{"id":"https://openalex.org/W4290057936","doi":"https://doi.org/10.48550/arxiv.2208.02597","title":"Edge-centric Optimization of Multi-modal ML-driven eHealth Applications","display_name":"Edge-centric Optimization of Multi-modal ML-driven eHealth Applications","publication_year":2022,"publication_date":"2022-08-04","ids":{"openalex":"https://openalex.org/W4290057936","doi":"https://doi.org/10.48550/arxiv.2208.02597"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2208.02597","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2208.02597","pdf_url":"https://arxiv.org/pdf/2208.02597","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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2208.02597","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036371608","display_name":"Anil Kanduri","orcid":"https://orcid.org/0000-0003-3188-8703"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kanduri, Anil","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000229090","display_name":"Sina Shahhosseini","orcid":"https://orcid.org/0000-0002-7967-4547"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shahhosseini, Sina","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021900330","display_name":"Emad Kasaeyan Naeini","orcid":"https://orcid.org/0000-0002-7438-2641"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Naeini, Emad Kasaeyan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024899750","display_name":"Hamidreza Alikhani","orcid":"https://orcid.org/0000-0002-0983-1260"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alikhani, Hamidreza","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019546150","display_name":"Pasi Liljeberg","orcid":"https://orcid.org/0000-0002-9392-3589"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liljeberg, Pasi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007817952","display_name":"Nikil Dutt","orcid":"https://orcid.org/0000-0002-3060-8119"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dutt, Nikil","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5042140592","display_name":"Amir M. Rahmani","orcid":"https://orcid.org/0000-0003-0725-1155"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rahmani, Amir M.","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5036371608"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.9444000124931335,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.9444000124931335,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9416999816894531,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/ehealth","display_name":"eHealth","score":0.9509605169296265},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7845725417137146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7662082314491272},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6280790567398071},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.6241539716720581},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.49627143144607544},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4752499759197235},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4354419708251953},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.42680680751800537},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4076053500175476},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34913888573646545},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3485771417617798},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.27363526821136475},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23450148105621338},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08821555972099304}],"concepts":[{"id":"https://openalex.org/C202645933","wikidata":"https://www.wikidata.org/wiki/Q4930","display_name":"eHealth","level":3,"score":0.9509605169296265},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7845725417137146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7662082314491272},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6280790567398071},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.6241539716720581},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.49627143144607544},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4752499759197235},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4354419708251953},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.42680680751800537},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4076053500175476},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34913888573646545},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3485771417617798},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.27363526821136475},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23450148105621338},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08821555972099304},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2208.02597","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2208.02597","pdf_url":"https://arxiv.org/pdf/2208.02597","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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2208.02597","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2208.02597","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":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2208.02597","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2208.02597","pdf_url":"https://arxiv.org/pdf/2208.02597","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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.41999998688697815,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W4313526662","https://openalex.org/W3111395152","https://openalex.org/W4312996489","https://openalex.org/W3106131444","https://openalex.org/W3216099748","https://openalex.org/W4205963435","https://openalex.org/W4313463379","https://openalex.org/W2893963003"],"abstract_inverted_index":{"Smart":[0,20],"eHealth":[1,21,78,101,111],"applications":[2,22,112],"deliver":[3],"personalized":[4],"and":[5,17,37,65,95],"preventive":[6],"digital":[7],"healthcare":[8],"services":[9],"to":[10,32],"clients":[11],"through":[12,116],"remote":[13],"sensing,":[14],"continuous":[15,51],"monitoring,":[16],"data":[18,25,31,40],"analytics.":[19],"sense":[23],"input":[24,55],"from":[26],"multiple":[27],"modalities,":[28],"transmit":[29],"the":[30,39,74,105],"edge":[33],"and/or":[34],"cloud":[35],"nodes,":[36],"process":[38],"with":[41,50],"compute":[42,68,89],"intensive":[43],"machine":[44],"learning":[45],"(ML)":[46],"algorithms.":[47],"Run-time":[48],"variations":[49],"stream":[52],"of":[53,62,67,76,92,109],"noisy":[54],"data,":[56],"unreliable":[57],"network":[58],"connection,":[59],"computational":[60],"requirements":[61],"ML":[63],"algorithms,":[64],"choice":[66],"placement":[69],"among":[70],"sensor-edge-cloud":[71,118],"layers":[72],"affect":[73],"efficiency":[75],"ML-driven":[77,100],"applications.":[79,102],"In":[80],"this":[81],"chapter,":[82],"we":[83],"present":[84],"edge-centric":[85],"techniques":[86],"for":[87,99,120],"optimized":[88],"placement,":[90],"exploration":[91],"accuracy-performance":[93],"trade-offs,":[94],"cross-layered":[96],"sense-compute":[97],"co-optimization":[98],"We":[103],"demonstrate":[104],"practical":[106],"use":[107],"cases":[108],"smart":[110],"in":[113],"everyday":[114],"settings,":[115],"a":[117],"framework":[119],"an":[121],"objective":[122],"pain":[123],"assessment":[124],"case":[125],"study.":[126]},"counts_by_year":[],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}
