{"id":"https://openalex.org/W1604180121","doi":"https://doi.org/10.1109/saci.2015.7208185","title":"Automatic detection of meteors in spectrograms using artificial neural networks","display_name":"Automatic detection of meteors in spectrograms using artificial neural networks","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W1604180121","doi":"https://doi.org/10.1109/saci.2015.7208185","mag":"1604180121"},"language":"en","primary_location":{"id":"doi:10.1109/saci.2015.7208185","is_oa":false,"landing_page_url":"https://doi.org/10.1109/saci.2015.7208185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 10th Jubilee International Symposium on Applied Computational Intelligence and Informatics","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/A5062414873","display_name":"Victor \u015etefan Roman","orcid":null},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Victor Stefan Roman","raw_affiliation_strings":["Dept. of Automatic Control and Systems Engineering, Politehnica University of Bucharest, Bucharest, Romania","Department of Automatic Control and Systems Engineering, Politehnica University of Bucharest, Bucharest, Romania"],"affiliations":[{"raw_affiliation_string":"Dept. of Automatic Control and Systems Engineering, Politehnica University of Bucharest, Bucharest, Romania","institution_ids":["https://openalex.org/I61641377"]},{"raw_affiliation_string":"Department of Automatic Control and Systems Engineering, Politehnica University of Bucharest, Bucharest, Romania","institution_ids":["https://openalex.org/I61641377"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032995335","display_name":"C\u0103t\u0103lin Buiu","orcid":"https://orcid.org/0000-0001-7159-8036"},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Catalin Buiu","raw_affiliation_strings":["Dept. of Automatic Control and Systems Engineering, Politehnica University of Bucharest, Bucharest, Romania","Department of Automatic Control and Systems Engineering, Politehnica University of Bucharest, Bucharest, Romania"],"affiliations":[{"raw_affiliation_string":"Dept. of Automatic Control and Systems Engineering, Politehnica University of Bucharest, Bucharest, Romania","institution_ids":["https://openalex.org/I61641377"]},{"raw_affiliation_string":"Department of Automatic Control and Systems Engineering, Politehnica University of Bucharest, Bucharest, Romania","institution_ids":["https://openalex.org/I61641377"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5062414873"],"corresponding_institution_ids":["https://openalex.org/I61641377"],"apc_list":null,"apc_paid":null,"fwci":0.5744,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.65246035,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"131","last_page":"134"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9492999911308289,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9492999911308289,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9477999806404114,"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/T13885","display_name":"Geophysics and Sensor Technology","score":0.946399986743927,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/meteor","display_name":"Meteor (satellite)","score":0.8612346649169922},{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.8336055278778076},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7940886616706848},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6724346280097961},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.6416386365890503},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5797656774520874},{"id":"https://openalex.org/keywords/meteoroid","display_name":"Meteoroid","score":0.5678339004516602},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4740735590457916},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.07063531875610352}],"concepts":[{"id":"https://openalex.org/C2778105581","wikidata":"https://www.wikidata.org/wiki/Q1925316","display_name":"Meteor (satellite)","level":2,"score":0.8612346649169922},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.8336055278778076},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7940886616706848},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6724346280097961},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.6416386365890503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5797656774520874},{"id":"https://openalex.org/C10393806","wikidata":"https://www.wikidata.org/wiki/Q7012","display_name":"Meteoroid","level":2,"score":0.5678339004516602},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4740735590457916},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.07063531875610352},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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/saci.2015.7208185","is_oa":false,"landing_page_url":"https://doi.org/10.1109/saci.2015.7208185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 10th Jubilee International Symposium on Applied Computational Intelligence and Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1974480026","https://openalex.org/W2053222006","https://openalex.org/W2086647582","https://openalex.org/W2149825812","https://openalex.org/W3127420795","https://openalex.org/W3207342693","https://openalex.org/W4300402905"],"related_works":["https://openalex.org/W2921958040","https://openalex.org/W2102855826","https://openalex.org/W4376255072","https://openalex.org/W2155013590","https://openalex.org/W2021467165","https://openalex.org/W2064694358","https://openalex.org/W2061282546","https://openalex.org/W2597487176","https://openalex.org/W2792493134","https://openalex.org/W4246598456"],"abstract_inverted_index":{"Artificial":[0],"neural":[1,64,89],"networks":[2,65,90],"are":[3,49,66,78],"widely":[4],"used":[5,21],"in":[6,92],"classification":[7],"problems":[8],"due":[9],"to":[10,22],"their":[11,74],"adaptability.":[12],"In":[13,43],"this":[14,93],"paper,":[15],"an":[16],"original":[17],"multi-layer":[18],"perceptron":[19],"is":[20,95],"automatically":[23],"detect":[24],"meteors":[25],"within":[26],"radio":[27],"recordings.":[28],"The":[29,80],"approach":[30],"presented":[31],"can":[32],"be":[33],"divided":[34],"into":[35],"two":[36],"stages:":[37],"data":[38,45],"preparation":[39,46],"and":[40,73],"meteor":[41,61,75,85],"detection.":[42],"the":[44,55,60,69,88],"stage,":[47,63],"samples":[48,86],"built":[50],"from":[51],"a":[52],"number":[53],"of":[54,82],"spectrogram's":[56],"vertical":[57],"lines.":[58],"During":[59],"detection":[62,76],"trained":[67,91],"using":[68],"inputs":[70],"previously":[71],"extracted,":[72],"capabilities":[77],"tested.":[79],"rate":[81],"correctly":[83],"detected":[84],"by":[87],"paper":[94],"over":[96],"80%.":[97]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
