{"id":"https://openalex.org/W4375870271","doi":"https://doi.org/10.48550/arxiv.2305.03177","title":"Deep Learning-Assisted Simultaneous Targets Sensing and Super-Resolution Imaging","display_name":"Deep Learning-Assisted Simultaneous Targets Sensing and Super-Resolution Imaging","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4375870271","doi":"https://doi.org/10.48550/arxiv.2305.03177"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2305.03177","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/2305.03177","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114094852","display_name":"Jin Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Jin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109604900","display_name":"Huang Zhao Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Huang Zhao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052002475","display_name":"Ming-Zhe Chong","orcid":"https://orcid.org/0000-0003-1960-0877"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chong, Ming-Zhe","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103136560","display_name":"Yueyi Zhang","orcid":"https://orcid.org/0000-0003-0788-8826"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Yue-Yi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054039088","display_name":"Zi\u2010Wen Zhang","orcid":"https://orcid.org/0000-0001-9617-6059"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Zi-Wen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052609186","display_name":"Zongkun Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Zong-Kun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100735333","display_name":"Chao\u2010Hai Du","orcid":"https://orcid.org/0000-0001-7970-9204"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Du, Chao-Hai","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5036044616","display_name":"Pu\u2010Kun Liu","orcid":"https://orcid.org/0000-0001-8750-7899"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Pu-Kun","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":67},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9992,"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"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9992,"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"}},{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9974,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9966,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.76770175},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7183776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.60615176},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.5850963},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.5217382},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.49363697},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.46144596},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46097744},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.44030732},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36303493},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20810068},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07002345},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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":3,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2305.03177","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.03177","pdf_url":"http://arxiv.org/pdf/2305.03177","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.2305.03177","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2305.03177","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W4304166257","https://openalex.org/W4294635752","https://openalex.org/W4250542427","https://openalex.org/W4230611425","https://openalex.org/W3216672236","https://openalex.org/W2943960151","https://openalex.org/W2731899572","https://openalex.org/W2611989081","https://openalex.org/W2216090681"],"abstract_inverted_index":{"Recently,":[0],"metasurfaces":[1,27],"have":[2],"experienced":[3],"revolutionary":[4],"growth":[5],"in":[6,83,100,147,172],"the":[7,24,29,36,41,66,90,97,108,112,121,153],"sensing":[8],"and":[9,64,123],"superresolution":[10,130],"imaging":[11],"field,":[12],"due":[13],"to":[14,79,95,142],"their":[15],"enabling":[16],"of":[17,20,26,31,52,125,155],"subwavelength":[18],"manipulation":[19],"electromagnetic":[21,53,174],"waves.":[22],"However,":[23],"addition":[25],"multiplies":[28],"complexity":[30],"retrieving":[32],"target":[33,81,150,156],"information":[34,82,146],"from":[35],"detected":[37],"fields.":[38],"Besides,":[39],"although":[40],"deep":[42,74,114,136],"learning":[43,137],"method":[44,138],"affords":[45],"a":[46,50,72,84,101],"compelling":[47],"platform":[48],"for":[49,165],"series":[51],"problems,":[54],"many":[55],"studies":[56],"mainly":[57],"concentrate":[58],"on":[59],"resolving":[60],"one":[61],"single":[62],"function":[63],"limit":[65],"research's":[67],"versatility.":[68],"In":[69],"this":[70],"study,":[71],"multifunctional":[73],"neural":[75,115],"network":[76,116],"is":[77,93],"demonstrated":[78],"reconstruct":[80],"metasurface":[85,148],"targets":[86,126],"interactive":[87,91],"system.":[88],"Firstly,":[89],"scenario":[92],"confirmed":[94],"tolerate":[96],"system":[98],"noises":[99],"primary":[102],"verification":[103],"experiment.":[104],"Then,":[105],"fed":[106],"with":[107,132],"electric":[109],"field":[110],"distributions,":[111],"multitask":[113],"can":[117],"not":[118],"only":[119],"sense":[120],"quantity":[122],"permittivity":[124],"but":[127],"also":[128,162],"generate":[129],"images":[131],"high":[133],"precision.":[134],"The":[135],"provides":[139],"another":[140],"way":[141],"recover":[143],"targets'":[144],"diverse":[145],"based":[149],"detection,":[151],"accelerating":[152],"progression":[154],"reconstruction":[157,167],"areas.":[158],"This":[159],"methodology":[160],"may":[161],"hold":[163],"promise":[164],"inverse":[166],"or":[168],"forward":[169],"prediction":[170],"problems":[171],"other":[173],"scenarios.":[175]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4375870271","counts_by_year":[],"updated_date":"2025-01-04T16:51:03.446079","created_date":"2023-05-10"}