{"id":"https://openalex.org/W4402262531","doi":"https://doi.org/10.1109/wincom62286.2024.10655945","title":"Target Localization from mm-Wave Point Clouds Using Deep Learning Based Classifiers","display_name":"Target Localization from mm-Wave Point Clouds Using Deep Learning Based Classifiers","publication_year":2024,"publication_date":"2024-07-23","ids":{"openalex":"https://openalex.org/W4402262531","doi":"https://doi.org/10.1109/wincom62286.2024.10655945"},"language":"en","primary_location":{"id":"doi:10.1109/wincom62286.2024.10655945","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/wincom62286.2024.10655945","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 11th International Conference on Wireless Networks and Mobile Communications (WINCOM)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.1109/WINCOM62286.2024.10655945","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032660491","display_name":"Bisma Amjad","orcid":"https://orcid.org/0000-0003-2007-9847"},"institutions":[{"id":"https://openalex.org/I133837150","display_name":"University of Huddersfield","ror":"https://ror.org/05t1h8f27","country_code":"GB","type":"education","lineage":["https://openalex.org/I133837150"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Bisma Amjad","raw_affiliation_strings":["School of Computing and Engineering, University of Huddersfield,Huddersfield,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Engineering, University of Huddersfield,Huddersfield,UK","institution_ids":["https://openalex.org/I133837150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017766812","display_name":"Qasim Zeeshan Ahmed","orcid":"https://orcid.org/0000-0002-3957-5341"},"institutions":[{"id":"https://openalex.org/I133837150","display_name":"University of Huddersfield","ror":"https://ror.org/05t1h8f27","country_code":"GB","type":"education","lineage":["https://openalex.org/I133837150"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Qasim Z. Ahmed","raw_affiliation_strings":["School of Computing and Engineering, University of Huddersfield,Huddersfield,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Engineering, University of Huddersfield,Huddersfield,UK","institution_ids":["https://openalex.org/I133837150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065790904","display_name":"Faheem A. Khan","orcid":"https://orcid.org/0000-0002-7491-8776"},"institutions":[{"id":"https://openalex.org/I133837150","display_name":"University of Huddersfield","ror":"https://ror.org/05t1h8f27","country_code":"GB","type":"education","lineage":["https://openalex.org/I133837150"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Faheem A. Khan","raw_affiliation_strings":["School of Computing and Engineering, University of Huddersfield,Huddersfield,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Engineering, University of Huddersfield,Huddersfield,UK","institution_ids":["https://openalex.org/I133837150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009244011","display_name":"Zaharias D. Zaharis","orcid":"https://orcid.org/0000-0002-4548-282X"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Zaharias D. Zaharis","raw_affiliation_strings":["School of Electrical and Computing Engineering, Aristotle University of Thessaloniki,Thessaloniki,Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computing Engineering, Aristotle University of Thessaloniki,Thessaloniki,Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074353965","display_name":"Pavlos I. Lazaridis","orcid":"https://orcid.org/0000-0001-5091-2567"},"institutions":[{"id":"https://openalex.org/I133837150","display_name":"University of Huddersfield","ror":"https://ror.org/05t1h8f27","country_code":"GB","type":"education","lineage":["https://openalex.org/I133837150"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Pavlos Lazaridis","raw_affiliation_strings":["School of Computing and Engineering, University of Huddersfield,Huddersfield,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Engineering, University of Huddersfield,Huddersfield,UK","institution_ids":["https://openalex.org/I133837150"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.894,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.66770497,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9972000122070312,"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":0.9972000122070312,"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9940999746322632,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.988099992275238,"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/point-cloud","display_name":"Point cloud","score":0.7037045955657959},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6190499067306519},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6091573238372803},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47384554147720337},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4235677123069763},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32725876569747925},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11263945698738098}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7037045955657959},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6190499067306519},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6091573238372803},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47384554147720337},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4235677123069763},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32725876569747925},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11263945698738098},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/wincom62286.2024.10655945","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/wincom62286.2024.10655945","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 11th International Conference on Wireless Networks and Mobile Communications (WINCOM)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/c4fe9fbb-6908-41b4-ac1b-f25209848703","is_oa":false,"landing_page_url":"https://pure.hud.ac.uk/en/publications/c4fe9fbb-6908-41b4-ac1b-f25209848703","pdf_url":null,"source":{"id":"https://openalex.org/S4306402508","display_name":"Huddersfield Research Portal (University of Huddersfield)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I133837150","host_organization_name":"University of Huddersfield","host_organization_lineage":["https://openalex.org/I133837150"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:zenodo.org:14213499","is_oa":true,"landing_page_url":"https://doi.org/10.1109/WINCOM62286.2024.10655945","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceProceedings"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:14213499","is_oa":true,"landing_page_url":"https://doi.org/10.1109/WINCOM62286.2024.10655945","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceProceedings"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1994239235","https://openalex.org/W2166667055","https://openalex.org/W2585037653","https://openalex.org/W2769209708","https://openalex.org/W2770508362","https://openalex.org/W2791011781","https://openalex.org/W3093643905","https://openalex.org/W3095954159","https://openalex.org/W3119982621","https://openalex.org/W3194620979","https://openalex.org/W4206441333","https://openalex.org/W4225716276","https://openalex.org/W4315925962","https://openalex.org/W4316661003","https://openalex.org/W4317642539","https://openalex.org/W4319865634","https://openalex.org/W4366493123","https://openalex.org/W4382138809","https://openalex.org/W4385248623","https://openalex.org/W4385327621","https://openalex.org/W4386453530","https://openalex.org/W4391128458"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W2058170566","https://openalex.org/W2772917594","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W3009238340","https://openalex.org/W2229312674","https://openalex.org/W2951359407"],"abstract_inverted_index":{"The":[0],"implementation":[1],"of":[2,23,53],"indoor":[3],"localization":[4],"is":[5],"being":[6],"facilitated":[7],"through":[8],"commercially":[9],"available":[10],"low-cost":[11],"mm-wave":[12,63,98],"sensors.":[13],"These":[14],"sensors":[15],"generate":[16],"point":[17,58],"cloud":[18],"outputs":[19],"containing":[20],"noisy":[21],"estimates":[22],"detected":[24],"targets":[25],"due":[26],"to":[27,35,46,81],"hardware":[28],"noise":[29],"and":[30,51,71,76,90],"multipath":[31],"reflections.":[32],"In":[33],"contrast":[34],"previously":[36],"studied":[37],"regression":[38],"approaches,":[39],"this":[40],"study":[41],"introduces":[42],"a":[43,54,69],"classification-based":[44],"approach":[45],"predict":[47],"the":[48,82,97],"angle-of-arrival":[49],"(AoA)":[50],"range":[52,77],"human":[55],"target":[56],"from":[57,61],"clouds":[59],"obtained":[60],"an":[62],"sensor.":[64,99],"Our":[65],"proposed":[66],"methodology":[67],"achieves":[68],"7%":[70],"26%":[72],"improvement":[73],"in":[74],"AoA":[75],"prediction,":[78],"respectively,":[79],"compared":[80],"baseline":[83],"models.":[84],"All":[85],"experiments":[86],"have":[87],"been":[88],"conducted":[89],"validated":[91],"using":[92],"real":[93],"data":[94],"recorded":[95],"by":[96]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}
