{"id":"https://openalex.org/W2888386112","doi":"https://doi.org/10.1109/jiot.2018.2867083","title":"Hybrid Cross Deep Network for Domain Adaptation and Energy Saving in Visual Internet of Things","display_name":"Hybrid Cross Deep Network for Domain Adaptation and Energy Saving in Visual Internet of Things","publication_year":2018,"publication_date":"2018-08-24","ids":{"openalex":"https://openalex.org/W2888386112","doi":"https://doi.org/10.1109/jiot.2018.2867083","mag":"2888386112"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2018.2867083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2018.2867083","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-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/A5102012571","display_name":"Zhong Zhang","orcid":"https://orcid.org/0000-0002-4911-6173"},"institutions":[{"id":"https://openalex.org/I15062923","display_name":"Tianjin Normal University","ror":"https://ror.org/05x2td559","country_code":"CN","type":"education","lineage":["https://openalex.org/I15062923"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong Zhang","raw_affiliation_strings":["Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-4911-6173","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China","institution_ids":["https://openalex.org/I15062923"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101419727","display_name":"Donghong Li","orcid":"https://orcid.org/0009-0003-1307-2628"},"institutions":[{"id":"https://openalex.org/I15062923","display_name":"Tianjin Normal University","ror":"https://ror.org/05x2td559","country_code":"CN","type":"education","lineage":["https://openalex.org/I15062923"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Donghong Li","raw_affiliation_strings":["Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China","institution_ids":["https://openalex.org/I15062923"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1827,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.84454721,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"6","issue":"4","first_page":"6026","last_page":"6033"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7053860425949097},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6825737357139587},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.597899317741394},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5612960457801819},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4772990942001343},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.44789984822273254},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4304996728897095},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2749365568161011}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7053860425949097},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6825737357139587},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.597899317741394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5612960457801819},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4772990942001343},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.44789984822273254},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4304996728897095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2749365568161011},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2018.2867083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2018.2867083","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8299999833106995,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G1896112739","display_name":null,"funder_award_id":"17JCZDJC30600","funder_id":"https://openalex.org/F4320323993","funder_display_name":"Natural Science Foundation of Tianjin City"},{"id":"https://openalex.org/G248294826","display_name":null,"funder_award_id":"61711530240","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2984157084","display_name":null,"funder_award_id":"61501327","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3908059555","display_name":null,"funder_award_id":"135202RC1703","funder_id":"https://openalex.org/F4320324792","funder_display_name":"Tianjin Normal University"},{"id":"https://openalex.org/G482263134","display_name":null,"funder_award_id":"201708120040","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G7601827248","display_name":null,"funder_award_id":"201708120039","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320323993","display_name":"Natural Science Foundation of Tianjin City","ror":null},{"id":"https://openalex.org/F4320324792","display_name":"Tianjin Normal University","ror":"https://ror.org/05x2td559"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W589973208","https://openalex.org/W1484228140","https://openalex.org/W1522301498","https://openalex.org/W1565176903","https://openalex.org/W1565327149","https://openalex.org/W1722318740","https://openalex.org/W1882958252","https://openalex.org/W1982068528","https://openalex.org/W1997822789","https://openalex.org/W2064447488","https://openalex.org/W2104068492","https://openalex.org/W2114760689","https://openalex.org/W2115403315","https://openalex.org/W2147141800","https://openalex.org/W2149466042","https://openalex.org/W2150210531","https://openalex.org/W2153635508","https://openalex.org/W2155541015","https://openalex.org/W2159001013","https://openalex.org/W2159291411","https://openalex.org/W2163352848","https://openalex.org/W2163605009","https://openalex.org/W2163708240","https://openalex.org/W2194775991","https://openalex.org/W2214409633","https://openalex.org/W2312004824","https://openalex.org/W2557626841","https://openalex.org/W2770587725","https://openalex.org/W2781500483","https://openalex.org/W2783318011","https://openalex.org/W2784792583","https://openalex.org/W2789731659","https://openalex.org/W2798757544","https://openalex.org/W2800799576","https://openalex.org/W2949280493","https://openalex.org/W2963168418","https://openalex.org/W2963275094","https://openalex.org/W2963826681","https://openalex.org/W2964121744","https://openalex.org/W2964278684","https://openalex.org/W2964288524","https://openalex.org/W4294375521","https://openalex.org/W6633602821","https://openalex.org/W6633949838","https://openalex.org/W6639480849","https://openalex.org/W6681637710","https://openalex.org/W6681930583","https://openalex.org/W6682778277","https://openalex.org/W6683633756","https://openalex.org/W6684191040","https://openalex.org/W6685415078","https://openalex.org/W6698101244","https://openalex.org/W6713955831"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W1482209366","https://openalex.org/W2110523656","https://openalex.org/W2521627374","https://openalex.org/W2981954115","https://openalex.org/W2901057123"],"abstract_inverted_index":{"Recently,":[0],"Visual":[1],"Internet":[2],"of":[3,65],"Things":[4],"(VIoT)":[5],"has":[6],"become":[7],"a":[8,63,88,179],"fast-growing":[9],"field":[10],"based":[11],"on":[12,20,213],"various":[13,38],"applications.":[14],"In":[15,76],"this":[16],"paper,":[17],"we":[18,86,193],"focus":[19],"two":[21,162,214],"critical":[22],"challenges":[23],"for":[24,105,203],"applications":[25],"in":[26,41,49,107,206],"VIoT,":[27],"i.e.,":[28],"domain":[29,147,215],"adaptation":[30,216],"and":[31,58,67,83,102,120,148,152,218],"energy":[32],"saving.":[33],"The":[34,109,208],"images":[35,70,82,106,130],"captured":[36],"by":[37],"visual":[39,50,53,133,200],"sensors":[40],"VIoT":[42,61],"appear":[43],"quite":[44],"different":[45,132],"due":[46],"to":[47,78,114,157,173,197],"changes":[48],"sensor":[51,54],"locations,":[52],"settings,":[55],"image":[56,204],"resolutions,":[57],"illuminations.":[59],"Meanwhile,":[60],"generates":[62],"number":[64],"images,":[66],"transmitting":[68],"original":[69,185],"would":[71],"take":[72],"up":[73],"much":[74],"bandwidth.":[75],"order":[77],"effectively":[79],"classify":[80],"such":[81,195],"save":[84],"energy,":[85],"propose":[87],"novel":[89],"deep":[90,95],"model":[91],"named":[92],"hybrid":[93],"cross":[94,117,137],"network":[96],"(HCDN),":[97],"which":[98,177],"could":[99],"learn":[100],"domain-invariant":[101],"discriminative":[103],"features":[104],"VIoT.":[108,207],"proposed":[110,171,209],"HCDN":[111,172,210],"is":[112,126,211],"designed":[113],"contain":[115],"the":[116,121,136,141,145,149,154,159,166,170,184,198,219],"regularization":[118,138],"loss":[119,139],"classification":[122,205],"loss.":[123],"Moreover,":[124],"it":[125],"also":[127],"trained":[128],"with":[129],"from":[131,144,169],"sensors.":[134],"Specifically,":[135],"selects":[140],"triplet":[142],"samples":[143],"source":[146],"target":[150],"domain,":[151],"adopts":[153],"calibration":[155],"parameter":[156],"align":[158],"difference":[160],"between":[161],"domains.":[163],"We":[164],"employ":[165],"vector":[167],"extracted":[168],"represent":[174],"each":[175],"image,":[176],"requires":[178],"smaller":[180],"storage":[181],"capacity":[182],"than":[183],"images.":[186],"Energy":[187],"consumption":[188],"will":[189],"be":[190],"reduced":[191],"when":[192],"transmit":[194],"vectors":[196],"intelligent":[199],"label":[201],"system":[202],"verified":[212],"datasets,":[217],"experimental":[220],"results":[221],"prove":[222],"its":[223],"effectiveness.":[224]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
