{"id":"https://openalex.org/W4404739895","doi":"https://doi.org/10.1109/isncc62547.2024.10759068","title":"Automated Warehouse 5G Infrastructure Modeling Using Variational Autoencoders","display_name":"Automated Warehouse 5G Infrastructure Modeling Using Variational Autoencoders","publication_year":2024,"publication_date":"2024-10-22","ids":{"openalex":"https://openalex.org/W4404739895","doi":"https://doi.org/10.1109/isncc62547.2024.10759068"},"language":"en","primary_location":{"id":"doi:10.1109/isncc62547.2024.10759068","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isncc62547.2024.10759068","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Symposium on Networks, Computers and Communications (ISNCC)","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/A5088032795","display_name":"Rahul Gulia","orcid":"https://orcid.org/0000-0001-9209-6502"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rahul Gulia","raw_affiliation_strings":["Rochester Institute of Technology,Department of Computer Engineering,Rochester,NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology,Department of Computer Engineering,Rochester,NY","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051765631","display_name":"Amlan Ganguly","orcid":"https://orcid.org/0000-0002-3616-7596"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amlan Ganguly","raw_affiliation_strings":["Rochester Institute of Technology,Department of Computer Engineering,Rochester,NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology,Department of Computer Engineering,Rochester,NY","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031417073","display_name":"Andres Kwasinski","orcid":"https://orcid.org/0000-0002-8083-8318"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andres Kwasinski","raw_affiliation_strings":["Rochester Institute of Technology,Department of Computer Engineering,Rochester,NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology,Department of Computer Engineering,Rochester,NY","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090427329","display_name":"Michael Kuhl","orcid":"https://orcid.org/0000-0003-2701-0914"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael E. Kuhl","raw_affiliation_strings":["Rochester Institute of Technology,Department of Industrial and Systems Engineering,Rochester,NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology,Department of Industrial and Systems Engineering,Rochester,NY","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040054666","display_name":"Ehsan Rashedi","orcid":"https://orcid.org/0000-0002-2998-4993"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ehsan Rashedi","raw_affiliation_strings":["Rochester Institute of Technology,Department of Industrial and Systems Engineering,Rochester,NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology,Department of Industrial and Systems Engineering,Rochester,NY","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043543663","display_name":"Clark Hochgraf","orcid":"https://orcid.org/0000-0002-4700-2105"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Clark Hochgraf","raw_affiliation_strings":["Rochester Institute of Technology,Department of Electrical and Computer Engineering Technology,Rochester,NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology,Department of Electrical and Computer Engineering Technology,Rochester,NY","institution_ids":["https://openalex.org/I155173764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I155173764"],"apc_list":null,"apc_paid":null,"fwci":0.8355,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.71319616,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14420","display_name":"Advanced Research in Systems and Signal Processing","score":0.7993999719619751,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T14420","display_name":"Advanced Research in Systems and Signal Processing","score":0.7993999719619751,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.6549492478370667},{"id":"https://openalex.org/keywords/data-warehouse","display_name":"Data warehouse","score":0.5528796911239624},{"id":"https://openalex.org/keywords/warehouse","display_name":"Warehouse","score":0.5096123218536377},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.37937816977500916},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35040122270584106},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3284587860107422},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.14038148522377014}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6549492478370667},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.5528796911239624},{"id":"https://openalex.org/C50416739","wikidata":"https://www.wikidata.org/wiki/Q181623","display_name":"Warehouse","level":2,"score":0.5096123218536377},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.37937816977500916},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35040122270584106},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3284587860107422},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.14038148522377014},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isncc62547.2024.10759068","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isncc62547.2024.10759068","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Symposium on Networks, Computers and Communications (ISNCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2158562161","https://openalex.org/W2613625031","https://openalex.org/W2770306289","https://openalex.org/W2919730180","https://openalex.org/W3191155192","https://openalex.org/W4220849141","https://openalex.org/W4229446032","https://openalex.org/W4285279075","https://openalex.org/W4293206054","https://openalex.org/W4321606907","https://openalex.org/W4379382536","https://openalex.org/W4385801375","https://openalex.org/W4386779622","https://openalex.org/W6640963894"],"related_works":["https://openalex.org/W3135624046","https://openalex.org/W2099525665","https://openalex.org/W4399515993","https://openalex.org/W2392996360","https://openalex.org/W2373884155","https://openalex.org/W4200307027","https://openalex.org/W4308822502","https://openalex.org/W2531755459","https://openalex.org/W4388421435","https://openalex.org/W2389559488"],"abstract_inverted_index":{"The":[0,126],"next":[1],"decade":[2],"is":[3,128],"poised":[4],"for":[5,18,74,140],"a":[6,68,121],"transformative":[7],"shift":[8],"in":[9,22,36,87,165],"wireless":[10,90],"communication":[11],"technologies,":[12],"driven":[13],"by":[14],"the":[15,38,48,56,88,94,100,114,136,142,156],"increasing":[16],"demand":[17],"data-intensive":[19],"applications.":[20],"Innovations":[21],"signal":[23],"processing,":[24],"network":[25],"architecture":[26,101],"estimation":[27],"and":[28,30,42,54,61,107,145,161],"design,":[29],"spectrum":[31],"utilization":[32],"will":[33,46],"be":[34],"critical":[35],"realizing":[37],"potential":[39],"of":[40,51,59,96,102,116,158],"5G":[41,89],"beyond.":[43],"These":[44],"advancements":[45],"enable":[47],"seamless":[49],"integration":[50],"emerging":[52],"technologies":[53],"empower":[55],"digital":[57],"transformation":[58],"industries":[60],"society.":[62],"In":[63],"this":[64],"paper,":[65],"we":[66],"introduce":[67],"Variational":[69],"Autoencoder":[70],"(VAE)":[71],"based":[72],"model":[73,127,160],"indoor":[75],"radio":[76],"propagation":[77],"modeling":[78],"within":[79,120],"an":[80],"automated":[81],"Industry4.0":[82],"warehouse":[83,124,132,147,168],"or":[84],"factory":[85],"floor":[86],"bands.":[91],"We":[92,149],"detail":[93],"creation":[95],"training":[97,109],"data":[98],"tensors,":[99],"our":[103,159],"proposed":[104],"VAE":[105],"model,":[106],"its":[108,163],"using":[110],"tensors":[111],"that":[112],"capture":[113],"impact":[115],"various":[117],"interacting":[118],"objects":[119],"5G-enabled":[122],"smart":[123],"infrastructure.":[125],"trained":[129],"on":[130],"multiple":[131],"configurations":[133],"to":[134,154],"predict":[135],"signal-to-interference-plus-noise":[137],"ratio":[138],"(SINR)":[139],"both":[141],"validation":[143],"dataset":[144],"unknown":[146],"configurations.":[148],"present":[150],"reconstruction":[151],"error":[152],"heatmaps":[153],"demonstrate":[155],"accuracy":[157],"analyze":[162],"performance":[164],"different":[166],"complex":[167],"environments.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2025-10-10T00:00:00"}
