{"id":"https://openalex.org/W4406457916","doi":"https://doi.org/10.1109/bigdata62323.2024.10825178","title":"Leveraging Big Data Technologies for Practical Radio Frequency Fingerprinting Applications","display_name":"Leveraging Big Data Technologies for Practical Radio Frequency Fingerprinting Applications","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406457916","doi":"https://doi.org/10.1109/bigdata62323.2024.10825178"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","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/A5043201461","display_name":"Stefan Kunze","orcid":null},"institutions":[{"id":"https://openalex.org/I83041830","display_name":"Deggendorf Institute of Technology","ror":"https://ror.org/02kw5st29","country_code":"DE","type":"education","lineage":["https://openalex.org/I83041830"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Stefan Kunze","raw_affiliation_strings":["Deggendorf Institute of Technology,Institute for Applied Informatics,Freyung,Germany"],"affiliations":[{"raw_affiliation_string":"Deggendorf Institute of Technology,Institute for Applied Informatics,Freyung,Germany","institution_ids":["https://openalex.org/I83041830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013238604","display_name":"Wolfgang Dorner","orcid":"https://orcid.org/0000-0003-3324-2316"},"institutions":[{"id":"https://openalex.org/I83041830","display_name":"Deggendorf Institute of Technology","ror":"https://ror.org/02kw5st29","country_code":"DE","type":"education","lineage":["https://openalex.org/I83041830"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wolfgang Dorner","raw_affiliation_strings":["Deggendorf Institute of Technology,Institute for Applied Informatics,Freyung,Germany"],"affiliations":[{"raw_affiliation_string":"Deggendorf Institute of Technology,Institute for Applied Informatics,Freyung,Germany","institution_ids":["https://openalex.org/I83041830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5043201461"],"corresponding_institution_ids":["https://openalex.org/I83041830"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23679499,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"8225","last_page":"8226"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9970999956130981,"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"}},"topics":[{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9970999956130981,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9955000281333923,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7461187839508057},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.49788904190063477},{"id":"https://openalex.org/keywords/radio-frequency","display_name":"Radio frequency","score":0.497052937746048},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.23817485570907593},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1574496030807495}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7461187839508057},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.49788904190063477},{"id":"https://openalex.org/C74064498","wikidata":"https://www.wikidata.org/wiki/Q3396184","display_name":"Radio frequency","level":2,"score":0.497052937746048},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.23817485570907593},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1574496030807495}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","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":6,"referenced_works":["https://openalex.org/W3004340854","https://openalex.org/W3095910127","https://openalex.org/W4206776951","https://openalex.org/W4220943610","https://openalex.org/W4308655556","https://openalex.org/W4389371084"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4390608645","https://openalex.org/W4405901645","https://openalex.org/W4394895745","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351"],"abstract_inverted_index":{"Radio":[0],"frequency":[1,83],"fingerprinting":[2,84],"is":[3,31],"an":[4],"emerging":[5],"research":[6,30],"field":[7,69],"that":[8],"made":[9],"a":[10,25],"big":[11,77],"leap":[12],"with":[13],"the":[14,68,86],"adoption":[15],"of":[16,24,48,51],"deep":[17],"learning,":[18],"and":[19,46,53],"practicability":[20],"issues":[21],"became":[22],"more":[23],"focus,":[26],"lately.":[27],"Nevertheless,":[28],"further":[29],"necessary":[32],"to":[33,88],"adopt":[34],"practical,":[35],"real-world":[36,89],"solutions.":[37],"Big":[38],"data":[39,52,78],"technologies":[40],"allow":[41],"for":[42],"enhanced":[43],"collection,":[44],"processing":[45],"analysis":[47],"vast":[49],"amounts":[50],"are":[54,91],"well":[55,71],"established":[56],"in":[57,67],"many":[58],"fields":[59],"by":[60],"now.":[61],"In":[62],"this":[63],"paper,":[64],"current":[65],"challenges":[66],"as":[70,72],"various":[73],"considerations":[74],"about":[75],"how":[76],"approaches":[79],"can":[80],"benefit":[81],"radio":[82],"on":[85],"way":[87],"applications":[90],"presented.":[92]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
