{"id":"https://openalex.org/W4324381745","doi":"https://doi.org/10.3390/s23063131","title":"Electromagnetic Wave Absorption in the Human Head: A Virtual Sensor Based on a Deep-Learning Model","display_name":"Electromagnetic Wave Absorption in the Human Head: A Virtual Sensor Based on a Deep-Learning Model","publication_year":2023,"publication_date":"2023-03-15","ids":{"openalex":"https://openalex.org/W4324381745","doi":"https://doi.org/10.3390/s23063131","pmid":"https://pubmed.ncbi.nlm.nih.gov/36991842"},"language":"en","primary_location":{"id":"doi:10.3390/s23063131","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23063131","pdf_url":"https://www.mdpi.com/1424-8220/23/6/3131/pdf?version=1678861574","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/1424-8220/23/6/3131/pdf?version=1678861574","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055031451","display_name":"Paolo Di Barba","orcid":"https://orcid.org/0000-0001-5293-1809"},"institutions":[{"id":"https://openalex.org/I25217355","display_name":"University of Pavia","ror":"https://ror.org/00s6t1f81","country_code":"IT","type":"education","lineage":["https://openalex.org/I25217355"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Paolo Di Barba","raw_affiliation_strings":["Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Via Ferrata 5, 27100 Pavia, Italy"],"raw_orcid":"https://orcid.org/0000-0001-5293-1809","affiliations":[{"raw_affiliation_string":"Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Via Ferrata 5, 27100 Pavia, Italy","institution_ids":["https://openalex.org/I25217355"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019307762","display_name":"\u0141ukasz Januszkiewicz","orcid":"https://orcid.org/0000-0001-6693-1009"},"institutions":[{"id":"https://openalex.org/I188884621","display_name":"Lodz University of Technology","ror":"https://ror.org/00s8fpf52","country_code":"PL","type":"education","lineage":["https://openalex.org/I188884621"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"\u0141ukasz Januszkiewicz","raw_affiliation_strings":["Institute of Electronics, Lodz University of Technology, Al. Politechniki 10, 93-590 Lodz, Poland"],"raw_orcid":"https://orcid.org/0000-0001-6693-1009","affiliations":[{"raw_affiliation_string":"Institute of Electronics, Lodz University of Technology, Al. Politechniki 10, 93-590 Lodz, Poland","institution_ids":["https://openalex.org/I188884621"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075541868","display_name":"Jaros\u0142aw Kawecki","orcid":null},"institutions":[{"id":"https://openalex.org/I188884621","display_name":"Lodz University of Technology","ror":"https://ror.org/00s8fpf52","country_code":"PL","type":"education","lineage":["https://openalex.org/I188884621"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Jaros\u0142aw Kawecki","raw_affiliation_strings":["Institute of Electronics, Lodz University of Technology, Al. Politechniki 10, 93-590 Lodz, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electronics, Lodz University of Technology, Al. Politechniki 10, 93-590 Lodz, Poland","institution_ids":["https://openalex.org/I188884621"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008776171","display_name":"Maria Evelina Mognaschi","orcid":"https://orcid.org/0000-0003-3300-0296"},"institutions":[{"id":"https://openalex.org/I25217355","display_name":"University of Pavia","ror":"https://ror.org/00s6t1f81","country_code":"IT","type":"education","lineage":["https://openalex.org/I25217355"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Maria Evelina Mognaschi","raw_affiliation_strings":["Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Via Ferrata 5, 27100 Pavia, Italy"],"raw_orcid":"https://orcid.org/0000-0003-3300-0296","affiliations":[{"raw_affiliation_string":"Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Via Ferrata 5, 27100 Pavia, Italy","institution_ids":["https://openalex.org/I25217355"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5008776171"],"corresponding_institution_ids":["https://openalex.org/I25217355"],"apc_list":{"value":2600,"currency":"CHF","value_usd":3137},"apc_paid":{"value":2600,"currency":"CHF","value_usd":3137},"fwci":0.3234,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.4605337,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"23","issue":"6","first_page":"3131","last_page":"3131"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11932","display_name":"Wireless Body Area Networks","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T11932","display_name":"Wireless Body Area Networks","score":0.9988999962806702,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9987000226974487,"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/T10874","display_name":"Electromagnetic Fields and Biological Effects","score":0.9984999895095825,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.7672909498214722},{"id":"https://openalex.org/keywords/human-head","display_name":"Human head","score":0.6985130310058594},{"id":"https://openalex.org/keywords/electromagnetic-radiation","display_name":"Electromagnetic radiation","score":0.604618489742279},{"id":"https://openalex.org/keywords/finite-difference-time-domain-method","display_name":"Finite-difference time-domain method","score":0.5714372992515564},{"id":"https://openalex.org/keywords/head","display_name":"Head (geology)","score":0.5454651713371277},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5399863719940186},{"id":"https://openalex.org/keywords/absorption","display_name":"Absorption (acoustics)","score":0.5321806073188782},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.49739888310432434},{"id":"https://openalex.org/keywords/maxwells-equations","display_name":"Maxwell's equations","score":0.48946845531463623},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.47710922360420227},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.4342305064201355},{"id":"https://openalex.org/keywords/electromagnetic-field","display_name":"Electromagnetic field","score":0.43215397000312805},{"id":"https://openalex.org/keywords/wave-equation","display_name":"Wave equation","score":0.42757388949394226},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41724133491516113},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.3785952925682068},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.34163764119148254},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2945899963378906},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.25571393966674805},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24991711974143982},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12715578079223633}],"concepts":[{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.7672909498214722},{"id":"https://openalex.org/C2780549717","wikidata":"https://www.wikidata.org/wiki/Q3409626","display_name":"Human head","level":3,"score":0.6985130310058594},{"id":"https://openalex.org/C149773537","wikidata":"https://www.wikidata.org/wiki/Q12969754","display_name":"Electromagnetic radiation","level":2,"score":0.604618489742279},{"id":"https://openalex.org/C184880428","wikidata":"https://www.wikidata.org/wiki/Q1417308","display_name":"Finite-difference time-domain method","level":2,"score":0.5714372992515564},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.5454651713371277},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5399863719940186},{"id":"https://openalex.org/C125287762","wikidata":"https://www.wikidata.org/wiki/Q1758948","display_name":"Absorption (acoustics)","level":2,"score":0.5321806073188782},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.49739888310432434},{"id":"https://openalex.org/C59282198","wikidata":"https://www.wikidata.org/wiki/Q51501","display_name":"Maxwell's equations","level":2,"score":0.48946845531463623},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.47710922360420227},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.4342305064201355},{"id":"https://openalex.org/C28843909","wikidata":"https://www.wikidata.org/wiki/Q177625","display_name":"Electromagnetic field","level":2,"score":0.43215397000312805},{"id":"https://openalex.org/C59696629","wikidata":"https://www.wikidata.org/wiki/Q193846","display_name":"Wave equation","level":2,"score":0.42757388949394226},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41724133491516113},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3785952925682068},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.34163764119148254},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2945899963378906},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.25571393966674805},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24991711974143982},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12715578079223633},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004574","descriptor_name":"Electromagnetic Fields","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004574","descriptor_name":"Electromagnetic Fields","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004574","descriptor_name":"Electromagnetic Fields","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006257","descriptor_name":"Head","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006257","descriptor_name":"Head","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006257","descriptor_name":"Head","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060733","descriptor_name":"Electromagnetic Radiation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060733","descriptor_name":"Electromagnetic Radiation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060733","descriptor_name":"Electromagnetic Radiation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s23063131","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23063131","pdf_url":"https://www.mdpi.com/1424-8220/23/6/3131/pdf?version=1678861574","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:36991842","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36991842","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":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:10056223","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10056223","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10056223/pdf/sensors-23-03131.pdf","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"},{"id":"pmh:oai:doaj.org/article:d3c98a8a117842459b28892a3499d025","is_oa":true,"landing_page_url":"https://doaj.org/article/d3c98a8a117842459b28892a3499d025","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 23, Iss 6, p 3131 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/6/3131/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23063131","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; Volume 23; Issue 6; Pages: 3131","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23063131","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23063131","pdf_url":"https://www.mdpi.com/1424-8220/23/6/3131/pdf?version=1678861574","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":[{"score":0.75,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4324381745.pdf","grobid_xml":"https://content.openalex.org/works/W4324381745.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1981355531","https://openalex.org/W2022981781","https://openalex.org/W2026039351","https://openalex.org/W2032004175","https://openalex.org/W2054430136","https://openalex.org/W2075149567","https://openalex.org/W2130185063","https://openalex.org/W2999000694","https://openalex.org/W2999315501","https://openalex.org/W3041767184","https://openalex.org/W3098841777","https://openalex.org/W3135260045","https://openalex.org/W4205556338","https://openalex.org/W4285148366","https://openalex.org/W4317794978"],"related_works":["https://openalex.org/W2662688012","https://openalex.org/W2612335281","https://openalex.org/W2122040273","https://openalex.org/W2156084679","https://openalex.org/W2136302120","https://openalex.org/W4284708734","https://openalex.org/W2598635572","https://openalex.org/W3154979353","https://openalex.org/W2083856348","https://openalex.org/W2804011919"],"abstract_inverted_index":{"Determining":[0],"the":[1,9,17,33,46,57,65,103,110,114,118,131,138,141,159],"amount":[2],"of":[3,19,32,48,56,68,83,101,113,120,130,140],"electromagnetic":[4,69],"wave":[5,70],"energy":[6],"absorbed":[7],"by":[8,158],"human":[10,73,115],"body":[11,34],"is":[12,42,77],"an":[13],"important":[14],"issue":[15],"in":[16,45,72,99,109,150],"analysis":[18],"wireless":[20],"systems.":[21],"Typically,":[22],"numerical":[23,30],"methods":[24],"based":[25,161],"on":[26,162],"Maxwell's":[27,163],"equations":[28],"and":[29,105,133,144],"models":[31],"are":[35,153],"used":[36],"for":[37,51,127,137],"this":[38,63,151],"purpose.":[39],"This":[40],"approach":[41],"time-consuming,":[43],"especially":[44],"case":[47],"high":[49],"frequencies,":[50],"which":[52],"a":[53,81,94],"fine":[54],"discretization":[55],"model":[58,67],"should":[59],"be":[60],"used.":[61],"In":[62,79],"paper,":[64],"surrogate":[66],"absorption":[71],"body,":[74],"utilizing":[75],"Deep-Learning,":[76],"proposed.":[78],"particular,":[80],"family":[82],"data":[84],"from":[85],"finite-difference":[86],"time-domain":[87],"analyses":[88],"makes":[89],"it":[90],"possible":[91],"to":[92,155],"train":[93],"Convolutional":[95],"Neural":[96],"Network":[97],"(CNN),":[98],"view":[100],"recovering":[102],"average":[104,132],"maximum":[106,134],"power":[107,135],"density":[108,136],"cross-section":[111],"region":[112],"head":[116,143],"at":[117],"frequency":[119],"3.5":[121],"GHz.":[122],"The":[123,147],"developed":[124],"method":[125,160],"allows":[126],"quick":[128],"determination":[129],"area":[139],"entire":[142],"eyeball":[145],"areas.":[146],"results":[148],"obtained":[149,157],"way":[152],"similar":[154],"those":[156],"equations.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
