{"id":"https://openalex.org/W4406716554","doi":"https://doi.org/10.3389/frai.2024.1403187","title":"Self-trainable and adaptive sensor intelligence for selective data generation","display_name":"Self-trainable and adaptive sensor intelligence for selective data generation","publication_year":2025,"publication_date":"2025-01-22","ids":{"openalex":"https://openalex.org/W4406716554","doi":"https://doi.org/10.3389/frai.2024.1403187","pmid":"https://pubmed.ncbi.nlm.nih.gov/39911916"},"language":"en","primary_location":{"id":"doi:10.3389/frai.2024.1403187","is_oa":true,"landing_page_url":"https://doi.org/10.3389/frai.2024.1403187","pdf_url":"https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2024.1403187/pdf","source":{"id":"https://openalex.org/S4210197006","display_name":"Frontiers in Artificial Intelligence","issn_l":"2624-8212","issn":["2624-8212"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2024.1403187/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062366166","display_name":"Arghavan Rezvani","orcid":"https://orcid.org/0000-0002-1012-5785"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arghavan Rezvani","raw_affiliation_strings":["Donald Bren School of Information and Computer Sciences, University of California, Irvine, Irvine, CA, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Donald Bren School of Information and Computer Sciences, University of California, Irvine, Irvine, CA, United States","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101646249","display_name":"Wenjun Huang","orcid":"https://orcid.org/0000-0003-4520-4827"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenjun Huang","raw_affiliation_strings":["Donald Bren School of Information and Computer Sciences, University of California, Irvine, Irvine, CA, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Donald Bren School of Information and Computer Sciences, University of California, Irvine, Irvine, CA, United States","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040624202","display_name":"Hanning Chen","orcid":"https://orcid.org/0000-0003-3568-8039"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hanning Chen","raw_affiliation_strings":["Donald Bren School of Information and Computer Sciences, University of California, Irvine, Irvine, CA, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Donald Bren School of Information and Computer Sciences, University of California, Irvine, Irvine, CA, United States","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107947136","display_name":"Yang Ni","orcid":"https://orcid.org/0000-0003-0794-1949"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Ni","raw_affiliation_strings":["Donald Bren School of Information and Computer Sciences, University of California, Irvine, Irvine, CA, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Donald Bren School of Information and Computer Sciences, University of California, Irvine, Irvine, CA, United States","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033221192","display_name":"Mohsen Imani","orcid":"https://orcid.org/0000-0002-5761-0622"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mohsen Imani","raw_affiliation_strings":["Donald Bren School of Information and Computer Sciences, University of California, Irvine, Irvine, CA, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Donald Bren School of Information and Computer Sciences, University of California, Irvine, Irvine, CA, United States","institution_ids":["https://openalex.org/I204250578"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5033221192"],"corresponding_institution_ids":["https://openalex.org/I204250578"],"apc_list":{"value":1150,"currency":"USD","value_usd":1150},"apc_paid":{"value":1150,"currency":"USD","value_usd":1150},"fwci":1.197,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.76472287,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"7","issue":null,"first_page":"1403187","last_page":"1403187"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.7733110189437866},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.6719380617141724},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.6264835596084595},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5669775605201721},{"id":"https://openalex.org/keywords/data-transmission","display_name":"Data transmission","score":0.5336151123046875},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5278104543685913},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.48848140239715576},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4867558479309082},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.48009899258613586},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4589653015136719},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.42954036593437195},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4262691140174866},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.411255419254303},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12389317154884338},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11353534460067749}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7733110189437866},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.6719380617141724},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.6264835596084595},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5669775605201721},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.5336151123046875},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5278104543685913},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.48848140239715576},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4867558479309082},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.48009899258613586},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4589653015136719},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.42954036593437195},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4262691140174866},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.411255419254303},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12389317154884338},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11353534460067749},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3389/frai.2024.1403187","is_oa":true,"landing_page_url":"https://doi.org/10.3389/frai.2024.1403187","pdf_url":"https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2024.1403187/pdf","source":{"id":"https://openalex.org/S4210197006","display_name":"Frontiers in Artificial Intelligence","issn_l":"2624-8212","issn":["2624-8212"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence","raw_type":"journal-article"},{"id":"pmid:39911916","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39911916","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":"Frontiers in artificial intelligence","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11794785","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11794785","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11794785/pdf/frai-07-1403187.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":"Front Artif Intell","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:baa902ed5d2c4220b4e498aaa22ac159","is_oa":true,"landing_page_url":"https://doaj.org/article/baa902ed5d2c4220b4e498aaa22ac159","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":"Frontiers in Artificial Intelligence, Vol 7 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3389/frai.2024.1403187","is_oa":true,"landing_page_url":"https://doi.org/10.3389/frai.2024.1403187","pdf_url":"https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2024.1403187/pdf","source":{"id":"https://openalex.org/S4210197006","display_name":"Frontiers in Artificial Intelligence","issn_l":"2624-8212","issn":["2624-8212"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G1036738569","display_name":null,"funder_award_id":"2319198","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1875902628","display_name":null,"funder_award_id":"W911NF2410360","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G4560043218","display_name":null,"funder_award_id":"2321840","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4720003262","display_name":null,"funder_award_id":"N00014-22","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G5328310267","display_name":null,"funder_award_id":"2235472","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5902605455","display_name":null,"funder_award_id":"2312517","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6098521345","display_name":null,"funder_award_id":"FA9550","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G6604890474","display_name":null,"funder_award_id":"FA9550-22-1-0253","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G8017170229","display_name":null,"funder_award_id":"N00014-21-1-2225","funder_id":"https://openalex.org/F4320306087","funder_display_name":"Semiconductor Research Corporation"},{"id":"https://openalex.org/G8134046633","display_name":null,"funder_award_id":"N00014-22-1-2067","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G8862787963","display_name":null,"funder_award_id":"2127780","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8876996369","display_name":null,"funder_award_id":"N00014","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G8915565379","display_name":null,"funder_award_id":"N00014-21-1-2225","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306087","display_name":"Semiconductor Research Corporation","ror":"https://ror.org/047z4n946"},{"id":"https://openalex.org/F4320307791","display_name":"Cisco Systems","ror":"https://ror.org/03yt1ez60"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4406716554.pdf","grobid_xml":"https://content.openalex.org/works/W4406716554.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1677409904","https://openalex.org/W1821462560","https://openalex.org/W1861492603","https://openalex.org/W2015328715","https://openalex.org/W2042796488","https://openalex.org/W2049982526","https://openalex.org/W2141584146","https://openalex.org/W2151103935","https://openalex.org/W2294370754","https://openalex.org/W2739750598","https://openalex.org/W2762644836","https://openalex.org/W2931294353","https://openalex.org/W2947898397","https://openalex.org/W2976382054","https://openalex.org/W3013935691","https://openalex.org/W3034368386","https://openalex.org/W3042314988","https://openalex.org/W3099185017","https://openalex.org/W3132370594","https://openalex.org/W3138154797","https://openalex.org/W3152337513","https://openalex.org/W3178914588","https://openalex.org/W3193630181","https://openalex.org/W3198290099","https://openalex.org/W4200320525","https://openalex.org/W4207080651","https://openalex.org/W4281758439","https://openalex.org/W4283327367","https://openalex.org/W4296412543","https://openalex.org/W4317436892","https://openalex.org/W4386767094","https://openalex.org/W4388214769","https://openalex.org/W4391590645","https://openalex.org/W4392736745","https://openalex.org/W4393118032","https://openalex.org/W4403160439","https://openalex.org/W6762786137","https://openalex.org/W6856206847"],"related_works":["https://openalex.org/W2357124094","https://openalex.org/W2387399993","https://openalex.org/W2389739210","https://openalex.org/W2348924972","https://openalex.org/W2365736347","https://openalex.org/W2047454415","https://openalex.org/W2070040999","https://openalex.org/W2387293848","https://openalex.org/W2250140200","https://openalex.org/W2079312091"],"abstract_inverted_index":{"With":[0],"the":[1,116,130,139,154,173,190,213],"increasing":[2],"integration":[3],"of":[4,56,138,156,216],"machine":[5,46],"learning":[6,47,171],"into":[7],"IoT":[8,22,198,221],"devices,":[9],"managing":[10],"energy":[11,206],"consumption":[12],"and":[13,54,72,92,121,127,194,208],"data":[14,38,59,176,188,209],"transmission":[15,55,210],"has":[16],"become":[17],"a":[18,83,124,160,165,196],"critical":[19,157],"challenge.":[20],"Many":[21],"applications":[23],"depend":[24],"on":[25,29,185],"complex":[26],"computations":[27],"performed":[28],"server-side":[30],"infrastructure,":[31],"necessitating":[32],"efficient":[33],"methods":[34],"to":[35,78,95,106,164],"reduce":[36],"unnecessary":[37],"transmission.":[39],"One":[40],"promising":[41],"solution":[42],"involves":[43],"deploying":[44],"compact":[45,166],"models":[48,64,105],"near":[49],"sensors,":[50],"enabling":[51,153],"intelligent":[52],"identification":[53],"only":[57],"relevant":[58],"frames.":[60],"However,":[61],"existing":[62],"near-sensor":[63,99,104],"lack":[65],"adaptability,":[66],"as":[67],"they":[68],"require":[69],"extensive":[70,119],"pre-training":[71],"are":[73],"often":[74],"rigidly":[75],"configured":[76],"prior":[77,136],"deployment.":[79],"This":[80],"paper":[81],"proposes":[82],"novel":[84],"framework":[85,131,184],"that":[86],"fuses":[87],"online":[88,113],"learning,":[89,91,114],"active":[90,170],"knowledge":[93,137,151],"distillation":[94],"enable":[96],"adaptive,":[97],"resource-efficient":[98],"intelligence.":[100],"Our":[101],"approach":[102],"allows":[103],"dynamically":[107],"fine-tune":[108],"their":[109],"parameters":[110],"post-deployment":[111],"using":[112],"eliminating":[115],"need":[117],"for":[118],"pre-labeling":[120],"training.":[122],"Through":[123],"sequential":[125],"training":[126,175],"execution":[128],"process,":[129],"achieves":[132],"continuous":[133],"adaptability":[134],"without":[135],"deployment":[140],"environment.":[141,199],"To":[142],"enhance":[143],"performance":[144],"while":[145,177],"preserving":[146],"model":[147,163],"efficiency,":[148],"we":[149],"integrate":[150],"distillation,":[152],"transfer":[155],"insights":[158],"from":[159,189],"larger":[161],"teacher":[162],"student":[167],"model.":[168],"Additionally,":[169],"reduces":[172],"required":[174],"maintaining":[178],"competitive":[179],"performance.":[180],"We":[181],"validated":[182],"our":[183,217],"both":[186],"benchmark":[187],"MS":[191],"COCO":[192],"dataset":[193],"in":[195,205,219],"simulated":[197],"The":[200],"results":[201],"demonstrate":[202],"significant":[203],"improvements":[204],"efficiency":[207],"optimization,":[211],"highlighting":[212],"practical":[214],"applicability":[215],"method":[218],"real-world":[220],"scenarios.":[222]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}