{"id":"https://openalex.org/W2903390802","doi":"https://doi.org/10.1109/globalsip.2018.8646600","title":"A Machine Learning Approach for the Classification of Indoor Environments Using RF Signatures","display_name":"A Machine Learning Approach for the Classification of Indoor Environments Using RF Signatures","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2903390802","doi":"https://doi.org/10.1109/globalsip.2018.8646600","mag":"2903390802"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip.2018.8646600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2018.8646600","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5023991318","display_name":"Mohamed I. AlHajri","orcid":"https://orcid.org/0000-0003-1480-8054"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohamed I. AlHajri","raw_affiliation_strings":["Research Laboratory of Electronics, Massachusetts Institute of Technology, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Laboratory of Electronics, Massachusetts Institute of Technology, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033853183","display_name":"Nazar Ali","orcid":"https://orcid.org/0000-0003-2991-9451"},"institutions":[{"id":"https://openalex.org/I176601375","display_name":"Khalifa University of Science and Technology","ror":"https://ror.org/05hffr360","country_code":"AE","type":"education","lineage":["https://openalex.org/I176601375"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Nazar T. Ali","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Khalifa University, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Khalifa University, UAE","institution_ids":["https://openalex.org/I176601375"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026573056","display_name":"Raed M. Shubair","orcid":"https://orcid.org/0000-0002-2586-9963"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raed M. Shubair","raw_affiliation_strings":["Research Laboratory of Electronics, Massachusetts Institute of Technology, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Laboratory of Electronics, Massachusetts Institute of Technology, USA","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.0654,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.96807939,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9918000102043152,"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/T13121","display_name":"Radio Wave Propagation Studies","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/rss","display_name":"RSS","score":0.8359920382499695},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7097410559654236},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6963189840316772},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5873526334762573},{"id":"https://openalex.org/keywords/radio-frequency","display_name":"Radio frequency","score":0.5744276642799377},{"id":"https://openalex.org/keywords/transfer-function","display_name":"Transfer function","score":0.517080545425415},{"id":"https://openalex.org/keywords/signal-strength","display_name":"Signal strength","score":0.5098940134048462},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4880574941635132},{"id":"https://openalex.org/keywords/radio-propagation","display_name":"Radio propagation","score":0.4878099262714386},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.4703878164291382},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4685434103012085},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4625624418258667},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.45031973719596863},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4443422555923462},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39764392375946045},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.387122243642807},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.37721240520477295},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.35491853952407837},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.19657862186431885},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16429400444030762},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.16340646147727966},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1431100070476532}],"concepts":[{"id":"https://openalex.org/C2385561","wikidata":"https://www.wikidata.org/wiki/Q45432","display_name":"RSS","level":2,"score":0.8359920382499695},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7097410559654236},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6963189840316772},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5873526334762573},{"id":"https://openalex.org/C74064498","wikidata":"https://www.wikidata.org/wiki/Q3396184","display_name":"Radio frequency","level":2,"score":0.5744276642799377},{"id":"https://openalex.org/C81299745","wikidata":"https://www.wikidata.org/wiki/Q334269","display_name":"Transfer function","level":2,"score":0.517080545425415},{"id":"https://openalex.org/C176808163","wikidata":"https://www.wikidata.org/wiki/Q17105794","display_name":"Signal strength","level":3,"score":0.5098940134048462},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4880574941635132},{"id":"https://openalex.org/C202311505","wikidata":"https://www.wikidata.org/wiki/Q1474701","display_name":"Radio propagation","level":2,"score":0.4878099262714386},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.4703878164291382},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4685434103012085},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4625624418258667},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.45031973719596863},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4443422555923462},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39764392375946045},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.387122243642807},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.37721240520477295},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.35491853952407837},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.19657862186431885},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16429400444030762},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.16340646147727966},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1431100070476532},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globalsip.2018.8646600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2018.8646600","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.7200000286102295,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1964122991","https://openalex.org/W1966736954","https://openalex.org/W2077882610","https://openalex.org/W2095697137","https://openalex.org/W2119821739","https://openalex.org/W2166735779","https://openalex.org/W2166859923","https://openalex.org/W2294748733","https://openalex.org/W2547577633","https://openalex.org/W2808452714","https://openalex.org/W4239510810","https://openalex.org/W6752512685","https://openalex.org/W6926228806"],"related_works":["https://openalex.org/W2162859609","https://openalex.org/W150547863","https://openalex.org/W4200318234","https://openalex.org/W1891938465","https://openalex.org/W2982532306","https://openalex.org/W1639914594","https://openalex.org/W4237766728","https://openalex.org/W1550605711","https://openalex.org/W1966084020","https://openalex.org/W2081082468"],"abstract_inverted_index":{"Efficient":[0],"deployment":[1],"of":[2,4,14,32,68,82,88],"Internet":[3],"Things":[5],"(IoT)":[6],"sensors":[7],"primarily":[8],"depends":[9],"on":[10,55],"allowing":[11],"the":[12,20,30,33,66,86,89],"adjustment":[13],"sensor":[15],"power":[16],"consumption":[17],"according":[18],"to":[19],"radio":[21],"frequency":[22],"(RF)":[23],"propagation":[24],"channel":[25,74],"which":[26],"is":[27],"dictated":[28],"by":[29,48],"type":[31,87],"surrounding":[34],"indoor":[35,45,90],"environment.":[36,91],"This":[37],"paper":[38],"develops":[39],"a":[40,79],"machine":[41,52],"learning":[42],"approach":[43],"for":[44,84],"environment":[46],"classification":[47,80],"exploiting":[49],"support":[50],"vector":[51],"(SVM)":[53],"based":[54],"RF":[56],"signatures":[57],"computed":[58],"from":[59],"real-time":[60],"measurements.":[61],"Results":[62],"obtained":[63],"demonstrate":[64],"that":[65],"combination":[67],"received":[69],"signal":[70],"strength":[71],"(RSS)":[72],"and":[73],"transfer":[75],"function":[76],"(CTF)":[77],"yields":[78],"accuracy":[81],"83.0%":[83],"identifying":[85]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
