{"id":"https://openalex.org/W4293518253","doi":"https://doi.org/10.1109/icait56197.2022.9862703","title":"A Temporal Convolutional Network Based on Bayesian Optimization for Frequency Hopping Prediction","display_name":"A Temporal Convolutional Network Based on Bayesian Optimization for Frequency Hopping Prediction","publication_year":2022,"publication_date":"2022-07-08","ids":{"openalex":"https://openalex.org/W4293518253","doi":"https://doi.org/10.1109/icait56197.2022.9862703"},"language":"en","primary_location":{"id":"doi:10.1109/icait56197.2022.9862703","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icait56197.2022.9862703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 14th International Conference on Advanced Infocomm Technology (ICAIT)","raw_type":"proceedings-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/A5027126870","display_name":"Zhe Deng","orcid":"https://orcid.org/0000-0002-2525-8783"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Deng","raw_affiliation_strings":["National University of Defense Technology,College of Electronic Science and Technology,Changsha,China,410005"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Electronic Science and Technology,Changsha,China,410005","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067234489","display_name":"Ke Lai","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Lai","raw_affiliation_strings":["National University of Defense Technology,College of Electronic Science and Technology,Changsha,China,410005"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Electronic Science and Technology,Changsha,China,410005","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110911326","display_name":"Jing Lei","orcid":"https://orcid.org/0000-0002-5838-5826"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Lei","raw_affiliation_strings":["National University of Defense Technology,College of Electronic Science and Technology,Changsha,China,410005"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Electronic Science and Technology,Changsha,China,410005","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.4459,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.58419473,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"13","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9889000058174133,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9889000058174133,"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/T10860","display_name":"Speech and Audio Processing","score":0.9801999926567078,"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/T10575","display_name":"Wireless Communication Networks Research","score":0.9765999913215637,"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/convolution","display_name":"Convolution (computer science)","score":0.7076495885848999},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6953758001327515},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.686946451663971},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.505120575428009},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5024688243865967},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4979262351989746},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.49487513303756714},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.4352380037307739},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.4142487049102783},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3923022747039795},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32971370220184326},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.09373226761817932}],"concepts":[{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7076495885848999},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6953758001327515},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.686946451663971},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.505120575428009},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5024688243865967},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4979262351989746},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.49487513303756714},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.4352380037307739},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.4142487049102783},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3923022747039795},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32971370220184326},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09373226761817932},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icait56197.2022.9862703","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icait56197.2022.9862703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 14th International Conference on Advanced Infocomm Technology (ICAIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1599350422","https://openalex.org/W1973979964","https://openalex.org/W2044933894","https://openalex.org/W2128010550","https://openalex.org/W2131241448","https://openalex.org/W2192203593","https://openalex.org/W2560614390","https://openalex.org/W2792764867","https://openalex.org/W2797767932","https://openalex.org/W3113650279","https://openalex.org/W4200031635","https://openalex.org/W4200518571","https://openalex.org/W6661679229","https://openalex.org/W6730299885","https://openalex.org/W6749825310"],"related_works":["https://openalex.org/W3106461837","https://openalex.org/W4283700523","https://openalex.org/W3168182983","https://openalex.org/W4387079005","https://openalex.org/W4321472004","https://openalex.org/W4221166418","https://openalex.org/W2968265130","https://openalex.org/W3117893869","https://openalex.org/W2973085194","https://openalex.org/W4401858220"],"abstract_inverted_index":{"Frequency":[0],"hopping":[1],"(FH)":[2],"spectrum":[3],"prediction":[4,61,79],"is":[5,47,56,74,105],"challenging":[6],"because":[7],"of":[8,69,78,89,98,111],"the":[9,12,42,50,54,67,70,95,99,108],"discrepancy":[10],"between":[11],"observed":[13],"FH":[14,43,59,90,102,112],"sequences":[15],"and":[16,34,53,83],"true":[17],"values.":[18],"Temporal":[19],"convolutional":[20,37],"network":[21],"(TCN)":[22],"has":[23],"excellent":[24],"sequence":[25,44,60,113],"modeling":[26],"ability":[27],"due":[28],"to":[29,58],"its":[30],"causal":[31],"convolution":[32],"structure":[33],"stacked":[35],"dilated":[36],"layers.":[38],"In":[39],"this":[40],"paper,":[41],"observation":[45],"process":[46],"modeled":[48],"with":[49,62],"state-space":[51],"model,":[52],"TCN":[55,72],"applied":[57],"Bayesian":[63],"hyper-parameter":[64],"optimization.":[65],"Furthermore,":[66],"performance":[68,97],"proposed":[71,100],"model":[73],"evaluated":[75],"in":[76,86],"terms":[77],"accuracy,":[80],"training":[81,84],"speed,":[82],"stability":[85],"different":[87],"types":[88],"sequences.":[91],"Simulation":[92],"results":[93],"demonstrate":[94],"comprehensive":[96],"TCN-based":[101],"prediction,":[103],"which":[104],"suitable":[106],"for":[107],"practical":[109],"use":[110],"prediction.":[114]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}