{"id":"https://openalex.org/W4400679617","doi":"https://doi.org/10.1109/jiot.2024.3429245","title":"Diffusion-Model-Based Contrastive Learning for Human Activity Recognition","display_name":"Diffusion-Model-Based Contrastive Learning for Human Activity Recognition","publication_year":2024,"publication_date":"2024-07-16","ids":{"openalex":"https://openalex.org/W4400679617","doi":"https://doi.org/10.1109/jiot.2024.3429245"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2024.3429245","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2024.3429245","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2408.05567","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108053370","display_name":"Chunjing Xiao","orcid":"https://orcid.org/0000-0001-8339-1278"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunjing Xiao","raw_affiliation_strings":["School of Computer and Information Engineering, Henan University, Kaifeng, China"],"raw_orcid":"https://orcid.org/0000-0001-8339-1278","affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Henan University, Kaifeng, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107114591","display_name":"Yanhui Han","orcid":null},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanhui Han","raw_affiliation_strings":["School of Computer and Information Engineering and the Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering and the Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100613529","display_name":"Wei Yang","orcid":"https://orcid.org/0000-0003-3096-7995"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Yang","raw_affiliation_strings":["School of Computer and Information Engineering and the Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, China"],"raw_orcid":"https://orcid.org/0000-0003-3096-7995","affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering and the Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089748607","display_name":"Yane Hou","orcid":"https://orcid.org/0000-0002-4836-0406"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yane Hou","raw_affiliation_strings":["School of Computer and Information Engineering and the Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, China"],"raw_orcid":"https://orcid.org/0000-0002-4836-0406","affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering and the Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008965288","display_name":"Fangzhan Shi","orcid":"https://orcid.org/0000-0002-5042-3701"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Fangzhan Shi","raw_affiliation_strings":["Department of Security and Crime Science, University College London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0002-5042-3701","affiliations":[{"raw_affiliation_string":"Department of Security and Crime Science, University College London, London, U.K","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037025833","display_name":"Kevin Chetty","orcid":"https://orcid.org/0000-0003-1616-4248"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Kevin Chetty","raw_affiliation_strings":["Department of Security and Crime Science, University College London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0003-1616-4248","affiliations":[{"raw_affiliation_string":"Department of Security and Crime Science, University College London, London, U.K","institution_ids":["https://openalex.org/I45129253"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.4741,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.93097191,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"11","issue":"20","first_page":"33525","last_page":"33536"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10860","display_name":"Speech and Audio Processing","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11158","display_name":"Wireless Networks and Protocols","score":0.9753999710083008,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8458822965621948},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6149085760116577},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5820066928863525},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5814831852912903},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5617631077766418},{"id":"https://openalex.org/keywords/complement","display_name":"Complement (music)","score":0.5068588852882385},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.4723720848560333},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.46235546469688416},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4558890461921692},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.4545350670814514},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.4537695646286011},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3892603814601898},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.38052019476890564},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.16020172834396362},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10944640636444092}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8458822965621948},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6149085760116577},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5820066928863525},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5814831852912903},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5617631077766418},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.5068588852882385},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.4723720848560333},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.46235546469688416},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4558890461921692},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.4545350670814514},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.4537695646286011},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3892603814601898},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.38052019476890564},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.16020172834396362},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10944640636444092},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C127716648","wikidata":"https://www.wikidata.org/wiki/Q104053","display_name":"Phenotype","level":3,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C188082640","wikidata":"https://www.wikidata.org/wiki/Q1780899","display_name":"Complementation","level":4,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/jiot.2024.3429245","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2024.3429245","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2408.05567","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2408.05567","pdf_url":"https://arxiv.org/pdf/2408.05567","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10194462","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10194462/","pdf_url":"https://discovery.ucl.ac.uk/10194462/1/WiFiCL.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Internet of Things Journal , 11  (20)   33525 -33536.   (2024)","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2408.05567","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2408.05567","pdf_url":"https://arxiv.org/pdf/2408.05567","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5678387671","display_name":null,"funder_award_id":"41801310","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"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4400679617.pdf"},"referenced_works_count":69,"referenced_works":["https://openalex.org/W2095396347","https://openalex.org/W2517871893","https://openalex.org/W2586337417","https://openalex.org/W2747672283","https://openalex.org/W2763219399","https://openalex.org/W2794843057","https://openalex.org/W2798991696","https://openalex.org/W2899145720","https://openalex.org/W2952065976","https://openalex.org/W2955189540","https://openalex.org/W2969645632","https://openalex.org/W3034942609","https://openalex.org/W3035524453","https://openalex.org/W3035725276","https://openalex.org/W3045907623","https://openalex.org/W3083367988","https://openalex.org/W3088369757","https://openalex.org/W3094515045","https://openalex.org/W3099025572","https://openalex.org/W3106662783","https://openalex.org/W3108655343","https://openalex.org/W3109228974","https://openalex.org/W3128989612","https://openalex.org/W3153312280","https://openalex.org/W3156636935","https://openalex.org/W3162459705","https://openalex.org/W3184978184","https://openalex.org/W3193729710","https://openalex.org/W3198047772","https://openalex.org/W3199098217","https://openalex.org/W3201916717","https://openalex.org/W3203871918","https://openalex.org/W4206038815","https://openalex.org/W4214481550","https://openalex.org/W4220693285","https://openalex.org/W4220971462","https://openalex.org/W4221141917","https://openalex.org/W4224212267","https://openalex.org/W4226219311","https://openalex.org/W4285239586","https://openalex.org/W4286544126","https://openalex.org/W4286986228","https://openalex.org/W4289550913","https://openalex.org/W4291653271","https://openalex.org/W4294068600","https://openalex.org/W4294891660","https://openalex.org/W4308366417","https://openalex.org/W4312829261","https://openalex.org/W4312933868","https://openalex.org/W4313056800","https://openalex.org/W4313451685","https://openalex.org/W4317794503","https://openalex.org/W4318148707","https://openalex.org/W4324125606","https://openalex.org/W4385562582","https://openalex.org/W4385764165","https://openalex.org/W4387789464","https://openalex.org/W4390492666","https://openalex.org/W4392503718","https://openalex.org/W4393033135","https://openalex.org/W6679045638","https://openalex.org/W6751136067","https://openalex.org/W6776700526","https://openalex.org/W6777179611","https://openalex.org/W6779823529","https://openalex.org/W6779997284","https://openalex.org/W6782760101","https://openalex.org/W6783713337","https://openalex.org/W6811008979"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4391584540","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W4395044357","https://openalex.org/W4287117424","https://openalex.org/W4387506531","https://openalex.org/W2087346071","https://openalex.org/W2967848559"],"abstract_inverted_index":{"WiFi":[0,86],"channel":[1],"state":[2],"information":[3],"(CSI)-based":[4],"activity":[5,82,107],"recognition":[6,27,83],"has":[7],"sparked":[8],"numerous":[9],"studies":[10],"due":[11],"to":[12,33,56,61,103,130,138,165,237],"its":[13],"widespread":[14],"availability":[15],"and":[16,52,114,157,160,178],"privacy":[17],"protection.":[18],"However,":[19],"when":[20],"applied":[21],"in":[22,48,144],"practical":[23],"applications,":[24],"general":[25],"CSI-based":[26,106],"models":[28,133],"may":[29],"face":[30],"challenges":[31],"related":[32],"the":[34,49,89,92,105,139,155,166,175,186,189,200,209,216,231,238],"limited":[35,116],"generalization":[36],"capability,":[37],"since":[38],"individuals":[39],"with":[40,169],"different":[41],"behavior":[42],"habits":[43],"will":[44],"cause":[45],"various":[46],"fluctuations":[47],"CSI":[50,146],"data":[51,60,113,176,225],"it":[53],"is":[54],"difficult":[55],"gather":[57],"enough":[58],"training":[59,117,210],"cover":[62],"all":[63,208],"kinds":[64],"of":[65,91,188,218],"motion":[66],"habits.":[67],"To":[68,109,183],"tackle":[69],"this":[70,212],"problem,":[71],"we":[72,96,119,192],"design":[73],"a":[74,121],"diffusion":[75,122,132],"model-based":[76,123],"contrastive":[77,93,202],"learning":[78,94,203,223],"framework":[79],"for":[80,101,222],"human":[81],"(CLAR)":[84],"using":[85],"CSI.":[87],"On":[88],"basis":[90],"framework,":[95],"primarily":[97],"introduce":[98],"two":[99],"components":[100],"CLAR":[102,232],"enhance":[104],"recognition.":[108],"generate":[110],"diverse":[111],"augmented":[112,181],"complement":[115],"data,":[118,147],"propose":[120],"time":[124],"series-specific":[125],"augmentation":[126],"model.":[127],"In":[128],"contrast":[129],"typical":[131,201],"that":[134,230],"directly":[135],"apply":[136],"conditions":[137,164],"generative":[140,167],"process,":[141],"potentially":[142],"resulting":[143],"distorted":[145],"our":[148],"tailored":[149],"model":[150],"dissects":[151],"these":[152,163],"condition":[153],"into":[154],"high-frequency":[156],"low-frequency":[158],"components,":[159],"then":[161],"applies":[162],"process":[168],"varying":[170],"weights.":[171],"This":[172],"can":[173],"alleviate":[174],"distortion":[177],"yield":[179],"high-quality":[180],"data.":[182],"efficiently":[184],"capture":[185],"difference":[187],"sample":[190,220],"importance,":[191],"present":[193],"an":[194],"adaptive":[195],"weight":[196],"algorithm.":[197],"Different":[198],"from":[199],"methods":[204],"which":[205],"equally":[206],"consider":[207],"samples,":[211],"algorithm":[213],"adaptively":[214],"adjusts":[215],"weights":[217],"positive":[219],"pairs":[221],"better":[224],"representations.":[226],"The":[227],"experiments":[228],"suggest":[229],"achieves":[233],"significant":[234],"gains":[235],"compared":[236],"state-of-the-art":[239],"methods.":[240]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":3}],"updated_date":"2026-06-21T07:57:09.225873","created_date":"2025-10-10T00:00:00"}