{"id":"https://openalex.org/W2996884220","doi":"https://doi.org/10.1109/access.2019.2962222","title":"Performance Evaluation of Machine Learning in Wireless Connected Robotics Swarms","display_name":"Performance Evaluation of Machine Learning in Wireless Connected Robotics Swarms","publication_year":2019,"publication_date":"2019-12-31","ids":{"openalex":"https://openalex.org/W2996884220","doi":"https://doi.org/10.1109/access.2019.2962222","mag":"2996884220"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2962222","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2962222","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08945153.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08945153.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018710096","display_name":"Qiao Tian","orcid":"https://orcid.org/0000-0001-8177-7724"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiao Tian","raw_affiliation_strings":["College of Computer Science and Technology, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0001-8177-7724","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070909438","display_name":"Haojun Zhao","orcid":"https://orcid.org/0000-0003-2578-9733"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haojun Zhao","raw_affiliation_strings":["College of Information and Communication, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0003-2578-9733","affiliations":[{"raw_affiliation_string":"College of Information and Communication, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038594863","display_name":"Yun Lin","orcid":"https://orcid.org/0000-0003-1379-9301"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Lin","raw_affiliation_strings":["College of Information and Communication, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0003-1379-9301","affiliations":[{"raw_affiliation_string":"College of Information and Communication, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024972631","display_name":"Fengjun Xiao","orcid":"https://orcid.org/0000-0002-4114-4209"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengjun Xiao","raw_affiliation_strings":["College of Public Administration, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4114-4209","affiliations":[{"raw_affiliation_string":"College of Public Administration, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.17387283,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"8","issue":null,"first_page":"1790","last_page":"1802"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9998999834060669,"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":0.9998999834060669,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9682999849319458,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9510999917984009,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/boosting","display_name":"Boosting (machine learning)","score":0.8374123573303223},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7475723624229431},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6960588097572327},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6721665263175964},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6514527201652527},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6452539563179016},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.6294694542884827},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.5346687436103821},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4294433891773224},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.4256262183189392},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3748742938041687},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.3054913282394409},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09211957454681396}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.8374123573303223},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7475723624229431},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6960588097572327},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6721665263175964},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6514527201652527},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6452539563179016},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.6294694542884827},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.5346687436103821},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4294433891773224},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.4256262183189392},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3748742938041687},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.3054913282394409},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09211957454681396},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2962222","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2962222","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08945153.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c1446b48eb2549d6b36e9f8f53c100d8","is_oa":true,"landing_page_url":"https://doaj.org/article/c1446b48eb2549d6b36e9f8f53c100d8","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":"IEEE Access, Vol 8, Pp 1790-1802 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2962222","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2962222","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08945153.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.44999998807907104,"display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G1582923779","display_name":"\u901a\u4fe1\u8bbe\u5907\u5c04\u9891\u6307\u7eb9\u4ea7\u751f\u673a\u7406\u53ca\u5176\u4e2a\u4f53\u8bc6\u522b\u6280\u672f\u7814\u7a76","funder_award_id":"61771154","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5053701041","display_name":null,"funder_award_id":"HEUCFG201830","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2996884220.pdf","grobid_xml":"https://content.openalex.org/works/W2996884220.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W1482451543","https://openalex.org/W1548832181","https://openalex.org/W1988790447","https://openalex.org/W2005330159","https://openalex.org/W2053529851","https://openalex.org/W2059424674","https://openalex.org/W2071490777","https://openalex.org/W2076621609","https://openalex.org/W2091815971","https://openalex.org/W2105405775","https://openalex.org/W2109094355","https://openalex.org/W2109690159","https://openalex.org/W2113242816","https://openalex.org/W2124584634","https://openalex.org/W2129812935","https://openalex.org/W2145376937","https://openalex.org/W2147735901","https://openalex.org/W2150757437","https://openalex.org/W2170778725","https://openalex.org/W2185840184","https://openalex.org/W2288090062","https://openalex.org/W2296225892","https://openalex.org/W2414767909","https://openalex.org/W2545851563","https://openalex.org/W2555500570","https://openalex.org/W2556272640","https://openalex.org/W2576951425","https://openalex.org/W2658353027","https://openalex.org/W2726994734","https://openalex.org/W2765852770","https://openalex.org/W2770057541","https://openalex.org/W2772387500","https://openalex.org/W2784220409","https://openalex.org/W2792343096","https://openalex.org/W2792667426","https://openalex.org/W2793408139","https://openalex.org/W2798381092","https://openalex.org/W2889019540","https://openalex.org/W2899086481","https://openalex.org/W2907412207","https://openalex.org/W2908997014","https://openalex.org/W2943652919","https://openalex.org/W2964333607","https://openalex.org/W3144802151","https://openalex.org/W6676547869","https://openalex.org/W6686656927","https://openalex.org/W6732242560","https://openalex.org/W6749152665","https://openalex.org/W6757355660","https://openalex.org/W6989232281"],"related_works":["https://openalex.org/W2073883415","https://openalex.org/W3080944905","https://openalex.org/W2089304832","https://openalex.org/W1976812808","https://openalex.org/W2652414671","https://openalex.org/W138272716","https://openalex.org/W2086720713","https://openalex.org/W2122938730","https://openalex.org/W2014852328","https://openalex.org/W2100805904"],"abstract_inverted_index":{"The":[0,93],"transmission":[1],"and":[2,8,19,68,91,110,113],"negotiation":[3],"of":[4,33,58,72,104,137,146],"the":[5,9,14,31,37,42,56,78,85,97,102,117,129,134,138,144,147],"robot":[6],"swarms":[7],"technical":[10],"support":[11],"provided":[12],"by":[13,101],"communication":[15],"technology":[16],"are":[17,116],"inseparable,":[18],"modulation":[20,62,79],"recognition":[21],"plays":[22],"an":[23],"important":[24],"role":[25],"in":[26,61],"this":[27,51,53],"transmission.":[28],"Due":[29],"to":[30,40],"diversity":[32],"current":[34],"classifiers,":[35],"choosing":[36],"correct":[38],"classifier":[39,66,120,139],"improve":[41],"classification":[43],"effect":[44],"has":[45],"become":[46],"a":[47,70],"key":[48],"issue.":[49],"To":[50],"end,":[52],"paper":[54],"explores":[55],"performance":[57,136,149],"different":[59,74],"classifiers":[60,76,99,106],"recognition,":[63],"selects":[64],"six":[65],"families,":[67],"compares":[69],"total":[71],"77":[73],"single":[75],"on":[77,84],"dataset,":[80],"which":[81],"is":[82,107],"implemented":[83],"following":[86],"three":[87,118],"platforms:":[88],"Weka,":[89],"Python":[90],"MATLAB.":[92],"results":[94],"show":[95],"that":[96,127],"strong":[98],"formed":[100],"combination":[103],"weak":[105],"very":[108],"effective,":[109],"Boosting,":[111],"Bagging,":[112],"Random":[114],"Forest":[115],"best":[119],"families.":[121],"In":[122],"addition,":[123],"it":[124],"was":[125],"found":[126],"as":[128],"signal-to-noise":[130],"ratio":[131],"(SNR)":[132],"increases,":[133],"overall":[135],"families":[140,148],"gradually":[141],"improves,":[142],"but":[143],"ranking":[145],"remains":[150],"consistent.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}