{"id":"https://openalex.org/W4403886547","doi":"https://doi.org/10.1145/3671127.3699687","title":"Robust and Data Efficient Classification for IoT based sensing","display_name":"Robust and Data Efficient Classification for IoT based sensing","publication_year":2024,"publication_date":"2024-10-29","ids":{"openalex":"https://openalex.org/W4403886547","doi":"https://doi.org/10.1145/3671127.3699687"},"language":"en","primary_location":{"id":"doi:10.1145/3671127.3699687","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3671127.3699687","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","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/A5059887480","display_name":"Tushar Routh","orcid":"https://orcid.org/0000-0003-1631-2001"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tushar Routh","raw_affiliation_strings":["PhD Candidate, University of Virginia, Charlottesville, Virginia, USA"],"affiliations":[{"raw_affiliation_string":"PhD Candidate, University of Virginia, Charlottesville, Virginia, USA","institution_ids":["https://openalex.org/I51556381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5059887480"],"corresponding_institution_ids":["https://openalex.org/I51556381"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17809201,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"260","last_page":"261"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9959999918937683,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9945999979972839,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7255350351333618},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.6363275051116943},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39512529969215393},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3608199954032898},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1540115475654602}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7255350351333618},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.6363275051116943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39512529969215393},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3608199954032898},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1540115475654602}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3671127.3699687","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3671127.3699687","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W4287194161","https://openalex.org/W4317927941"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4245926026","https://openalex.org/W4311097251","https://openalex.org/W2586548817","https://openalex.org/W2390279801","https://openalex.org/W2625093826","https://openalex.org/W4391913857","https://openalex.org/W2358668433"],"abstract_inverted_index":{"For":[0],"daylong":[1],"indoor":[2,8,54,59],"events":[3,55],"classification,":[4],"energy-efficient":[5],"design":[6],"of":[7,86,106],"sensors":[9,13,43,60],"are":[10,14,56,95],"vital.":[11],"Indoor":[12],"often":[15],"designed":[16],"to":[17,21,30,53,136],"transmit":[18],"collected":[19],"data":[20,118],"remote":[22,71],"platforms,":[23],"such":[24],"as":[25,92],"cloud":[26],"or":[27],"edge":[28],"devices,":[29],"handle":[31],"resource-intensive":[32],"post-processing":[33],"tasks.":[34],"To":[35],"extend":[36],"operational":[37],"lifespan":[38],"under":[39],"power":[40],"restrictions,":[41],"these":[42,137],"should":[44,61],"operate":[45],"smartly.":[46],"Since":[47],"fluctuations":[48],"in":[49,125],"sensed":[50],"values":[51],"related":[52],"typically":[57],"brief,":[58],"suppress":[62],"insignificant":[63],"part":[64],"and":[65,121],"offload":[66],"only":[67],"critical":[68],"information":[69],"for":[70,90],"classification.":[72],"This":[73,131],"approach":[74],"can":[75],"enormously":[76],"conserve":[77],"energy":[78,110],"on":[79],"the":[80,116],"sensor":[81],"node":[82],"by":[83],"minimizing":[84],"number":[85],"required":[87],"wireless":[88],"transmissions":[89,94],"offloading,":[91],"radio":[93],"far":[96],"more":[97],"power-intensive":[98],"than":[99],"local":[100],"processing.":[101],"However,":[102],"challenges":[103],"like":[104],"identification":[105],"key":[107],"segments,":[108],"balancing":[109],"efficiency":[111],"with":[112],"classification":[113],"accuracy,":[114],"determining":[115],"appropriate":[117],"compression":[119],"technique,":[120],"finally,":[122],"ensuring":[123],"robustness":[124],"real-world":[126],"conditions":[127],"must":[128],"be":[129],"addressed.":[130],"study":[132],"will":[133],"explore":[134],"solutions":[135],"challenges.":[138]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}