{"id":"https://openalex.org/W33171730","doi":"https://doi.org/10.3390/s20216350","title":"Selma, osmansk\u00e1 princezna","display_name":"Selma, osmansk\u00e1 princezna","publication_year":1997,"publication_date":"1997-01-01","ids":{"openalex":"https://openalex.org/W33171730","doi":"https://doi.org/10.3390/s20216350","mag":"33171730"},"language":"en","primary_location":{"id":"mag:33171730","is_oa":false,"landing_page_url":"https://antikvariat-avion.cz/kniha/mourad-kenize-selma-osmanska-princezna-1997","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},"type":"article","indexed_in":[],"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/A5029396244","display_name":"Keniz\u00e9 Mourad","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Keniz\u00e9 Mourad","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5029396244"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01342335,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":"21","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12021","display_name":"Social and Educational Sciences","score":0.88919997215271,"subfield":{"id":"https://openalex.org/subfields/3304","display_name":"Education"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12021","display_name":"Social and Educational Sciences","score":0.88919997215271,"subfield":{"id":"https://openalex.org/subfields/3304","display_name":"Education"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.27867797017097473}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.27867797017097473}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:33171730","is_oa":false,"landing_page_url":"https://antikvariat-avion.cz/kniha/mourad-kenize-selma-osmanska-princezna-1997","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7739638940","display_name":null,"funder_award_id":"No.61805189","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"As":[0],"the":[1,8,59,66,82,89,99,131,140,149,164,178,182],"real":[2],"electromagnetic":[3],"environment":[4],"grows":[5],"complex":[6],"and":[7,27,76,129,153,187],"quantity":[9],"of":[10,22,61,139,184],"radar":[11,30,54,62,132,173,191],"signals":[12,175],"turns":[13],"massive,":[14],"traditional":[15],"methods,":[16],"which":[17,72],"require":[18],"a":[19,113],"large":[20],"amount":[21],"prior":[23],"knowledge,":[24],"are":[25,68,95,145,154],"time-consuming":[26],"ineffective":[28],"for":[29],"emitter":[31,63,133,174,192],"signal":[32,55,64,143,193],"recognition.":[33,56,194],"In":[34,104,135],"recent":[35],"years,":[36],"convolutional":[37,93,116,151],"neural":[38,117],"network":[39,118],"(CNN)":[40],"has":[41,181],"shown":[42],"its":[43],"superiority":[44],"in":[45,53,58,156,190],"recognition":[46,100,162],"so":[47,97],"that":[48,98,177],"experts":[49],"have":[50],"applied":[51],"it":[52],"However,":[57],"field":[60],"recognition,":[65],"data":[67],"usually":[69],"one-dimensional":[70,115],"(1-D),":[71],"takes":[73],"more":[74,126],"time":[75],"storage":[77],"space":[78],"than":[79],"by":[80,148,163],"using":[81],"original":[83],"two-dimensional":[84],"CNN":[85],"model":[86],"directly.":[87],"Moreover,":[88],"features":[90,128,138],"extracted":[91,146],"from":[92],"layers":[94,152],"redundant":[96],"accuracy":[101,186],"is":[102],"low.":[103],"order":[105],"to":[106,124,161],"solve":[107],"these":[108],"problems,":[109],"this":[110,136],"paper":[111],"proposes":[112],"novel":[114],"with":[119,158],"an":[120],"attention":[121,165],"mechanism":[122],"(CNN-1D-AM)":[123],"extract":[125],"discriminative":[127],"recognize":[130],"signals.":[134],"method,":[137],"given":[141],"1-D":[142,150],"sequences":[144],"directly":[147],"weighted":[155],"accordance":[157],"their":[159],"importance":[160],"unit.":[166],"The":[167],"experiments":[168],"based":[169],"on":[170],"seven":[171],"different":[172],"indicate":[176],"proposed":[179],"CNN-1D-AM":[180],"advantages":[183],"high":[185],"superior":[188],"performance":[189]},"counts_by_year":[],"updated_date":"2025-07-23T07:25:00.554090","created_date":"2016-06-24T00:00:00"}
