{"id":"https://openalex.org/W4410227694","doi":"https://doi.org/10.1109/wcnc61545.2025.10978228","title":"Leveraging LSTM Networks for Adaptive Deep Learning in Connected Autonomous Vehicles","display_name":"Leveraging LSTM Networks for Adaptive Deep Learning in Connected Autonomous Vehicles","publication_year":2025,"publication_date":"2025-03-24","ids":{"openalex":"https://openalex.org/W4410227694","doi":"https://doi.org/10.1109/wcnc61545.2025.10978228"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc61545.2025.10978228","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc61545.2025.10978228","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Wireless Communications and Networking Conference (WCNC)","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/A5072557142","display_name":"Robert F. Rauch","orcid":"https://orcid.org/0000-0002-0575-6208"},"institutions":[{"id":"https://openalex.org/I183764125","display_name":"Technical University of Ko\u0161ice","ror":"https://ror.org/05xm08015","country_code":"SK","type":"education","lineage":["https://openalex.org/I183764125"]}],"countries":["SK"],"is_corresponding":true,"raw_author_name":"Robert Rauch","raw_affiliation_strings":["Technical University of Kosice,Department of Computers and Informatics,Kosice,Slovakia"],"affiliations":[{"raw_affiliation_string":"Technical University of Kosice,Department of Computers and Informatics,Kosice,Slovakia","institution_ids":["https://openalex.org/I183764125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017059038","display_name":"Juraj Gazda","orcid":"https://orcid.org/0000-0002-7334-9540"},"institutions":[{"id":"https://openalex.org/I183764125","display_name":"Technical University of Ko\u0161ice","ror":"https://ror.org/05xm08015","country_code":"SK","type":"education","lineage":["https://openalex.org/I183764125"]}],"countries":["SK"],"is_corresponding":false,"raw_author_name":"Juraj Gazda","raw_affiliation_strings":["Technical University of Kosice,Department of Computers and Informatics,Kosice,Slovakia"],"affiliations":[{"raw_affiliation_string":"Technical University of Kosice,Department of Computers and Informatics,Kosice,Slovakia","institution_ids":["https://openalex.org/I183764125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051196445","display_name":"Marco Levorato","orcid":"https://orcid.org/0000-0002-6920-4189"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marco Levorato","raw_affiliation_strings":["University of California Irvine,Computer Science Department,Irvine,USA"],"affiliations":[{"raw_affiliation_string":"University of California Irvine,Computer Science Department,Irvine,USA","institution_ids":["https://openalex.org/I204250578"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5072557142"],"corresponding_institution_ids":["https://openalex.org/I183764125"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1166241,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9639000296592712,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9639000296592712,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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":0.7942768335342407},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5655972957611084},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5053711533546448}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7942768335342407},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5655972957611084},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5053711533546448}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcnc61545.2025.10978228","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc61545.2025.10978228","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2092433168","https://openalex.org/W2320776350","https://openalex.org/W2609532991","https://openalex.org/W2947474832","https://openalex.org/W2962677625","https://openalex.org/W2967663220","https://openalex.org/W2971714613","https://openalex.org/W2973229164","https://openalex.org/W2979679572","https://openalex.org/W2980856918","https://openalex.org/W3044024778","https://openalex.org/W3045049179","https://openalex.org/W3103869897","https://openalex.org/W3109233295","https://openalex.org/W3136475158","https://openalex.org/W3154971029","https://openalex.org/W3160220816","https://openalex.org/W3171419621","https://openalex.org/W3176027082","https://openalex.org/W3177394154","https://openalex.org/W3200633798","https://openalex.org/W3214737454","https://openalex.org/W3216738415","https://openalex.org/W4206391454","https://openalex.org/W4224134719","https://openalex.org/W4236099117","https://openalex.org/W4379177013","https://openalex.org/W4394625743","https://openalex.org/W4405633030","https://openalex.org/W6787972765","https://openalex.org/W6810363922"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4321369474","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W3086377361"],"abstract_inverted_index":{"In":[0],"response":[1,91],"to":[2,20,80,125,145,193,213],"the":[3,28,47,62,72,75,84,88,99,123,136,147,157,179,195,198,216],"escalating":[4],"demand":[5],"for":[6,41,116],"high-performance":[7],"applications":[8,95],"in":[9,27],"Connected":[10],"Autonomous":[11],"Vehicles":[12],"(CAVs),":[13],"there":[14],"has":[15],"been":[16],"an":[17],"increased":[18],"effort":[19],"accelerate":[21],"Computer":[22],"Vision":[23],"(CV)":[24],"tasks.":[25],"Innovations":[26],"field":[29],"suggest":[30],"that":[31,114,154,177],"partitioning":[32],"Deep":[33,180],"Learning":[34,203],"(D":[35],"L)":[36],"models,":[37],"which":[38],"are":[39,78,132],"pivotal":[40],"CV":[42],"tasks,":[43],"can":[44],"effectively":[45],"utilize":[46],"computational":[48,167],"strengths":[49],"of":[50,93,101,197],"both":[51],"CAVs":[52],"and":[53,90,140,151,166,221],"proximal":[54],"edge":[55,85],"servers.":[56],"This":[57],"is":[58,143,205],"achieved":[59],"by":[60,187],"splitting":[61],"DL":[63,109],"models":[64,110],"into":[65],"two":[66],"parts,":[67],"where":[68],"execution":[69],"begins":[70],"on":[71,83],"CAV,":[73],"then":[74],"intermediate":[76],"results":[77],"offloaded":[79],"complete":[81],"processing":[82,127],"server.":[86],"Moreover,":[87],"precision":[89],"time":[92],"these":[94],"vary":[96],"significantly,":[97],"necessitating":[98],"adoption":[100],"early":[102,117,128],"exit":[103,126,152,222],"strategies.":[104],"These":[105],"strategies":[106],"involve":[107],"modifying":[108],"with":[111,156],"auxiliary":[112],"branches":[113],"allow":[115],"termination":[118],"at":[119],"various":[120],"stages,":[121],"enabling":[122],"model":[124,219],"when":[129],"application":[130],"requirements":[131],"met.":[133],"To":[134,169],"navigate":[135],"trade-offs":[137],"between":[138],"accuracy":[139],"latency,":[141],"it":[142],"imperative":[144],"choose":[146],"model's":[148],"optimal":[149],"split":[150],"point":[153],"align":[155],"current":[158],"environmental":[159],"conditions,":[160],"such":[161],"as":[162],"server":[163],"data":[164],"throughput":[165],"load.":[168],"achieve":[170],"this,":[171],"we":[172],"employ":[173],"a":[174,209],"state-of-the-art":[175],"method":[176],"utilizes":[178],"Deterministic":[181],"Policy":[182],"Gradient":[183],"(DDPG)":[184],"algorithm,":[185],"augmented":[186],"Long":[188],"Short-Term":[189],"Memory":[190],"networks.":[191],"Additionally,":[192],"refine":[194],"training":[196],"DDPG's":[199],"actor":[200],"network,":[201],"Imitation":[202],"(IL)":[204],"integrated.":[206],"IL":[207],"employs":[208],"heuristic":[210],"exhaustive":[211],"search":[212],"retrospectively":[214],"identify":[215],"most":[217],"effective":[218],"partition":[220],"point.":[223]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
