{"id":"https://openalex.org/W4400811504","doi":"https://doi.org/10.1109/eucnc/6gsummit60053.2024.10597098","title":"A Deep Learning Approach in RIS-based Indoor Localization","display_name":"A Deep Learning Approach in RIS-based Indoor Localization","publication_year":2024,"publication_date":"2024-06-03","ids":{"openalex":"https://openalex.org/W4400811504","doi":"https://doi.org/10.1109/eucnc/6gsummit60053.2024.10597098"},"language":"en","primary_location":{"id":"doi:10.1109/eucnc/6gsummit60053.2024.10597098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eucnc/6gsummit60053.2024.10597098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Joint European Conference on Networks and Communications &amp;amp; 6G Summit (EuCNC/6G Summit)","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/A5061567729","display_name":"Rafael Alves de Aguiar","orcid":"https://orcid.org/0000-0002-0056-9542"},"institutions":[{"id":"https://openalex.org/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Rafael A. Aguiar","raw_affiliation_strings":["INESC TEC,Porto,Portugal"],"affiliations":[{"raw_affiliation_string":"INESC TEC,Porto,Portugal","institution_ids":["https://openalex.org/I4210166615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001691675","display_name":"Nuno Paulino","orcid":"https://orcid.org/0000-0001-5547-0323"},"institutions":[{"id":"https://openalex.org/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Nuno Paulino","raw_affiliation_strings":["INESC TEC,Porto,Portugal"],"affiliations":[{"raw_affiliation_string":"INESC TEC,Porto,Portugal","institution_ids":["https://openalex.org/I4210166615"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067749527","display_name":"L. M. Pessoa","orcid":"https://orcid.org/0000-0001-6805-7191"},"institutions":[{"id":"https://openalex.org/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Lu\u00eds M. Pessoa","raw_affiliation_strings":["INESC TEC,Porto,Portugal"],"affiliations":[{"raw_affiliation_string":"INESC TEC,Porto,Portugal","institution_ids":["https://openalex.org/I4210166615"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061567729"],"corresponding_institution_ids":["https://openalex.org/I4210166615"],"apc_list":null,"apc_paid":null,"fwci":1.0624,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.76744868,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"523","last_page":"528"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9997000098228455,"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":0.9997000098228455,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9894000291824341,"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"}},{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9739000201225281,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6198675036430359},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5153445601463318},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4407104253768921}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6198675036430359},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5153445601463318},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4407104253768921}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/eucnc/6gsummit60053.2024.10597098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eucnc/6gsummit60053.2024.10597098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Joint European Conference on Networks and Communications &amp;amp; 6G Summit (EuCNC/6G Summit)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334322","display_name":"HORIZON EUROPE Framework Programme","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1483284482","https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1982686915","https://openalex.org/W2024327917","https://openalex.org/W2240536489","https://openalex.org/W2898606889","https://openalex.org/W2924420910","https://openalex.org/W2950077417","https://openalex.org/W2984937369","https://openalex.org/W3104300639","https://openalex.org/W3119312912","https://openalex.org/W3121523871","https://openalex.org/W3214875997","https://openalex.org/W4226266570","https://openalex.org/W4282965792","https://openalex.org/W4285238407","https://openalex.org/W4285280291","https://openalex.org/W4393028172","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6666761814","https://openalex.org/W6738647598","https://openalex.org/W6742597367","https://openalex.org/W6747647336","https://openalex.org/W6756005648","https://openalex.org/W6782144733","https://openalex.org/W6784371648","https://openalex.org/W6786310677"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W4323565446"],"abstract_inverted_index":{"In":[0],"the":[1,58,79,91,94],"domain":[2],"of":[3,41,61,88,93],"RIS-based":[4],"indoor":[5],"localization,":[6],"our":[7,98],"work":[8],"introduces":[9],"two":[10],"distinct":[11],"approaches":[12],"to":[13],"address":[14],"real-world":[15],"challenges.":[16],"The":[17,32],"first":[18],"method":[19],"is":[20],"based":[21],"on":[22],"deep":[23,42],"learning,":[24],"employing":[25],"a":[26,34,85],"Long":[27],"Short-Term":[28],"Memory":[29],"(LSTM)":[30],"network.":[31],"second,":[33],"novel":[35],"LSTM-PSO":[36],"hybrid,":[37],"strategically":[38],"takes":[39],"advantage":[40],"learning":[43],"and":[44,57],"optimization":[45],"techniques.":[46],"Our":[47,68],"simulations":[48],"encompass":[49],"practical":[50],"scenarios,":[51],"including":[52,90],"variations":[53],"in":[54,65,84,107],"RIS":[55],"placement":[56],"intricate":[59],"dynamics":[60],"multipath":[62,95],"effects,":[63],"all":[64],"Non-Line-of-Sight":[66],"conditions.":[67],"methods":[69],"can":[70],"achieve":[71],"very":[72],"high":[73],"reliability,":[74],"obtaining":[75],"centimeter-level":[76],"accuracy":[77,106],"for":[78],"98th":[80],"percentile":[81],"(worst":[82],"case)":[83],"different":[86],"set":[87],"conditions,":[89],"presence":[92],"effect.":[96],"Furthermore,":[97],"hybrid":[99],"approach":[100],"showcases":[101],"remarkable":[102],"resolution,":[103],"achieving":[104],"sub-millimeter-level":[105],"numerous":[108],"scenarios.":[109]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
