{"id":"https://openalex.org/W4320008870","doi":"https://doi.org/10.1109/jiot.2023.3238354","title":"When Hierarchical Federated Learning Meets Stochastic Game: Toward an Intelligent UAV Charging in Urban Prosumers","display_name":"When Hierarchical Federated Learning Meets Stochastic Game: Toward an Intelligent UAV Charging in Urban Prosumers","publication_year":2023,"publication_date":"2023-01-20","ids":{"openalex":"https://openalex.org/W4320008870","doi":"https://doi.org/10.1109/jiot.2023.3238354"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2023.3238354","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2023.3238354","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":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042717325","display_name":"Luyao Zou","orcid":"https://orcid.org/0000-0002-4441-4390"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Luyao Zou","raw_affiliation_strings":["Department of Computer Science and Engineering, Kyung Hee University, Yongin, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-4441-4390","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Kyung Hee University, Yongin, Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058796764","display_name":"Md. Shirajum Munir","orcid":"https://orcid.org/0000-0002-7255-1085"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]},{"id":"https://openalex.org/I81365321","display_name":"Old Dominion University","ror":"https://ror.org/04zjtrb98","country_code":"US","type":"education","lineage":["https://openalex.org/I81365321"]}],"countries":["KR","US"],"is_corresponding":false,"raw_author_name":"Md. Shirajum Munir","raw_affiliation_strings":["Department of Computational Modeling and Simulation Engineering, Virginia Modeling, Analysis, and Simulation Center, Old Dominion University, Suffolk, VA, USA","Department of Computer Science and Engineering, Kyung Hee University, Yongin, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-7255-1085","affiliations":[{"raw_affiliation_string":"Department of Computational Modeling and Simulation Engineering, Virginia Modeling, Analysis, and Simulation Center, Old Dominion University, Suffolk, VA, USA","institution_ids":["https://openalex.org/I81365321"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Kyung Hee University, Yongin, Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090437841","display_name":"Yan Kyaw Tun","orcid":null},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]},{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["KR","SE"],"is_corresponding":false,"raw_author_name":"Yan Kyaw Tun","raw_affiliation_strings":["Department of Computer Science and Engineering, Kyung Hee University, Yongin, Republic of Korea","Teletraffic Systems, Division of Network and Systems Engineering, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden"],"raw_orcid":"https://orcid.org/0000-0002-8557-0082","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Kyung Hee University, Yongin, Republic of Korea","institution_ids":["https://openalex.org/I35928602"]},{"raw_affiliation_string":"Teletraffic Systems, Division of Network and Systems Engineering, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044963028","display_name":"Sheikh Salman Hassan","orcid":null},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sheikh Salman Hassan","raw_affiliation_strings":["Department of Computer Science and Engineering, Kyung Hee University, Yongin, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-5317-6494","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Kyung Hee University, Yongin, Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054911644","display_name":"Pyae Sone Aung","orcid":"https://orcid.org/0000-0001-8331-6729"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Pyae Sone Aung","raw_affiliation_strings":["Department of Computer Science and Engineering, Kyung Hee University, Yongin, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Kyung Hee University, Yongin, Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034052371","display_name":"Choong Seon Hong","orcid":null},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Choong Seon Hong","raw_affiliation_strings":["Department of Computer Science and Engineering, Kyung Hee University, Yongin, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-3484-7333","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Kyung Hee University, Yongin, Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5042717325"],"corresponding_institution_ids":["https://openalex.org/I35928602"],"apc_list":null,"apc_paid":null,"fwci":20.332,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.99057573,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"10","issue":"12","first_page":"10438","last_page":"10461"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.9993000030517578,"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/T12546","display_name":"Smart Parking Systems Research","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T10768","display_name":"Electric Vehicles and Infrastructure","score":0.9836999773979187,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/prosumer","display_name":"Prosumer","score":0.8254228234291077},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7514607906341553},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5742562413215637},{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.5285274982452393},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5232321619987488},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.5193991661071777},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.4237526059150696},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.41793856024742126},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34045374393463135},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.29798322916030884},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.23344174027442932},{"id":"https://openalex.org/keywords/renewable-energy","display_name":"Renewable energy","score":0.1256416141986847},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12379127740859985}],"concepts":[{"id":"https://openalex.org/C2779939747","wikidata":"https://www.wikidata.org/wiki/Q1145220","display_name":"Prosumer","level":3,"score":0.8254228234291077},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7514607906341553},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5742562413215637},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.5285274982452393},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5232321619987488},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.5193991661071777},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.4237526059150696},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.41793856024742126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34045374393463135},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.29798322916030884},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.23344174027442932},{"id":"https://openalex.org/C188573790","wikidata":"https://www.wikidata.org/wiki/Q12705","display_name":"Renewable energy","level":2,"score":0.1256416141986847},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12379127740859985},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jiot.2023.3238354","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2023.3238354","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:pure.atira.dk:publications/314925b8-7c9c-4a44-a299-7a61ed2f9e4c","is_oa":false,"landing_page_url":"https://vbn.aau.dk/da/publications/314925b8-7c9c-4a44-a299-7a61ed2f9e4c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zou , L , Munir , M S , Tun , Y K , Hassan , S S , Aung , P S &amp; Hong , C S 2023 , ' When Hierarchical Federated Learning Meets Stochastic Game : Toward an Intelligent UAV Charging in Urban Prosumers ' , IEEE Internet of Things Journal , vol. 10 , no. 12 , pp. 10438-10461 . https://doi.org/10.1109/JIOT.2023.3238354","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5199999809265137}],"awards":[{"id":"https://openalex.org/G2629571583","display_name":null,"funder_award_id":"2020R1A4A1018607","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":97,"referenced_works":["https://openalex.org/W1513468570","https://openalex.org/W1514611985","https://openalex.org/W2008841231","https://openalex.org/W2036103676","https://openalex.org/W2120846115","https://openalex.org/W2268751503","https://openalex.org/W2315665465","https://openalex.org/W2498017881","https://openalex.org/W2529364728","https://openalex.org/W2571395702","https://openalex.org/W2587030715","https://openalex.org/W2587586954","https://openalex.org/W2613278213","https://openalex.org/W2746553466","https://openalex.org/W2770040414","https://openalex.org/W2781587450","https://openalex.org/W2807165293","https://openalex.org/W2807525283","https://openalex.org/W2807726433","https://openalex.org/W2807997484","https://openalex.org/W2889749348","https://openalex.org/W2891461321","https://openalex.org/W2894793845","https://openalex.org/W2895338155","https://openalex.org/W2909643277","https://openalex.org/W2925554975","https://openalex.org/W2942658132","https://openalex.org/W2943621039","https://openalex.org/W2956452632","https://openalex.org/W2963148318","https://openalex.org/W2963318081","https://openalex.org/W2964023906","https://openalex.org/W2969525674","https://openalex.org/W2971417062","https://openalex.org/W2973885157","https://openalex.org/W2974232099","https://openalex.org/W2982361136","https://openalex.org/W2996726578","https://openalex.org/W3007087231","https://openalex.org/W3007419932","https://openalex.org/W3009793585","https://openalex.org/W3010038222","https://openalex.org/W3013111805","https://openalex.org/W3016569011","https://openalex.org/W3032979640","https://openalex.org/W3037451795","https://openalex.org/W3040325268","https://openalex.org/W3043473594","https://openalex.org/W3045638580","https://openalex.org/W3045941597","https://openalex.org/W3046185421","https://openalex.org/W3048865549","https://openalex.org/W3087843065","https://openalex.org/W3091801004","https://openalex.org/W3091900884","https://openalex.org/W3094020329","https://openalex.org/W3101073882","https://openalex.org/W3106394430","https://openalex.org/W3109196549","https://openalex.org/W3109858579","https://openalex.org/W3113052689","https://openalex.org/W3115629111","https://openalex.org/W3118427582","https://openalex.org/W3119413022","https://openalex.org/W3129046134","https://openalex.org/W3129623028","https://openalex.org/W3130242088","https://openalex.org/W3132393199","https://openalex.org/W3133541004","https://openalex.org/W3143741514","https://openalex.org/W3160173326","https://openalex.org/W3165810445","https://openalex.org/W3171582963","https://openalex.org/W3178661111","https://openalex.org/W3179018212","https://openalex.org/W3180289372","https://openalex.org/W3182719466","https://openalex.org/W3191589962","https://openalex.org/W3193945795","https://openalex.org/W3203818865","https://openalex.org/W3207252949","https://openalex.org/W4200433338","https://openalex.org/W4205295562","https://openalex.org/W4206414320","https://openalex.org/W4206770380","https://openalex.org/W4226047819","https://openalex.org/W4226289419","https://openalex.org/W4283208337","https://openalex.org/W4295708797","https://openalex.org/W4308085837","https://openalex.org/W4310055702","https://openalex.org/W4318619660","https://openalex.org/W6630520071","https://openalex.org/W6678168664","https://openalex.org/W6728757088","https://openalex.org/W6737454906","https://openalex.org/W6791421546"],"related_works":["https://openalex.org/W3183573877","https://openalex.org/W4229448053","https://openalex.org/W4287990301","https://openalex.org/W2889743787","https://openalex.org/W3000381361","https://openalex.org/W4247925126","https://openalex.org/W2573279507","https://openalex.org/W4327774218","https://openalex.org/W2504673889","https://openalex.org/W2059768187"],"abstract_inverted_index":{"Unmanned":[0],"aerial":[1],"vehicles":[2],"(UAVs)":[3],"nowadays":[4],"are":[5,38],"developing":[6],"rapidly":[7],"for":[8,44,56],"various":[9],"applications":[10],"such":[11,173],"as":[12],"UAV":[13,57],"taxis":[14],"and":[15,108,133,241],"delivery":[16],"drones.":[17],"However,":[18],"the":[19,24,28,45,64,69,74,78,84,91,101,155,180,187,193,209,217,221,224,231,237,242,254,259],"limited":[20],"battery":[21],"energy":[22,53,71,103,110,164,211,244],"restricts":[23],"flight":[25],"distance":[26],"of":[27,73,80,83,223,239],"UAVs.":[29,46,86],"Thus,":[30,115],"urban":[31,59],"prosumers":[32,60,75],"equipped":[33],"with":[34,76,90,147,200,236,258],"drone":[35],"recharge":[36],"stations":[37],"introduced":[39],"to":[40,67,88,160,175,185,191,207],"provide":[41],"charging":[42],"services":[43],"In":[47,153],"this":[48],"article,":[49],"first,":[50],"a":[51,117,201],"day-ahead":[52,102],"scheduling":[54,111,212],"problem":[55],"charging-enabled":[58],"is":[61,66,151,158,183,205],"studied,":[62],"where":[63],"objective":[65],"maximize":[68],"overall":[70],"satisfaction":[72,245],"ensuring":[77],"Quality":[79],"Service":[81],"(QoS)":[82],"charged":[85],"Specifically,":[87],"deal":[89],"considered":[92],"problem,":[93,189],"we":[94],"decompose":[95],"it":[96],"into":[97],"two":[98],"stages:":[99],"1)":[100],"requirement":[104,165],"data":[105,166,172,177],"prediction":[106],"stage":[107,112],"2)":[109],"per":[113,214],"prosumer.":[114,215],"second,":[116],"joint":[118,226],"method":[119,204,227],"based":[120],"on":[121,126],"hierarchical":[122],"federated":[123],"learning":[124],"(HFL)":[125],"long":[127],"short-term":[128],"memory":[129],"(LSTM)":[130],"architecture":[131],"(HFL-LSTM)":[132],"stochastic":[134,181],"game-based":[135],"multi-agent":[136],"double":[137],"deep":[138],"<inline-formula":[139,246],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[140,247],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[141,248],"<tex-math":[142,249],"notation=\"LaTeX\">$Q$":[143],"</tex-math></inline-formula>":[144,251],"-learning":[145],"(MADDQN)":[146],"community":[148,202],"agent-independent":[149,203],"approach":[150,157],"proposed.":[152],"particular,":[154],"HFL-LSTM":[156],"leveraged":[159],"forecast":[161],"each":[162],"prosumer\u2019s":[163],"without":[167],"centralized":[168],"collecting":[169],"local":[170],"prosumers\u2019":[171],"that":[174,228],"protect":[176],"privacy.":[178],"Then,":[179],"game":[182],"adopted":[184],"analyze":[186],"formulated":[188],"aiming":[190],"find":[192],"Nash":[194],"equilibrium":[195],"(NE)":[196],"strategy.":[197],"Afterward,":[198],"MADDQN":[199],"utilized":[206],"achieve":[208,230],"best":[210],"strategy":[213],"Finally,":[216],"experimental":[218],"results":[219],"demonstrate":[220],"superiority":[222],"proposed":[225],"can":[229],"lowest":[232],"mean":[233],"squared":[234],"error":[235],"value":[238],"0.0152":[240],"highest":[243],"notation=\"LaTeX\">$(36388)$":[250],"achieved":[252],"by":[253],"NE":[255],"policy":[256],"compared":[257],"benchmarks.":[260]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
