{"id":"https://openalex.org/W3214941848","doi":"https://doi.org/10.1109/access.2021.3129856","title":"Simulated Annealing Assisted Sparse Array Selection Utilizing Deep Learning","display_name":"Simulated Annealing Assisted Sparse Array Selection Utilizing Deep Learning","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3214941848","doi":"https://doi.org/10.1109/access.2021.3129856","mag":"3214941848"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3129856","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3129856","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09623448.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09623448.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088476944","display_name":"Steven Wandale","orcid":"https://orcid.org/0000-0002-4118-5000"},"institutions":[{"id":"https://openalex.org/I180203408","display_name":"Yokohama National University","ror":"https://ror.org/03zyp6p76","country_code":"JP","type":"education","lineage":["https://openalex.org/I180203408"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Steven Wandale","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Graduate School of Engineering Sciences, Yokohama National University, 79-5 Tokiwadai, Hodogaya-ku, Yokohama 240-8501, Japan","[Department of Electrical and Computer Engineering, Graduate School of Engineering Sciences, Yokohama National University, 79-5 Tokiwadai, Hodogaya-ku, Yokohama 240-8501, Japan.]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Graduate School of Engineering Sciences, Yokohama National University, 79-5 Tokiwadai, Hodogaya-ku, Yokohama 240-8501, Japan","institution_ids":[]},{"raw_affiliation_string":"[Department of Electrical and Computer Engineering, Graduate School of Engineering Sciences, Yokohama National University, 79-5 Tokiwadai, Hodogaya-ku, Yokohama 240-8501, Japan.]","institution_ids":["https://openalex.org/I180203408"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034784131","display_name":"Koichi Ichige","orcid":"https://orcid.org/0000-0001-7663-6919"},"institutions":[{"id":"https://openalex.org/I180203408","display_name":"Yokohama National University","ror":"https://ror.org/03zyp6p76","country_code":"JP","type":"education","lineage":["https://openalex.org/I180203408"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Koichi Ichige","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Graduate School of Engineering Sciences, Yokohama National University, 79-5 Tokiwadai, Hodogaya-ku, Yokohama 240-8501, Japan. (e-mail: koichi@ynu.ac.jp)","[Department of Electrical and Computer Engineering, Graduate School of Engineering Sciences, Yokohama National University, 79-5 Tokiwadai, Hodogaya-ku, Yokohama 240-8501, Japan. (e-mail: koichi@ynu.ac.jp)]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Graduate School of Engineering Sciences, Yokohama National University, 79-5 Tokiwadai, Hodogaya-ku, Yokohama 240-8501, Japan. (e-mail: koichi@ynu.ac.jp)","institution_ids":["https://openalex.org/I180203408"]},{"raw_affiliation_string":"[Department of Electrical and Computer Engineering, Graduate School of Engineering Sciences, Yokohama National University, 79-5 Tokiwadai, Hodogaya-ku, Yokohama 240-8501, Japan. (e-mail: koichi@ynu.ac.jp)]","institution_ids":["https://openalex.org/I180203408"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5088476944"],"corresponding_institution_ids":["https://openalex.org/I180203408"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.9221,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.75191558,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"9","issue":null,"first_page":"156907","last_page":"156914"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998000264167786,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998000264167786,"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/T11946","display_name":"Antenna Design and Optimization","score":0.9994000196456909,"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/T10860","display_name":"Speech and Audio Processing","score":0.9970999956130981,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.7922207117080688},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7535757422447205},{"id":"https://openalex.org/keywords/sparse-array","display_name":"Sparse array","score":0.703238308429718},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6667430400848389},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4521494209766388},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43586140871047974},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3760409355163574},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3632616400718689}],"concepts":[{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.7922207117080688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7535757422447205},{"id":"https://openalex.org/C145177509","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse array","level":2,"score":0.703238308429718},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6667430400848389},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4521494209766388},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43586140871047974},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3760409355163574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3632616400718689}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3129856","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3129856","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09623448.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6641cfa0fa3f4c9eb3403a62097c2617","is_oa":true,"landing_page_url":"https://doaj.org/article/6641cfa0fa3f4c9eb3403a62097c2617","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 156907-156914 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3129856","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3129856","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09623448.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2983449479","display_name":null,"funder_award_id":"Scientific Research","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G3236194794","display_name":null,"funder_award_id":"Grant-in-Aid","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G3459562248","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4874944895","display_name":null,"funder_award_id":"-in-Aid","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G5256887504","display_name":null,"funder_award_id":"Japan Society for the Promotion of Science (JSPS)","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G6654474328","display_name":null,"funder_award_id":"20K04500","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G7167128334","display_name":null,"funder_award_id":"Grant-in-Aid for Scientific Researc","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G7337825077","display_name":null,"funder_award_id":"Grant-in-Aid for Sc","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G7752643416","display_name":null,"funder_award_id":"Japan","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8195122649","display_name":null,"funder_award_id":"in-Aid for Scientific Scientific Research 20K04500","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8759943101","display_name":null,"funder_award_id":"rant-in-Aid for Scientific Research","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3214941848.pdf","grobid_xml":"https://content.openalex.org/works/W3214941848.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W98998484","https://openalex.org/W653761051","https://openalex.org/W1482051323","https://openalex.org/W1977579146","https://openalex.org/W2013943064","https://openalex.org/W2149755721","https://openalex.org/W2562947506","https://openalex.org/W2598194391","https://openalex.org/W2604446259","https://openalex.org/W2889941140","https://openalex.org/W2899501937","https://openalex.org/W2912244428","https://openalex.org/W2943779990","https://openalex.org/W2963689780","https://openalex.org/W2983410381","https://openalex.org/W3011856793","https://openalex.org/W3017943770","https://openalex.org/W3034864989","https://openalex.org/W3088434242","https://openalex.org/W3093576336","https://openalex.org/W3100348399","https://openalex.org/W3138743904","https://openalex.org/W3155041601","https://openalex.org/W3165488499","https://openalex.org/W4212863985","https://openalex.org/W6604026947","https://openalex.org/W6628722807","https://openalex.org/W6758354603"],"related_works":["https://openalex.org/W4231775656","https://openalex.org/W2067147118","https://openalex.org/W2046435967","https://openalex.org/W2392013129","https://openalex.org/W2025427163","https://openalex.org/W2113777112","https://openalex.org/W2884994975","https://openalex.org/W2357727223","https://openalex.org/W4205762803","https://openalex.org/W2153172467"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"simulated":[3,49],"annealing":[4,50],"(SA)":[5],"assisted":[6],"deep":[7],"learning":[8],"(DL)":[9],"based":[10],"sparse":[11,153,157],"array":[12,84,94,137,158],"selection":[13],"approach.":[14],"Conventional":[15],"DL-based":[16,136],"antenna":[17],"selectors":[18],"are":[19],"primarily":[20],"data-driven":[21],"techniques.":[22],"As":[23],"a":[24],"result,":[25],"the":[26,63,73,77,89,102,106,112,127,131,135,142,146,151],"required":[27],"dataset":[28,56,90,128],"is":[29,45,52],"generated":[30,96,129,144],"by":[31,130,145],"listing":[32],"all":[33],"possible":[34],"combinations":[35],"of":[36,105],"selecting":[37],"M":[38],"sensors":[39],"given":[40],"N":[41],"uniform":[42],"array,":[43],"which":[44],"computationally":[46],"expensive.":[47],"A":[48],"algorithm":[51,68],"proposed":[53,132],"to":[54,61,118,141],"assist":[55],"generation":[57,120],"as":[58,92],"an":[59],"initializer":[60,113],"circumvent":[62],"above":[64],"limitation.":[65],"The":[66],"SA":[67],"sequentially":[69],"samples":[70,80],"and":[71,161],"optimizes":[72],"subarrays":[74],"that":[75,125],"constitute":[76],"training":[78],"data":[79,108,119],"while":[81],"retaining":[82],"specific":[83],"characteristics.":[85],"Hence,":[86],"it":[87],"simplifies":[88],"annotation":[91,109],"most":[93],"configurations":[95],"contain":[97],"desired":[98],"properties,":[99],"thereby":[100],"reducing":[101],"computation":[103,115],"complexity":[104],"overall":[107],"processes.":[110],"Therefore,":[111],"reduces":[114],"costs":[116],"related":[117],"considerably.":[121],"Simulation":[122],"examples":[123],"show":[124,155],"using":[126],"method":[133],"improves":[134],"selector\u2019s":[138],"accuracy":[139],"compared":[140],"one":[143],"conventional":[147],"random":[148],"sampler.":[149],"Moreover,":[150],"realized":[152],"arrays":[154],"better":[156],"configuration":[159],"characteristics":[160],"enhanced":[162],"DOA":[163],"estimation":[164],"performance.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}