{"id":"https://openalex.org/W4410358927","doi":"https://doi.org/10.1109/icoin63865.2025.10992844","title":"LSTM-Based Spectrum Occupancy Prediction Performance with Thin Plate Spline Model","display_name":"LSTM-Based Spectrum Occupancy Prediction Performance with Thin Plate Spline Model","publication_year":2025,"publication_date":"2025-01-15","ids":{"openalex":"https://openalex.org/W4410358927","doi":"https://doi.org/10.1109/icoin63865.2025.10992844"},"language":"en","primary_location":{"id":"doi:10.1109/icoin63865.2025.10992844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icoin63865.2025.10992844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Information Networking (ICOIN)","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/A5008490552","display_name":"Damminda Alahakoon","orcid":"https://orcid.org/0000-0003-3291-888X"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Dinushika Chathurangani Alahakoon","raw_affiliation_strings":["RMIT University,School of Engineering,Melbourne,VIC,Australia,3001"],"affiliations":[{"raw_affiliation_string":"RMIT University,School of Engineering,Melbourne,VIC,Australia,3001","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085279545","display_name":"Sithamparanathan Kandeepan","orcid":"https://orcid.org/0000-0002-9388-9173"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sithamparanathan Kandeepan","raw_affiliation_strings":["RMIT University,School of Engineering,Melbourne,VIC,Australia,3001"],"affiliations":[{"raw_affiliation_string":"RMIT University,School of Engineering,Melbourne,VIC,Australia,3001","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070195520","display_name":"Xinghuo Yu","orcid":"https://orcid.org/0000-0001-8093-9787"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xinghuo Yu","raw_affiliation_strings":["RMIT University,School of Engineering,Melbourne,VIC,Australia,3001"],"affiliations":[{"raw_affiliation_string":"RMIT University,School of Engineering,Melbourne,VIC,Australia,3001","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006463391","display_name":"Gianmarco Baldini","orcid":"https://orcid.org/0000-0003-4830-1227"},"institutions":[{"id":"https://openalex.org/I4210118689","display_name":"Joint Research Centre","ror":"https://ror.org/02qezmz13","country_code":"IT","type":"government","lineage":["https://openalex.org/I1320481043","https://openalex.org/I2800387288","https://openalex.org/I4210118689","https://openalex.org/I4210161702"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gianmarco Baldini","raw_affiliation_strings":["European Commission Joint Research Centre,Ispra,Italy,21027"],"affiliations":[{"raw_affiliation_string":"European Commission Joint Research Centre,Ispra,Italy,21027","institution_ids":["https://openalex.org/I4210118689"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5008490552"],"corresponding_institution_ids":["https://openalex.org/I82951845"],"apc_list":null,"apc_paid":null,"fwci":1.2004,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.80727756,"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":"540","last_page":"545"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13905","display_name":"Telecommunications and Broadcasting Technologies","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T13905","display_name":"Telecommunications and Broadcasting Technologies","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/occupancy","display_name":"Occupancy","score":0.7629917860031128},{"id":"https://openalex.org/keywords/spline","display_name":"Spline (mechanical)","score":0.6823023557662964},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6273666024208069},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4075199067592621},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15644162893295288},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.10190817713737488}],"concepts":[{"id":"https://openalex.org/C160331591","wikidata":"https://www.wikidata.org/wiki/Q7075743","display_name":"Occupancy","level":2,"score":0.7629917860031128},{"id":"https://openalex.org/C10390562","wikidata":"https://www.wikidata.org/wiki/Q581809","display_name":"Spline (mechanical)","level":2,"score":0.6823023557662964},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6273666024208069},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4075199067592621},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15644162893295288},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.10190817713737488},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icoin63865.2025.10992844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icoin63865.2025.10992844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Information Networking (ICOIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2024450772","https://openalex.org/W2102465740","https://openalex.org/W2103038618","https://openalex.org/W2128010550","https://openalex.org/W2128409098","https://openalex.org/W2277984606","https://openalex.org/W2326041979","https://openalex.org/W2744822029","https://openalex.org/W2755056899","https://openalex.org/W2897505673","https://openalex.org/W2918499577","https://openalex.org/W2939757977","https://openalex.org/W2996243818","https://openalex.org/W3010400998","https://openalex.org/W3036375754","https://openalex.org/W3113812676","https://openalex.org/W3126275110","https://openalex.org/W3212233035","https://openalex.org/W4206268350","https://openalex.org/W4390970128"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4282043467","https://openalex.org/W2105697914","https://openalex.org/W2202433167","https://openalex.org/W3093197249","https://openalex.org/W1540010871","https://openalex.org/W3023979140","https://openalex.org/W3177545769"],"abstract_inverted_index":{"Prediction-based":[0],"Dynamic":[1],"Spectrum":[2],"Access":[3],"(DSA)":[4],"in":[5,47],"Cognitive":[6],"Radio":[7],"(CR)":[8],"is":[9,69,80,103],"a":[10,48,56,85,114],"promising":[11],"approach":[12],"for":[13,18,90,100,128],"efficient":[14],"frequency":[15],"spectrum":[16,36,66],"utilisation":[17],"fast":[19],"and":[20,82,120,124],"reliable":[21],"next":[22],"generation":[23],"of":[24,35],"wireless":[25],"communication.":[26],"This":[27],"led":[28],"us":[29],"to":[30,42,63],"meticulously":[31],"examine":[32],"the":[33,72,108,131,135],"relation":[34],"occupancy":[37,122],"characteristics":[38],"on":[39],"prediction":[40,78,101,118,132],"performance":[41,119],"accurately":[43],"predict":[44,64],"spectral":[45],"opportunities":[46],"dynamic":[49],"radio":[50],"environment.":[51],"Our":[52],"research":[53],"involves":[54],"utilising":[55],"Long-Short-Term":[57],"Memory":[58],"(LSTM)-based":[59],"deep":[60],"learning":[61],"model":[62,89,94,99,109],"binary":[65,92],"occupancy,":[67],"which":[68,112],"characterised":[70],"by":[71],"discrete-time":[73],"Markov":[74],"process.":[75],"The":[76,96],"LSTM":[77],"error":[79,102,133],"analysed":[81],"modelled":[83],"using":[84],"Thin-Plate":[86],"Spline":[87],"(TPS)":[88],"arbitrary":[91],"Markovian":[93],"parameters.":[95],"proposed":[97,136],"TPS":[98],"presented":[104],"here":[105],"along":[106],"with":[107],"verification":[110],"results,":[111],"show":[113],"clear":[115],"correlation":[116],"between":[117],"channel":[121],"patterns":[123],"gives":[125],"superior":[126],"accuracy":[127],"conveniently":[129],"computing":[130],"under":[134],"settings.":[137]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}