{"id":"https://openalex.org/W4313016045","doi":"https://doi.org/10.1109/jiot.2022.3221080","title":"Efficient IoT Big Data Streaming With Deep-Learning-Enabled Dynamics","display_name":"Efficient IoT Big Data Streaming With Deep-Learning-Enabled Dynamics","publication_year":2022,"publication_date":"2022-11-11","ids":{"openalex":"https://openalex.org/W4313016045","doi":"https://doi.org/10.1109/jiot.2022.3221080"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2022.3221080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2022.3221080","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":true,"oa_status":"green","oa_url":"https://air.unimi.it/bitstream/2434/947710/2/IOT%20Paper%20Final%20Version_CameraReady.PDF","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008324840","display_name":"Junhua Wong","orcid":null},"institutions":[{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]},{"id":"https://openalex.org/I135191193","display_name":"University of Indianapolis","ror":"https://ror.org/052133d12","country_code":"US","type":"education","lineage":["https://openalex.org/I135191193"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Junhua Wong","raw_affiliation_strings":["School of Engineering and Technology, Purdue University, Indianapolis, IN, USA"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Technology, Purdue University, Indianapolis, IN, USA","institution_ids":["https://openalex.org/I135191193","https://openalex.org/I55769427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009147954","display_name":"Vincenzo Piuri","orcid":"https://orcid.org/0000-0003-3178-8198"},"institutions":[{"id":"https://openalex.org/I189158943","display_name":"University of Milan","ror":"https://ror.org/00wjc7c48","country_code":"IT","type":"education","lineage":["https://openalex.org/I189158943"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Vincenzo Piuri","raw_affiliation_strings":["Department of Computer Science, University of Milan, Milan, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Milan, Milan, Italy","institution_ids":["https://openalex.org/I189158943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004969615","display_name":"Fabio Scotti","orcid":"https://orcid.org/0000-0002-4277-3701"},"institutions":[{"id":"https://openalex.org/I189158943","display_name":"University of Milan","ror":"https://ror.org/00wjc7c48","country_code":"IT","type":"education","lineage":["https://openalex.org/I189158943"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabio Scotti","raw_affiliation_strings":["Department of Computer Science, University of Milan, Milan, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Milan, Milan, Italy","institution_ids":["https://openalex.org/I189158943"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101659962","display_name":"Qingxue Zhang","orcid":"https://orcid.org/0000-0001-7125-7928"},"institutions":[{"id":"https://openalex.org/I55769427","display_name":"Indiana University \u2013 Purdue University Indianapolis","ror":"https://ror.org/05gxnyn08","country_code":"US","type":"education","lineage":["https://openalex.org/I55769427","https://openalex.org/I592451"]},{"id":"https://openalex.org/I135191193","display_name":"University of Indianapolis","ror":"https://ror.org/052133d12","country_code":"US","type":"education","lineage":["https://openalex.org/I135191193"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qingxue Zhang","raw_affiliation_strings":["School of Engineering and Technology, Purdue University, Indianapolis, IN, USA"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Technology, Purdue University, Indianapolis, IN, USA","institution_ids":["https://openalex.org/I135191193","https://openalex.org/I55769427"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5008324840"],"corresponding_institution_ids":["https://openalex.org/I135191193","https://openalex.org/I55769427"],"apc_list":null,"apc_paid":null,"fwci":0.6567,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71784045,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"10","issue":"6","first_page":"4770","last_page":"4782"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9940000176429749,"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":0.8563042283058167},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.8226571083068848},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6318137645721436},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.557643711566925},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5465107560157776},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4499191641807556},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.43890613317489624},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4121481776237488},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40267422795295715},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3926886320114136},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.379997193813324},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3349764347076416},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.11161410808563232}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8563042283058167},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.8226571083068848},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6318137645721436},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.557643711566925},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5465107560157776},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4499191641807556},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.43890613317489624},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4121481776237488},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40267422795295715},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3926886320114136},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.379997193813324},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3349764347076416},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11161410808563232},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/jiot.2022.3221080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2022.3221080","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"},{"id":"pmh:oai:air.unimi.it:2434/947710","is_oa":true,"landing_page_url":"https://hdl.handle.net/2434/947710","pdf_url":"https://air.unimi.it/bitstream/2434/947710/2/IOT%20Paper%20Final%20Version_CameraReady.PDF","source":{"id":"https://openalex.org/S4306400516","display_name":"Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I189158943","host_organization_name":"University of Milan","host_organization_lineage":["https://openalex.org/I189158943"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:scholarworks.indianapolis.iu.edu:1805/37315","is_oa":false,"landing_page_url":"https://doi.org/10.1109/JIOT.2022.3221080","pdf_url":null,"source":{"id":"https://openalex.org/S4306400987","display_name":"IUScholarWorks (Indiana University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I592451","host_organization_name":"Indiana University","host_organization_lineage":["https://openalex.org/I592451"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Author","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:air.unimi.it:2434/947710","is_oa":true,"landing_page_url":"https://hdl.handle.net/2434/947710","pdf_url":"https://air.unimi.it/bitstream/2434/947710/2/IOT%20Paper%20Final%20Version_CameraReady.PDF","source":{"id":"https://openalex.org/S4306400516","display_name":"Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I189158943","host_organization_name":"University of Milan","host_organization_lineage":["https://openalex.org/I189158943"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4313016045.pdf","grobid_xml":"https://content.openalex.org/works/W4313016045.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W2005741784","https://openalex.org/W2095409369","https://openalex.org/W2104655872","https://openalex.org/W2117063635","https://openalex.org/W2118286367","https://openalex.org/W2751389611","https://openalex.org/W2756336019","https://openalex.org/W2799335795","https://openalex.org/W2801690207","https://openalex.org/W2891561751","https://openalex.org/W2903167507","https://openalex.org/W2903273597","https://openalex.org/W2916129379","https://openalex.org/W2943662519","https://openalex.org/W2955070708","https://openalex.org/W2969967921","https://openalex.org/W2991304911","https://openalex.org/W3004851563","https://openalex.org/W3006740354","https://openalex.org/W3029100345","https://openalex.org/W3034474794","https://openalex.org/W3102853592","https://openalex.org/W3128566938","https://openalex.org/W3132991382","https://openalex.org/W3177503265","https://openalex.org/W4206126837","https://openalex.org/W4210423040","https://openalex.org/W4220981635","https://openalex.org/W4225926485","https://openalex.org/W4235606958","https://openalex.org/W4253366578","https://openalex.org/W4287888440","https://openalex.org/W6683852811","https://openalex.org/W6743931914"],"related_works":["https://openalex.org/W2159052453","https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2752972570","https://openalex.org/W4297051394","https://openalex.org/W2734887215","https://openalex.org/W2803255133","https://openalex.org/W2909431601","https://openalex.org/W4294770367"],"abstract_inverted_index":{"Internet":[0],"of":[1,32,87,117,150],"Medical":[2],"Things":[3],"(IoMT)":[4],"is":[5,28,103,182],"igniting":[6],"many":[7],"emerging":[8],"smart":[9],"health":[10],"applications,":[11],"by":[12],"continuously":[13],"streaming":[14,144,190],"the":[15,29,72,97,110,115,132,148,153,169],"big":[16,26,188],"data":[17,27,34,58,143,189],"for":[18,57],"data-driven":[19],"innovations.":[20],"One":[21],"critical":[22],"obstacle":[23],"in":[24,131],"IoMT":[25,45,187],"power":[30,68],"hungriness":[31],"long-term":[33],"transmission.":[35],"Targeting":[36],"this":[37],"challenge,":[38],"we":[39,162],"propose":[40],"a":[41,88,141],"novel":[42],"framework":[43,74],"called,":[44],"big-data":[46],"Bayesian-backward":[47,79],"deep-encoder":[48],"learning":[49,91],"(IBBD),":[50],"which":[51],"mines":[52],"deep":[53,90],"autoencoder":[54],"(AE)":[55],"configurations":[56,172],"sparsification":[59],"and":[60,67,95,120,146,161],"determines":[61],"optimal":[62,170],"tradeoffs":[63,130],"between":[64],"information":[65],"loss":[66],"overhead.":[69],"More":[70],"specifically,":[71],"IBBD":[73,101,151,166],"leverages":[75,123],"an":[76],"additional":[77],"external":[78],"loop":[80,92],"that":[81,93,113],"recommends":[82],"AE":[83,98,118,171],"configurations,":[84,119],"on":[85,105,140,174],"top":[86],"traditional":[89],"executes":[94],"evaluate":[96],"quality.":[99],"The":[100],"recommendation":[102],"based":[104],"confidence":[106],"to":[107,126,177,184],"further":[108,122,164],"minimize":[109],"regularized":[111],"metrics":[112],"quantify":[114],"quality":[116],"it":[121],"regularization":[124],"techniques":[125],"allow":[127],"adjusting":[128],"error\u2013power":[129],"mining":[133],"process.":[134],"We":[135],"have":[136,163],"conducted":[137],"thorough":[138],"experiments":[139],"cardiac":[142],"application":[145],"demonstrated":[147],"superiority":[149],"over":[152],"common":[154],"practices":[155,191],"such":[156],"as":[157],"discrete":[158],"wavelet":[159],"transform,":[160],"generalized":[165],"through":[167],"validating":[168],"determined":[173],"one":[175],"user":[176],"other":[178],"users.":[179],"This":[180],"study":[181],"expected":[183],"greatly":[185],"advance":[186],"toward":[192],"precision":[193],"medicine.":[194]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2023-01-05T00:00:00"}