{"id":"https://openalex.org/W2902611338","doi":"https://doi.org/10.1109/jiot.2018.2884485","title":"A Feature-Based Learning System for Internet of Things Applications","display_name":"A Feature-Based Learning System for Internet of Things Applications","publication_year":2018,"publication_date":"2018-12-04","ids":{"openalex":"https://openalex.org/W2902611338","doi":"https://doi.org/10.1109/jiot.2018.2884485","mag":"2902611338"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2018.2884485","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2018.2884485","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/A5100416785","display_name":"Dapeng Wu","orcid":"https://orcid.org/0000-0003-2105-9418"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dapeng Wu","raw_affiliation_strings":["School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041683820","display_name":"Hang Shi","orcid":"https://orcid.org/0000-0002-6326-9942"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Shi","raw_affiliation_strings":["School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100419573","display_name":"Honggang Wang","orcid":"https://orcid.org/0000-0001-9475-2630"},"institutions":[{"id":"https://openalex.org/I100633361","display_name":"University of Massachusetts Dartmouth","ror":"https://ror.org/00fzmm222","country_code":"US","type":"education","lineage":["https://openalex.org/I100633361"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Honggang Wang","raw_affiliation_strings":["Electrical and Computer Engineering Department, University of Massachusetts Dartmouth, Dartmouth, MA, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, University of Massachusetts Dartmouth, Dartmouth, MA, USA","institution_ids":["https://openalex.org/I100633361"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015476236","display_name":"Ruyan Wang","orcid":"https://orcid.org/0000-0003-3109-4807"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruyan Wang","raw_affiliation_strings":["School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084745600","display_name":"Hua Fang","orcid":"https://orcid.org/0000-0002-5026-1132"},"institutions":[{"id":"https://openalex.org/I100633361","display_name":"University of Massachusetts Dartmouth","ror":"https://ror.org/00fzmm222","country_code":"US","type":"education","lineage":["https://openalex.org/I100633361"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hua Fang","raw_affiliation_strings":["Computer and Information Science Department, University of Massachusetts Dartmouth, Dartmouth, MA, USA"],"affiliations":[{"raw_affiliation_string":"Computer and Information Science Department, University of Massachusetts Dartmouth, Dartmouth, MA, USA","institution_ids":["https://openalex.org/I100633361"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100416785"],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":null,"apc_paid":null,"fwci":16.9389,"has_fulltext":false,"cited_by_count":146,"citation_normalized_percentile":{"value":0.99240753,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"6","issue":"2","first_page":"1928","last_page":"1937"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9986000061035156,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9986000061035156,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9959999918937683,"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"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.8635110855102539},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.653626024723053},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5846697688102722},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5627855062484741},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5374859571456909},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.4848824441432953},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45819956064224243},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45326799154281616},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.44453462958335876},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.42754191160202026},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4240809679031372},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41034823656082153},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4092473089694977},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3948741555213928},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.23947128653526306}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8635110855102539},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.653626024723053},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5846697688102722},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5627855062484741},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5374859571456909},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.4848824441432953},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45819956064224243},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45326799154281616},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.44453462958335876},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.42754191160202026},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4240809679031372},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41034823656082153},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4092473089694977},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3948741555213928},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.23947128653526306},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2018.2884485","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2018.2884485","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":[{"score":0.9100000262260437,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G7873053424","display_name":null,"funder_award_id":"61771082","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8766992697","display_name":null,"funder_award_id":"CXTDX201601020","funder_id":"https://openalex.org/F4320327791","funder_display_name":"Program for Innovation Team Building at Institutions of Higher Education in Chongqing"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327791","display_name":"Program for Innovation Team Building at Institutions of Higher Education in Chongqing","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1484537074","https://openalex.org/W1542232096","https://openalex.org/W1546507958","https://openalex.org/W1559384589","https://openalex.org/W1955817489","https://openalex.org/W2006599533","https://openalex.org/W2010254953","https://openalex.org/W2030754587","https://openalex.org/W2044628510","https://openalex.org/W2048685544","https://openalex.org/W2052873478","https://openalex.org/W2078740191","https://openalex.org/W2087789393","https://openalex.org/W2092952332","https://openalex.org/W2103955025","https://openalex.org/W2107264220","https://openalex.org/W2108714833","https://openalex.org/W2118057138","https://openalex.org/W2127364047","https://openalex.org/W2128416112","https://openalex.org/W2142876645","https://openalex.org/W2145856765","https://openalex.org/W2165796867","https://openalex.org/W2166923577","https://openalex.org/W2263128276","https://openalex.org/W2376912106","https://openalex.org/W2427241640","https://openalex.org/W2471450552","https://openalex.org/W2511885285","https://openalex.org/W2518727987","https://openalex.org/W2520191464","https://openalex.org/W2523664694","https://openalex.org/W2751727161","https://openalex.org/W2930562299","https://openalex.org/W3146346600","https://openalex.org/W6628971661","https://openalex.org/W6632860626","https://openalex.org/W6684608959","https://openalex.org/W6718162677","https://openalex.org/W6989860469"],"related_works":["https://openalex.org/W2105642232","https://openalex.org/W1975451135","https://openalex.org/W2989915292","https://openalex.org/W3197833032","https://openalex.org/W2890570089","https://openalex.org/W3207332793","https://openalex.org/W2073793005","https://openalex.org/W4386081464","https://openalex.org/W2111773953","https://openalex.org/W1993210935"],"abstract_inverted_index":{"In":[0,81],"many":[1],"applications":[2,91],"of":[3,5,11,77,107,114,156],"Internet":[4],"Things":[6],"(IoT),":[7],"the":[8,39,48,52,72,105,110,115,121,127,143,148,153,164],"huge":[9],"amount":[10],"data":[12,24,97,116],"are":[13,21,79,117],"generated":[14],"by":[15,151],"sensor":[16,35],"nodes":[17,33],"and":[18,26,46,59,74,98,112,130,163],"processing":[19],"them":[20],"complex.":[22],"Offloading":[23],"classification":[25,58,122,149],"anomaly":[27,60,100,144],"event":[28,145],"detection":[29,61],"tasks":[30],"to":[31,67,94,119,141],"sink":[32],"in":[34],"networks":[36],"can":[37,125,159,166],"reduce":[38,126],"computing":[40,73],"complexity,":[41],"lower":[42],"remote":[43],"communication":[44],"loads,":[45],"improve":[47],"response":[49],"time":[50,155],"for":[51,89,169],"delay-sensitive":[53],"IoT":[54,69,90],"applications.":[55],"Many":[56],"existing":[57],"methods":[62],"cannot":[63],"be":[64,160,167],"directly":[65],"applied":[66],"these":[68],"applications,":[70],"because":[71],"energy":[75,131],"resources":[76],"sensors":[78],"limited.":[80],"this":[82],"paper,":[83],"a":[84],"new":[85],"feature-based":[86],"learning":[87],"system":[88],"is":[92,139],"proposed":[93],"effectively":[95],"classify":[96],"detect":[99,142],"event.":[101],"Especially,":[102],"based":[103,146],"on":[104,147],"theory":[106],"distributed":[108],"compression,":[109],"sparsity":[111],"relativity":[113],"exploited":[118],"obtain":[120],"features,":[123],"which":[124,152],"computation":[128],"overhead":[129],"consumption.":[132],"Further,":[133],"an":[134],"RBF-BP":[135],"hybrid":[136],"neural":[137,157],"network":[138,158],"employed":[140],"results,":[150],"training":[154],"significantly":[161],"reduced":[162],"accuracy":[165],"improved":[168],"users'":[170],"decisions.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":41},{"year":2019,"cited_by_count":44},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
