{"id":"https://openalex.org/W4378516304","doi":"https://doi.org/10.3390/e25050781","title":"IH-TCGAN: Time-Series Conditional Generative Adversarial Network with Improved Hausdorff Distance for Synthesizing Intention Recognition Data","display_name":"IH-TCGAN: Time-Series Conditional Generative Adversarial Network with Improved Hausdorff Distance for Synthesizing Intention Recognition Data","publication_year":2023,"publication_date":"2023-05-11","ids":{"openalex":"https://openalex.org/W4378516304","doi":"https://doi.org/10.3390/e25050781","pmid":"https://pubmed.ncbi.nlm.nih.gov/37238537"},"language":"en","primary_location":{"id":"doi:10.3390/e25050781","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25050781","pdf_url":"https://www.mdpi.com/1099-4300/25/5/781/pdf?version=1683793550","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"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":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/25/5/781/pdf?version=1683793550","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100440539","display_name":"Siyuan Wang","orcid":"https://orcid.org/0000-0001-7003-4722"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyuan Wang","raw_affiliation_strings":["Air Defense and Antimissile School, Air Force Engineering University, Xi\u2019an 710051, China","Air Defense and Antimissile School, Air Force Engineering University, Xi'an 710051, China"],"raw_orcid":"https://orcid.org/0000-0001-7003-4722","affiliations":[{"raw_affiliation_string":"Air Defense and Antimissile School, Air Force Engineering University, Xi\u2019an 710051, China","institution_ids":["https://openalex.org/I4210104252"]},{"raw_affiliation_string":"Air Defense and Antimissile School, Air Force Engineering University, Xi'an 710051, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100600471","display_name":"Gang Wang","orcid":"https://orcid.org/0000-0002-5002-7303"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Wang","raw_affiliation_strings":["Air Defense and Antimissile School, Air Force Engineering University, Xi\u2019an 710051, China","Air Defense and Antimissile School, Air Force Engineering University, Xi'an 710051, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air Defense and Antimissile School, Air Force Engineering University, Xi\u2019an 710051, China","institution_ids":["https://openalex.org/I4210104252"]},{"raw_affiliation_string":"Air Defense and Antimissile School, Air Force Engineering University, Xi'an 710051, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101844257","display_name":"Qiang Fu","orcid":"https://orcid.org/0000-0001-7780-7185"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiang Fu","raw_affiliation_strings":["Air Defense and Antimissile School, Air Force Engineering University, Xi\u2019an 710051, China","Air Defense and Antimissile School, Air Force Engineering University, Xi'an 710051, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air Defense and Antimissile School, Air Force Engineering University, Xi\u2019an 710051, China","institution_ids":["https://openalex.org/I4210104252"]},{"raw_affiliation_string":"Air Defense and Antimissile School, Air Force Engineering University, Xi'an 710051, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100784138","display_name":"Yafei Song","orcid":"https://orcid.org/0000-0003-0962-0671"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yafei Song","raw_affiliation_strings":["Air Defense and Antimissile School, Air Force Engineering University, Xi\u2019an 710051, China","Air Defense and Antimissile School, Air Force Engineering University, Xi'an 710051, China"],"raw_orcid":"https://orcid.org/0000-0003-0962-0671","affiliations":[{"raw_affiliation_string":"Air Defense and Antimissile School, Air Force Engineering University, Xi\u2019an 710051, China","institution_ids":["https://openalex.org/I4210104252"]},{"raw_affiliation_string":"Air Defense and Antimissile School, Air Force Engineering University, Xi'an 710051, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100370771","display_name":"Jiayi Liu","orcid":"https://orcid.org/0000-0003-2432-4627"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayi Liu","raw_affiliation_strings":["Air Defense and Antimissile School, Air Force Engineering University, Xi\u2019an 710051, China","Air Defense and Antimissile School, Air Force Engineering University, Xi'an 710051, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air Defense and Antimissile School, Air Force Engineering University, Xi\u2019an 710051, China","institution_ids":["https://openalex.org/I4210104252"]},{"raw_affiliation_string":"Air Defense and Antimissile School, Air Force Engineering University, Xi'an 710051, China","institution_ids":["https://openalex.org/I4210104252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101844257"],"corresponding_institution_ids":["https://openalex.org/I4210104252"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2227},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2227},"fwci":0.4885,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.58336258,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"25","issue":"5","first_page":"781","last_page":"781"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9961000084877014,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7339527010917664},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5752208232879639},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5043622255325317},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4922131597995758},{"id":"https://openalex.org/keywords/data-field","display_name":"Data field","score":0.4882934093475342},{"id":"https://openalex.org/keywords/hausdorff-distance","display_name":"Hausdorff distance","score":0.46741247177124023},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4313570261001587},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.416923463344574},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.24259111285209656}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7339527010917664},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5752208232879639},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5043622255325317},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4922131597995758},{"id":"https://openalex.org/C194207283","wikidata":"https://www.wikidata.org/wiki/Q1172412","display_name":"Data field","level":3,"score":0.4882934093475342},{"id":"https://openalex.org/C141898687","wikidata":"https://www.wikidata.org/wiki/Q1501997","display_name":"Hausdorff distance","level":2,"score":0.46741247177124023},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4313570261001587},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.416923463344574},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.24259111285209656},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/e25050781","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25050781","pdf_url":"https://www.mdpi.com/1099-4300/25/5/781/pdf?version=1683793550","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"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":"Entropy","raw_type":"journal-article"},{"id":"pmid:37238537","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37238537","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10217029","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10217029","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10217029/pdf/entropy-25-00781.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:b2cf2e02771c4c98870e93b38bcf0f10","is_oa":true,"landing_page_url":"https://doaj.org/article/b2cf2e02771c4c98870e93b38bcf0f10","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":"Entropy, Vol 25, Iss 5, p 781 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/25/5/781/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e25050781","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":"Entropy; Volume 25; Issue 5; Pages: 781","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e25050781","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25050781","pdf_url":"https://www.mdpi.com/1099-4300/25/5/781/pdf?version=1683793550","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"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":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G8665716548","display_name":null,"funder_award_id":"62106283","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":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4378516304.pdf"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1977957682","https://openalex.org/W2001141328","https://openalex.org/W2124299914","https://openalex.org/W2170567676","https://openalex.org/W2311161367","https://openalex.org/W2593414223","https://openalex.org/W2923456422","https://openalex.org/W2941389059","https://openalex.org/W2956462220","https://openalex.org/W3046015915","https://openalex.org/W3088157974","https://openalex.org/W3094402648","https://openalex.org/W3096831136","https://openalex.org/W3138639953","https://openalex.org/W3202019722","https://openalex.org/W4210353589","https://openalex.org/W4210922522","https://openalex.org/W4285306522","https://openalex.org/W4290725607","https://openalex.org/W4310073736","https://openalex.org/W6762093281","https://openalex.org/W6767782324","https://openalex.org/W6801412671"],"related_works":["https://openalex.org/W2136359393","https://openalex.org/W3125779006","https://openalex.org/W4383558899","https://openalex.org/W1942697116","https://openalex.org/W4383558898","https://openalex.org/W4285299496","https://openalex.org/W1968995150","https://openalex.org/W1751874673","https://openalex.org/W2377741938","https://openalex.org/W2107105977"],"abstract_inverted_index":{"As":[0],"military":[1],"technology":[2],"continues":[3,16],"to":[4,17,66,106,136,201,206],"evolve":[5],"and":[6,62,109,129,165,186,210],"the":[7,14,25,47,93,113,120,133,139,157,167,180,188,207,215],"amount":[8,40],"of":[9,41,49,92,103,126,217],"situational":[10],"information":[11],"available":[12],"on":[13,37],"battlefield":[15],"increase,":[18],"data-driven":[19],"deep":[20],"learning":[21,34],"methods":[22],"are":[23],"becoming":[24],"primary":[26],"method":[27,78,94],"for":[28],"air":[29],"target":[30],"intention":[31,50],"recognition.":[32],"Deep":[33],"is":[35,95,152,199],"based":[36],"a":[38,76,104,127,130],"large":[39],"high":[42],"quality":[43],"data;":[44,146],"however,":[45],"in":[46,98,132,214],"field":[48],"recognition,":[51],"it":[52],"often":[53],"faces":[54],"key":[55],"problems":[56],"such":[57],"as":[58],"low":[59],"data":[60,111,164,204,209],"volume":[61],"unbalanced":[63],"datasets":[64],"due":[65],"insufficient":[67],"real-world":[68],"scenarios.":[69],"To":[70],"address":[71],"these":[72],"problems,":[73],"we":[74],"propose":[75],"new":[77],"called":[79],"time-series":[80,163,177],"conditional":[81],"generative":[82],"adversarial":[83],"network":[84,134],"with":[85],"improved":[86,149],"Hausdorff":[87,150],"distance":[88,151],"(IH-TCGAN).":[89],"The":[90,193],"innovation":[91],"mainly":[96],"reflected":[97],"three":[99],"aspects:":[100],"(1)":[101],"Use":[102],"transverter":[105],"map":[107],"real":[108,208],"synthetic":[110,203],"into":[112],"same":[114,121],"manifold":[115],"so":[116],"that":[117,138,154,197],"they":[118],"have":[119],"intrinsic":[122],"dimension;":[123],"(2)":[124],"Addition":[125],"restorer":[128],"classifier":[131],"structure":[135],"ensure":[137],"model":[140],"can":[141,155],"generate":[142,202],"high-quality":[143],"multiclass":[144],"temporal":[145],"(3)":[147],"An":[148],"proposed":[153],"measure":[156],"time":[158,218],"order":[159],"differences":[160],"between":[161],"multivariate":[162],"make":[166],"generated":[168],"results":[169,181,189,195],"more":[170],"reasonable.":[171],"We":[172],"conduct":[173],"experiments":[174],"using":[175,182,190],"two":[176],"datasets,":[178],"evaluate":[179],"various":[183],"performance":[184],"metrics,":[185],"visualize":[187],"visualization":[191],"techniques.":[192],"experimental":[194],"show":[196],"IH-TCGAN":[198],"able":[200],"similar":[205],"has":[211],"significant":[212],"advantages":[213],"generation":[216],"series":[219],"data.":[220]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}