{"id":"https://openalex.org/W3197719881","doi":"https://doi.org/10.1109/socc49529.2020.9524755","title":"End-to-end Scalable and Low Power Multi-modal CNN for Respiratory-related Symptoms Detection","display_name":"End-to-end Scalable and Low Power Multi-modal CNN for Respiratory-related Symptoms Detection","publication_year":2020,"publication_date":"2020-09-08","ids":{"openalex":"https://openalex.org/W3197719881","doi":"https://doi.org/10.1109/socc49529.2020.9524755","mag":"3197719881"},"language":"en","primary_location":{"id":"doi:10.1109/socc49529.2020.9524755","is_oa":false,"landing_page_url":"https://doi.org/10.1109/socc49529.2020.9524755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 33rd International System-on-Chip Conference (SOCC)","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/A5100764063","display_name":"Haoran Ren","orcid":"https://orcid.org/0000-0002-3322-1745"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Haoran Ren","raw_affiliation_strings":["University of Maryland, Baltimore County, Baltimore, USA"],"affiliations":[{"raw_affiliation_string":"University of Maryland, Baltimore County, Baltimore, USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007957361","display_name":"Arnab Neelim Mazumder","orcid":"https://orcid.org/0000-0002-9550-7917"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arnab Neelim Mazumder","raw_affiliation_strings":["University of Maryland, Baltimore County, Baltimore, USA"],"affiliations":[{"raw_affiliation_string":"University of Maryland, Baltimore County, Baltimore, USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082854741","display_name":"Hasib-Al Rashid","orcid":"https://orcid.org/0000-0002-9983-6929"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hasib-Al Rashid","raw_affiliation_strings":["University of Maryland, Baltimore County, Baltimore, USA"],"affiliations":[{"raw_affiliation_string":"University of Maryland, Baltimore County, Baltimore, USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060312358","display_name":"Vandana Chandrareddy","orcid":null},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vandana Chandrareddy","raw_affiliation_strings":["University of Maryland, Baltimore County, Baltimore, USA"],"affiliations":[{"raw_affiliation_string":"University of Maryland, Baltimore County, Baltimore, USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067589584","display_name":"Aidin Shiri","orcid":"https://orcid.org/0000-0001-5402-0988"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aidin Shiri","raw_affiliation_strings":["University of Maryland, Baltimore County, Baltimore, USA"],"affiliations":[{"raw_affiliation_string":"University of Maryland, Baltimore County, Baltimore, USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020502571","display_name":"Nitheesh Kumar Manjunath","orcid":"https://orcid.org/0000-0003-1745-9072"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nitheesh Kumar Manjunath","raw_affiliation_strings":["University of Maryland, Baltimore County, Baltimore, USA"],"affiliations":[{"raw_affiliation_string":"University of Maryland, Baltimore County, Baltimore, USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084010501","display_name":"Tinoosh Mohsenin","orcid":"https://orcid.org/0000-0001-5551-2124"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tinoosh Mohsenin","raw_affiliation_strings":["University of Maryland, Baltimore County, Baltimore, USA"],"affiliations":[{"raw_affiliation_string":"University of Maryland, Baltimore County, Baltimore, USA","institution_ids":["https://openalex.org/I79272384"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100764063"],"corresponding_institution_ids":["https://openalex.org/I79272384"],"apc_list":null,"apc_paid":null,"fwci":1.386,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.8505419,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12418","display_name":"Respiratory and Cough-Related Research","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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/T12418","display_name":"Respiratory and Cough-Related Research","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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/T11309","display_name":"Music and Audio Processing","score":0.9939000010490417,"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/T13289","display_name":"Infant Health and Development","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/3611","display_name":"Pharmacy"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6911706924438477},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6179778575897217},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5443827509880066},{"id":"https://openalex.org/keywords/end-to-end-principle","display_name":"End-to-end principle","score":0.5101602673530579},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4675254821777344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25105875730514526},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08498087525367737},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.06488919258117676}],"concepts":[{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6911706924438477},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6179778575897217},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5443827509880066},{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.5101602673530579},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4675254821777344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25105875730514526},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08498087525367737},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.06488919258117676},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/socc49529.2020.9524755","is_oa":false,"landing_page_url":"https://doi.org/10.1109/socc49529.2020.9524755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 33rd International System-on-Chip Conference (SOCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1972567154","https://openalex.org/W1995562189","https://openalex.org/W2052666245","https://openalex.org/W2106178993","https://openalex.org/W2119036316","https://openalex.org/W2121284862","https://openalex.org/W2140682197","https://openalex.org/W2191779130","https://openalex.org/W2396572963","https://openalex.org/W2398826216","https://openalex.org/W2511309458","https://openalex.org/W2518911984","https://openalex.org/W2593451766","https://openalex.org/W2769912137","https://openalex.org/W2806476189","https://openalex.org/W2884780389","https://openalex.org/W2891053383","https://openalex.org/W2963353005","https://openalex.org/W2972790064","https://openalex.org/W2998476724","https://openalex.org/W3015034944","https://openalex.org/W3016185152","https://openalex.org/W3041764860","https://openalex.org/W3105837102","https://openalex.org/W3108766273","https://openalex.org/W3112200823","https://openalex.org/W3198784019","https://openalex.org/W4287587695","https://openalex.org/W6712560600","https://openalex.org/W6746451879","https://openalex.org/W6753400539","https://openalex.org/W6775318719","https://openalex.org/W6786416087","https://openalex.org/W6801204003"],"related_works":["https://openalex.org/W2067938758","https://openalex.org/W1527726406","https://openalex.org/W1597381735","https://openalex.org/W2461970972","https://openalex.org/W2364921833","https://openalex.org/W1976363619","https://openalex.org/W2388030554","https://openalex.org/W2302028273","https://openalex.org/W1525643724","https://openalex.org/W2553742524"],"abstract_inverted_index":{"With":[0],"the":[1,4,62,160,174,178,194,211,246,266,271,278],"onset":[2],"of":[3,61,94,102,115,130,163,193,196,213,243,261,274,281],"highly":[5,144],"contagious":[6],"COVID-19":[7],"pandemic,":[8],"early-stage":[9],"and":[10,30,37,52,81,87,100,104,119,202,224],"clinic-independent":[11],"machine":[12],"assistance":[13],"is":[14,170,185,221],"essential":[15],"for":[16,48,107,117,121,166,277],"initial":[17],"disease":[18],"diagnosis":[19],"based":[20,41],"on":[21,42,66,143,226],"its":[22],"symptoms":[23,50],"such":[24],"as":[25],"fever,":[26],"dry":[27],"cough,":[28],"fatigue,":[29],"dyspnea.":[31],"This":[32,154],"paper":[33],"proposes":[34],"a":[35,112,136,207,215],"scalable":[36],"low":[38],"power":[39,146,256],"architecture":[40,110,138,184,220,239,252,269],"end-to-end":[43,179],"Convolutional":[44],"Neural":[45],"Networks":[46],"(CNN)":[47],"respiratory-related":[49],"(cough":[51],"dyspnea)":[53],"detection.":[54],"The":[55,90,109,124,182,218],"CNN-based":[56],"model":[57,92,137,161],"will":[58],"be":[59,141],"part":[60],"final":[63],"product":[64],"running":[65],"general":[67],"computing":[68],"processors":[69],"that":[70,139],"can":[71,140],"assess":[72],"patients":[73],"similar":[74],"to":[75,96,134,158,187,288],"what":[76],"doctors":[77],"do":[78],"at":[79,257],"triage":[80],"telemedicine":[82],"using":[83],"passively":[84],"recorded":[85],"audio":[86,98],"other":[88,247],"information.":[89],"proposed":[91,125,219,267],"consists":[93],"1D-convolutions":[95],"extract":[97],"features":[99],"combinations":[101],"2D-convolutions":[103],"fully-connected":[105],"neurons":[106],"classification.":[108],"achieves":[111],"detection":[113,168,237,250],"accuracy":[114],"87.5%":[116],"cough":[118,167,236],"87.3%":[120],"dyspnea":[122,249],"respectively.":[123],"work":[126],"involves":[127],"extensive":[128],"optimization":[129,155],"parameters":[131],"in":[132,191,206],"order":[133],"develop":[135],"implemented":[142],"constrained":[145],"budget":[147],"devices":[148],"while":[149,283],"maintaining":[150],"high":[151],"classification":[152],"accuracy.":[153],"allows":[156],"us":[157],"achieve":[159],"size":[162],"960":[164],"KB":[165],"which":[169],"193x":[171],"smaller":[172],"than":[173],"related":[175,289],"works":[176],"employing":[177],"CNN":[180],"architecture.":[181],"hardware":[183,238,251,268,282],"designed":[186],"provide":[188],"more":[189],"versatility":[190],"terms":[192],"number":[195],"input":[197],"channels,":[198],"filters,":[199],"data":[200],"width":[201],"processing":[203],"engine":[204],"(P.E.)":[205],"parameterized":[208],"manner":[209],"with":[210],"target":[212],"proposing":[214],"reconfigurable":[216],"hardware.":[217],"fully":[222],"synthesized":[223],"placed-and-routed":[225],"Xilinx":[227],"Artix-7":[228],"FPGA.":[229],"At":[230],"47.6":[231],"MHz":[232],"operating":[233,259],"frequency,":[234],"our":[235],"consumes":[240,253],"211":[241],"mW":[242,255],"power.":[244],"On":[245],"hand,":[248],"207":[254],"an":[258],"frequency":[260],"50":[262],"MHz.":[263],"In":[264],"addition,":[265],"meets":[270],"latency":[272],"deadline":[273],"1s":[275],"needed":[276],"efficient":[279],"operation":[280],"still":[284],"being":[285],"energy-effective":[286],"compared":[287],"work.":[290]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
