{"id":"https://openalex.org/W4289530078","doi":"https://doi.org/10.3390/systems10040111","title":"Transfer EEG Emotion Recognition by Combining Semi-Supervised Regression with Bipartite Graph Label Propagation","display_name":"Transfer EEG Emotion Recognition by Combining Semi-Supervised Regression with Bipartite Graph Label Propagation","publication_year":2022,"publication_date":"2022-07-29","ids":{"openalex":"https://openalex.org/W4289530078","doi":"https://doi.org/10.3390/systems10040111"},"language":"en","primary_location":{"id":"doi:10.3390/systems10040111","is_oa":true,"landing_page_url":"https://doi.org/10.3390/systems10040111","pdf_url":"https://www.mdpi.com/2079-8954/10/4/111/pdf?version=1659438783","source":{"id":"https://openalex.org/S4210219410","display_name":"Systems","issn_l":"2079-8954","issn":["2079-8954"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2079-8954/10/4/111/pdf?version=1659438783","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017437629","display_name":"Wenzheng Li","orcid":"https://orcid.org/0000-0001-6967-5944"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenzheng Li","raw_affiliation_strings":["School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China"],"raw_orcid":"https://orcid.org/0000-0001-6967-5944","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056881797","display_name":"Yong Peng","orcid":"https://orcid.org/0000-0003-1208-972X"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]},{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yong Peng","raw_affiliation_strings":["Key Laboratory of Brain Machine Collaborative Intelligence of Zhejiang Province, Hangzhou 310018, China","School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China"],"raw_orcid":"https://orcid.org/0000-0003-1208-972X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Brain Machine Collaborative Intelligence of Zhejiang Province, Hangzhou 310018, China","institution_ids":["https://openalex.org/I4210123185"]},{"raw_affiliation_string":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5056881797"],"corresponding_institution_ids":["https://openalex.org/I4210123185","https://openalex.org/I50760025"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":0.3389,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.53546364,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"10","issue":"4","first_page":"111","last_page":"111"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/electroencephalography","display_name":"Electroencephalography","score":0.7101273536682129},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6440547704696655},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6390557289123535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6187889575958252},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5982306003570557},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5146101713180542},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5028929114341736},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.46593397855758667},{"id":"https://openalex.org/keywords/independent-and-identically-distributed-random-variables","display_name":"Independent and identically distributed random variables","score":0.4303070306777954},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42891913652420044},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4257621467113495},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.41475996375083923},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2396693229675293},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15201503038406372},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14967840909957886},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.078899085521698}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7101273536682129},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6440547704696655},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6390557289123535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6187889575958252},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5982306003570557},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5146101713180542},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5028929114341736},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.46593397855758667},{"id":"https://openalex.org/C141513077","wikidata":"https://www.wikidata.org/wiki/Q378542","display_name":"Independent and identically distributed random variables","level":3,"score":0.4303070306777954},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42891913652420044},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4257621467113495},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.41475996375083923},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2396693229675293},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15201503038406372},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14967840909957886},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.078899085521698},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/systems10040111","is_oa":true,"landing_page_url":"https://doi.org/10.3390/systems10040111","pdf_url":"https://www.mdpi.com/2079-8954/10/4/111/pdf?version=1659438783","source":{"id":"https://openalex.org/S4210219410","display_name":"Systems","issn_l":"2079-8954","issn":["2079-8954"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4827816e47054cd7b8bf3d2827ad995e","is_oa":true,"landing_page_url":"https://doaj.org/article/4827816e47054cd7b8bf3d2827ad995e","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":"Systems, Vol 10, Iss 4, p 111 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2079-8954/10/4/111/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/systems10040111","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Systems; Volume 10; Issue 4; Pages: 111","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/systems10040111","is_oa":true,"landing_page_url":"https://doi.org/10.3390/systems10040111","pdf_url":"https://www.mdpi.com/2079-8954/10/4/111/pdf?version=1659438783","source":{"id":"https://openalex.org/S4210219410","display_name":"Systems","issn_l":"2079-8954","issn":["2079-8954"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1634827900","display_name":null,"funder_award_id":"61971173","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G1926699777","display_name":null,"funder_award_id":"LY21F030005","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G2261240740","display_name":null,"funder_award_id":"GK209907299001-008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2297369341","display_name":null,"funder_award_id":"FZ2021KF16","funder_id":"https://openalex.org/F4320324522","funder_display_name":"Civil Aviation Administration of China"},{"id":"https://openalex.org/G3154845493","display_name":null,"funder_award_id":"GD21202","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3275633148","display_name":null,"funder_award_id":"2017M620470","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G3474571101","display_name":"\u9762\u5411\u8de8\u88ab\u8bd5\u4e0e\u8de8\u65f6\u6bb5\u8111\u7535\u60c5\u611f\u8bc6\u522b\u7684\u77e5\u8bc6\u8fc1\u79fb\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61971173","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3897498977","display_name":null,"funder_award_id":"GD21202","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G4912150717","display_name":null,"funder_award_id":"GK209907299001-008","funder_id":"https://openalex.org/F4554350417","funder_display_name":"Fundamental Research Funds for the Provincial Universities of Zhejiang"},{"id":"https://openalex.org/G6695886218","display_name":null,"funder_award_id":"U20B2074","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6802019283","display_name":null,"funder_award_id":"GK209907299001-008","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G6896342751","display_name":null,"funder_award_id":"LY21F030005","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7041351385","display_name":null,"funder_award_id":"FZ2021KF16","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7212191165","display_name":null,"funder_award_id":"LY21F030005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7952916245","display_name":null,"funder_award_id":"GD21202","funder_id":"https://openalex.org/F4320323266","funder_display_name":"Guilin University of Electronic Technology"},{"id":"https://openalex.org/G8605274916","display_name":null,"funder_award_id":"U20B2074","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8934702985","display_name":null,"funder_award_id":"FZ2021KF16","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G961719341","display_name":null,"funder_award_id":"2017M620470","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320323266","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42"},{"id":"https://openalex.org/F4320324522","display_name":"Civil Aviation Administration of China","ror":"https://ror.org/05gfwht30"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4554350417","display_name":"Fundamental Research Funds for the Provincial Universities of Zhejiang","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4289530078.pdf","grobid_xml":"https://content.openalex.org/works/W4289530078.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W1900884525","https://openalex.org/W1947251450","https://openalex.org/W2088748973","https://openalex.org/W2096943734","https://openalex.org/W2104330969","https://openalex.org/W2110097068","https://openalex.org/W2128728535","https://openalex.org/W2149466042","https://openalex.org/W2171837816","https://openalex.org/W2187089797","https://openalex.org/W2578674746","https://openalex.org/W2579628011","https://openalex.org/W2751449619","https://openalex.org/W2765362197","https://openalex.org/W2786768213","https://openalex.org/W2790404832","https://openalex.org/W2790814155","https://openalex.org/W2792191740","https://openalex.org/W2794365923","https://openalex.org/W2799657112","https://openalex.org/W2807076300","https://openalex.org/W2890564211","https://openalex.org/W2897536120","https://openalex.org/W2962905870","https://openalex.org/W2982126608","https://openalex.org/W2997399314","https://openalex.org/W3012159372","https://openalex.org/W3040413318","https://openalex.org/W3041133507","https://openalex.org/W3048268826","https://openalex.org/W3082112788","https://openalex.org/W3087220290","https://openalex.org/W3099407048","https://openalex.org/W3108203525","https://openalex.org/W3123612677","https://openalex.org/W3124617164","https://openalex.org/W3133817364","https://openalex.org/W3135939397","https://openalex.org/W3152660099","https://openalex.org/W3162735870","https://openalex.org/W3164305153","https://openalex.org/W3194836659","https://openalex.org/W3211198551","https://openalex.org/W3212340323","https://openalex.org/W4205219957","https://openalex.org/W4211075179","https://openalex.org/W4224942799","https://openalex.org/W4226151129","https://openalex.org/W7071692672"],"related_works":["https://openalex.org/W4308262314","https://openalex.org/W2065962751","https://openalex.org/W2042327336","https://openalex.org/W4382286161","https://openalex.org/W4386213806","https://openalex.org/W2960456850","https://openalex.org/W3021430260","https://openalex.org/W2546942002","https://openalex.org/W2543161807","https://openalex.org/W1983733476"],"abstract_inverted_index":{"Individual":[0],"differences":[1,153],"often":[2],"appear":[3],"in":[4,43,142,159],"electroencephalography":[5],"(EEG)":[6],"data":[7,58,129],"collected":[8],"from":[9],"different":[10],"subjects":[11,155],"due":[12],"to":[13,28,55,77,104],"its":[14],"weak,":[15],"nonstationary":[16],"and":[17,75,96,115,176],"low":[18],"signal-to-noise":[19],"ratio":[20],"properties.":[21],"This":[22],"causes":[23],"many":[24],"machine":[25],"learning":[26,51],"methods":[27,68],"have":[29,69],"poor":[30],"generalization":[31],"performance":[32,141],"because":[33],"the":[34,57,66,106,121,127,131,145,149,160,165,171,187,195],"independent":[35],"identically":[36],"distributed":[37],"assumption":[38],"is":[39,102],"no":[40],"longer":[41],"valid":[42],"cross-subject":[44,122,179],"EEG":[45,88,111,150,173,180,198],"data.":[46],"To":[47],"this":[48,85],"end,":[49],"transfer":[50,90],"has":[52,137],"been":[53],"introduced":[54],"alleviate":[56],"distribution":[59,113,152],"difference":[60],"between":[61,154],"subjects.":[62],"However,":[63],"most":[64],"of":[65,110,167,197],"existing":[67],"focused":[70],"only":[71],"on":[72,126],"domain":[73,168],"adaptation":[74],"failed":[76],"achieve":[78],"effective":[79],"collaboration":[80],"with":[81,93,144],"label":[82,99,118],"estimation.":[83,119],"In":[84],"paper,":[86],"an":[87],"feature":[89,112,151],"method":[91],"combined":[92],"semi-supervised":[94,116],"regression":[95],"bipartite":[97],"graph":[98],"propagation":[100],"(TSRBG)":[101],"proposed":[103],"realize":[105],"unified":[107],"joint":[108,117],"optimization":[109],"alignment":[114],"Through":[120],"emotion":[123,181,199],"recognition":[124,140,182],"experiments":[125],"SEED-IV":[128],"set,":[130],"results":[132],"show":[133],"that":[134],"(1)":[135],"TSRBG":[136],"significantly":[138,157],"better":[139],"comparison":[143],"state-of-the-art":[146],"models;":[147],"(2)":[148],"are":[156,183],"minimized":[158],"learned":[161,188],"shared":[162],"subspace,":[163,189],"indicating":[164],"effectiveness":[166],"adaptation;":[169],"(3)":[170],"key":[172],"frequency":[174],"bands":[175],"channels":[177],"for":[178],"achieved":[184],"by":[185],"investigating":[186],"which":[190],"provides":[191],"more":[192],"insights":[193],"into":[194],"study":[196],"activation":[200],"patterns.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}