{"id":"https://openalex.org/W4414883016","doi":"https://doi.org/10.1155/int/3828807","title":"Airflow Field Prediction for Quadrotor UAVs Based on Spatiotemporal Prediction Network","display_name":"Airflow Field Prediction for Quadrotor UAVs Based on Spatiotemporal Prediction Network","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414883016","doi":"https://doi.org/10.1155/int/3828807"},"language":"en","primary_location":{"id":"doi:10.1155/int/3828807","is_oa":true,"landing_page_url":"https://doi.org/10.1155/int/3828807","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/int/3828807","source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/int/3828807","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001608051","display_name":"Qiwei Guo","orcid":"https://orcid.org/0000-0002-8684-4022"},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiwei Guo","raw_affiliation_strings":["Academy of Interdisciplinary Studies ,  Guangdong Polytechnic Normal University ,  Guangzhou ,  China ,  gdin.edu.cn"],"affiliations":[{"raw_affiliation_string":"Academy of Interdisciplinary Studies ,  Guangdong Polytechnic Normal University ,  Guangzhou ,  China ,  gdin.edu.cn","institution_ids":["https://openalex.org/I4210122543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100972556","display_name":"Zhijian Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijian Fan","raw_affiliation_strings":["Academy of Interdisciplinary Studies ,  Guangdong Polytechnic Normal University ,  Guangzhou ,  China ,  gdin.edu.cn"],"affiliations":[{"raw_affiliation_string":"Academy of Interdisciplinary Studies ,  Guangdong Polytechnic Normal University ,  Guangzhou ,  China ,  gdin.edu.cn","institution_ids":["https://openalex.org/I4210122543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084554054","display_name":"Yu Tang","orcid":"https://orcid.org/0000-0002-9221-6591"},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu Tang","raw_affiliation_strings":["Academy of Interdisciplinary Studies ,  Guangdong Polytechnic Normal University ,  Guangzhou ,  China ,  gdin.edu.cn"],"affiliations":[{"raw_affiliation_string":"Academy of Interdisciplinary Studies ,  Guangdong Polytechnic Normal University ,  Guangzhou ,  China ,  gdin.edu.cn","institution_ids":["https://openalex.org/I4210122543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064442188","display_name":"Mingwei Fang","orcid":"https://orcid.org/0000-0003-3313-9386"},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingwei Fang","raw_affiliation_strings":["Academy of Interdisciplinary Studies ,  Guangdong Polytechnic Normal University ,  Guangzhou ,  China ,  gdin.edu.cn"],"affiliations":[{"raw_affiliation_string":"Academy of Interdisciplinary Studies ,  Guangdong Polytechnic Normal University ,  Guangzhou ,  China ,  gdin.edu.cn","institution_ids":["https://openalex.org/I4210122543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031627300","display_name":"Jiajun Zhuang","orcid":"https://orcid.org/0000-0002-7050-9801"},"institutions":[{"id":"https://openalex.org/I94357780","display_name":"Zhongkai University of Agriculture and Engineering","ror":"https://ror.org/000b7ms85","country_code":"CN","type":"education","lineage":["https://openalex.org/I94357780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajun Zhuang","raw_affiliation_strings":["Academy of Contemporary Agriculture Engineering Innovations ,  Zhongkai University of Agriculture and Engineering ,  Guangzhou ,  China ,  zhku.edu.cn"],"affiliations":[{"raw_affiliation_string":"Academy of Contemporary Agriculture Engineering Innovations ,  Zhongkai University of Agriculture and Engineering ,  Guangzhou ,  China ,  zhku.edu.cn","institution_ids":["https://openalex.org/I94357780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100770553","display_name":"Xiaobing Chen","orcid":"https://orcid.org/0000-0001-9852-706X"},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobing Chen","raw_affiliation_strings":["Academy of Interdisciplinary Studies ,  Guangdong Polytechnic Normal University ,  Guangzhou ,  China ,  gdin.edu.cn"],"affiliations":[{"raw_affiliation_string":"Academy of Interdisciplinary Studies ,  Guangdong Polytechnic Normal University ,  Guangzhou ,  China ,  gdin.edu.cn","institution_ids":["https://openalex.org/I4210122543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112625280","display_name":"Chaojun Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I94357780","display_name":"Zhongkai University of Agriculture and Engineering","ror":"https://ror.org/000b7ms85","country_code":"CN","type":"education","lineage":["https://openalex.org/I94357780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaojun Hou","raw_affiliation_strings":["Academy of Contemporary Agriculture Engineering Innovations ,  Zhongkai University of Agriculture and Engineering ,  Guangzhou ,  China ,  zhku.edu.cn"],"affiliations":[{"raw_affiliation_string":"Academy of Contemporary Agriculture Engineering Innovations ,  Zhongkai University of Agriculture and Engineering ,  Guangzhou ,  China ,  zhku.edu.cn","institution_ids":["https://openalex.org/I94357780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100342968","display_name":"Yong He","orcid":"https://orcid.org/0000-0001-6752-1757"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong He","raw_affiliation_strings":["College of Biosystems Engineering and Food Science ,  Zhejiang University ,  Hangzhou ,  China ,  zju.edu.cn"],"affiliations":[{"raw_affiliation_string":"College of Biosystems Engineering and Food Science ,  Zhejiang University ,  Hangzhou ,  China ,  zju.edu.cn","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5064442188","https://openalex.org/A5084554054"],"corresponding_institution_ids":["https://openalex.org/I4210122543"],"apc_list":{"value":2500,"currency":"USD","value_usd":2500},"apc_paid":{"value":2500,"currency":"USD","value_usd":2500},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21424833,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2025","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12125","display_name":"Aerospace and Aviation Technology","score":0.9977999925613403,"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/T11008","display_name":"Aerodynamics and Acoustics in Jet Flows","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.7232000231742859},{"id":"https://openalex.org/keywords/downwash","display_name":"Downwash","score":0.5673999786376953},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5637000203132629},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5426999926567078},{"id":"https://openalex.org/keywords/airflow","display_name":"Airflow","score":0.5335999727249146},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.4388999938964844},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.43529999256134033},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.41670000553131104},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.40209999680519104}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8051999807357788},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7232000231742859},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6403999924659729},{"id":"https://openalex.org/C202685678","wikidata":"https://www.wikidata.org/wiki/Q336311","display_name":"Downwash","level":3,"score":0.5673999786376953},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5637000203132629},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5426999926567078},{"id":"https://openalex.org/C116067010","wikidata":"https://www.wikidata.org/wiki/Q4698686","display_name":"Airflow","level":2,"score":0.5335999727249146},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.4388999938964844},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.43529999256134033},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.41670000553131104},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.40209999680519104},{"id":"https://openalex.org/C1633027","wikidata":"https://www.wikidata.org/wiki/Q815820","display_name":"Computational fluid dynamics","level":2,"score":0.3991999924182892},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39399999380111694},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.3862000107765198},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3621000051498413},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3589000105857849},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.3504999876022339},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.3456999957561493},{"id":"https://openalex.org/C149810388","wikidata":"https://www.wikidata.org/wiki/Q5374873","display_name":"Emulation","level":2,"score":0.3440999984741211},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.33079999685287476},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.31619998812675476},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3140999972820282},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2815000116825104},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2800000011920929},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2621999979019165},{"id":"https://openalex.org/C17281054","wikidata":"https://www.wikidata.org/wiki/Q193466","display_name":"Rotor (electric)","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.2603999972343445},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.25929999351501465},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25290000438690186},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.2524999976158142}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1155/int/3828807","is_oa":true,"landing_page_url":"https://doi.org/10.1155/int/3828807","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/int/3828807","source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1155/int/3828807","is_oa":true,"landing_page_url":"https://doi.org/10.1155/int/3828807","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1155/int/3828807","source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4413561973","display_name":null,"funder_award_id":"2023A15150","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G4871260389","display_name":null,"funder_award_id":"2023A151","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G6670569091","display_name":null,"funder_award_id":"2023A1515012989","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G7012638997","display_name":null,"funder_award_id":"2023A","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414883016.pdf","grobid_xml":"https://content.openalex.org/works/W4414883016.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W2000395418","https://openalex.org/W2067500275","https://openalex.org/W2515505748","https://openalex.org/W2768975186","https://openalex.org/W2899283552","https://openalex.org/W2950883932","https://openalex.org/W2965300934","https://openalex.org/W2967033144","https://openalex.org/W2989133617","https://openalex.org/W2989705138","https://openalex.org/W3015879326","https://openalex.org/W3094060068","https://openalex.org/W3099412592","https://openalex.org/W3116723949","https://openalex.org/W3123883114","https://openalex.org/W3214566136","https://openalex.org/W4281990365","https://openalex.org/W4292229896","https://openalex.org/W4309623909","https://openalex.org/W4313009682","https://openalex.org/W4313229727","https://openalex.org/W4367841032","https://openalex.org/W4376880182","https://openalex.org/W4385346076","https://openalex.org/W4399497970","https://openalex.org/W4409573101","https://openalex.org/W4412466687"],"related_works":[],"abstract_inverted_index":{"To":[0],"address":[1],"the":[2,25,122,133,166],"limitations":[3],"of":[4,27,45,62,126,140,169],"traditional":[5,210],"computational":[6,14,196],"fluid":[7],"dynamics":[8],"(CFD)":[9],"simulations,":[10],"such":[11],"as":[12,203],"high":[13,143],"cost,":[15],"long":[16],"processing":[17],"times,":[18],"and":[19,38,59,76,110,124,159,171,206],"limited":[20],"scalability,":[21],"this":[22],"study":[23],"identifies":[24],"inefficiencies":[26],"existing":[28],"data\u2010driven":[29],"prediction":[30,61,216],"methods,":[31,151],"which":[32,70],"often":[33],"lack":[34],"spatial\u2013temporal":[35],"coordination":[36],"mechanisms":[37],"fail":[39],"to":[40,88,149,209],"capture":[41],"fine\u2010grained":[42],"dynamic":[43],"features":[44],"UAV":[46,63],"airflow":[47,127,215],"fields.":[48],"We":[49],"propose":[50],"a":[51,83,96,103,111,204],"novel":[52],"deep":[53],"learning":[54],"model,":[55],"VAN\u2010ConvLSTM,":[56],"for":[57,99,106,114],"rapid":[58],"accurate":[60],"downwash":[64],"airflow.":[65],"Unlike":[66],"conventional":[67],"ConvLSTM\u2010based":[68],"frameworks,":[69],"struggle":[71],"with":[72,145],"modeling":[73],"long\u2010range":[74],"dependencies":[75],"detailed":[77],"spatial":[78,100,160],"variations,":[79],"our":[80,152],"model":[81,93,135,153],"introduces":[82],"visual":[84],"attention":[85],"unit":[86],"(VAN)":[87],"enhance":[89],"spatiotemporal":[90],"sensitivity.":[91],"The":[92,174],"architecture":[94],"combines":[95],"convolutional":[97],"encoder":[98],"feature":[101],"extraction,":[102],"VAN":[104,170],"module":[105],"attention\u2010guided":[107],"temporal":[108],"modeling,":[109],"ConvLSTM":[112,172],"decoder":[113],"sequence":[115],"generation.":[116],"This":[117,198],"synergistic":[118],"design":[119],"improves":[120],"both":[121],"accuracy":[123],"interpretability":[125],"prediction.":[128],"Experimental":[129],"results":[130],"show":[131],"that":[132,183],"VAN\u2010ConvLSTM":[134,184],"achieves":[136],"an":[137],"SSIM":[138],"score":[139],"0.96,":[141],"demonstrating":[142],"consistency":[144],"CFD":[146,211],"simulations.":[147],"Compared":[148],"baseline":[150],"reduces":[154],"error":[155],"while":[156,192],"improving":[157],"stability":[158],"fidelity.":[161],"Ablation":[162],"studies":[163],"further":[164],"validate":[165],"individual":[167],"contributions":[168],"modules.":[173],"results,":[175],"verified":[176],"through":[177],"three":[178],"representative":[179],"case":[180],"studies,":[181],"confirm":[182],"outperforms":[185],"state\u2010of\u2010the\u2010art":[186],"approaches":[187],"across":[188],"multiple":[189],"evaluation":[190],"metrics,":[191],"offering":[193],"significantly":[194],"enhanced":[195],"efficiency.":[197],"demonstrates":[199],"its":[200],"strong":[201],"potential":[202],"reliable":[205],"scalable":[207],"alternative":[208],"methods":[212],"in":[213],"rotor":[214],"scenarios.":[217]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}