999906","https://openalex.org/W6609360967","https://openalex.org/W6629509603","https://openalex.org/W6745699282"],"related_works":["https://openalex.org/W1584123598","https://openalex.org/W2731305060","https://openalex.org/W2372003537","https://openalex.org/W2732807254","https://openalex.org/W2587670262","https://openalex.org/W3037375888","https://openalex.org/W2366730739","https://openalex.org/W4378419970","https://openalex.org/W3121346907","https://openalex.org/W4379535633"],"abstract_inverted_index":{"In":[0],"this":[1,28],"paper,":[2],"a":[3],"new":[4],"approach":[5],"toward":[6],"material":[7],"detection":[8],"and":[9,79],"classification,":[10],"based":[11,112],"on":[12,113],"the":[13,53,90,114],"spectral":[14],"analysis":[15],"of":[16,27,44,51,72,93],"millimeter-wave":[17],"images,":[18],"using":[19,41],"machine":[20,55],"learning":[21],"technique":[22],"is":[23,30,37,68,84],"proposed.":[24],"The":[25,65,81,100],"focus":[26],"paper":[29],"to":[31],"detect":[32,57],"concealed":[33,58],"dangerous":[34,59],"materials.":[35],"It":[36],"shown":[38],"that":[39],"by":[40],"adequate":[42],"number":[43],"training":[45,66,82],"data":[46,83],"captured":[47],"from":[48],"different":[49],"materials":[50,60,71,111],"interest,":[52],"trained":[54],"could":[56],"with":[61,70,86,96],"an":[62],"acceptable":[63],"accuracy.":[64],"phase":[67],"performed":[69],"varying":[73],"thickness,":[74],"shape,":[75],"background,":[76],"covering":[77],"layers":[78],"distance.":[80],"collected":[85],"laboratory":[87],"experiments":[88],"in":[89,108],"frequency":[91,98],"range":[92],"27-31":[94],"GHz":[95],"51":[97],"samples.":[99],"results":[101],"show":[102],"more":[103],"than":[104],"92":[105],"percent":[106],"accuracy":[107],"differentiating":[109],"various":[110],"true-alarm-rate":[115],"(TAR)":[116],"metric.":[117]},"counts_by_year":[{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
