{"id":"https://openalex.org/W4387883669","doi":"https://doi.org/10.1109/icc45041.2023.10278583","title":"Where Did My Packet Go? Real-Time Prediction of Losses in Networks","display_name":"Where Did My Packet Go? Real-Time Prediction of Losses in Networks","publication_year":2023,"publication_date":"2023-05-28","ids":{"openalex":"https://openalex.org/W4387883669","doi":"https://doi.org/10.1109/icc45041.2023.10278583"},"language":"en","primary_location":{"id":"doi:10.1109/icc45041.2023.10278583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45041.2023.10278583","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2023 - IEEE International Conference on Communications","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/A5073153953","display_name":"Tailai Song","orcid":"https://orcid.org/0000-0003-2051-5346"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Tailai Song","raw_affiliation_strings":["Politecnico di Torino"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Torino","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040050135","display_name":"Dena Markudova","orcid":"https://orcid.org/0000-0001-9439-0449"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Dena Markudova","raw_affiliation_strings":["Politecnico di Torino"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Torino","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037361763","display_name":"Gianluca Perna","orcid":"https://orcid.org/0000-0003-2256-8724"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gianluca Perna","raw_affiliation_strings":["Politecnico di Torino"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Torino","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065722419","display_name":"Michela Meo","orcid":"https://orcid.org/0000-0001-7403-6266"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Michela Meo","raw_affiliation_strings":["Politecnico di Torino"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Torino","institution_ids":["https://openalex.org/I177477856"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I177477856"],"apc_list":null,"apc_paid":null,"fwci":1.8141,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85682712,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3836","last_page":"3841"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10138","display_name":"Network Traffic and Congestion Control","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10138","display_name":"Network Traffic and Congestion Control","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9836999773979187,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.9736999869346619,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8209688663482666},{"id":"https://openalex.org/keywords/quality-of-experience","display_name":"Quality of experience","score":0.6846423745155334},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.6399885416030884},{"id":"https://openalex.org/keywords/packet-loss","display_name":"Packet loss","score":0.5292068123817444},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5257866382598877},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.49866294860839844},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.4733567237854004},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.463828444480896},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42757105827331543},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.3957458734512329},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3302203416824341}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8209688663482666},{"id":"https://openalex.org/C2779333187","wikidata":"https://www.wikidata.org/wiki/Q3132648","display_name":"Quality of experience","level":3,"score":0.6846423745155334},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.6399885416030884},{"id":"https://openalex.org/C54108766","wikidata":"https://www.wikidata.org/wiki/Q391064","display_name":"Packet loss","level":3,"score":0.5292068123817444},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5257866382598877},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.49866294860839844},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.4733567237854004},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.463828444480896},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42757105827331543},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.3957458734512329},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3302203416824341},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc45041.2023.10278583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45041.2023.10278583","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2023 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1540386189","https://openalex.org/W2078408883","https://openalex.org/W2099040451","https://openalex.org/W2148143831","https://openalex.org/W2903960826","https://openalex.org/W2921489299","https://openalex.org/W2964473076","https://openalex.org/W3124153473","https://openalex.org/W3162754188","https://openalex.org/W3194190187","https://openalex.org/W4200096524","https://openalex.org/W4235397926","https://openalex.org/W4285058377","https://openalex.org/W4288079450","https://openalex.org/W4301710896"],"related_works":["https://openalex.org/W2368605798","https://openalex.org/W2518037665","https://openalex.org/W2137811827","https://openalex.org/W2044415708","https://openalex.org/W2561422065","https://openalex.org/W3172541277","https://openalex.org/W3031398062","https://openalex.org/W3199712142","https://openalex.org/W3134457781","https://openalex.org/W2134402536"],"abstract_inverted_index":{"Real-time":[0],"communication":[1],"(RTC)":[2],"platforms":[3],"have":[4],"undergone":[5],"a":[6,81,90,105,170,177],"consistent":[7],"increase":[8],"in":[9,11,99,104],"popularity":[10],"recent":[12],"years,":[13],"and":[14,22,123,127,148],"nowadays,":[15],"they":[16],"are":[17,48,75,167],"fundamental":[18,155],"for":[19,32,92,107],"both":[20],"work":[21],"leisure":[23],"purposes.":[24],"To":[25],"ensure":[26],"adequate":[27],"Quality":[28],"of":[29,34,136,145,162,179],"Experience":[30],"(QoE)":[31],"users":[33],"RTC":[35,141],"services,":[36],"we":[37,88,128,175],"need":[38],"proper":[39],"traffic":[40],"management":[41],"policies,":[42],"that,":[43],"when":[44],"critical":[45,68],"network":[46,56,69],"conditions":[47],"detected,":[49],"react":[50],"by":[51],"operating":[52],"either":[53],"at":[54],"the":[55,61,100,146,163],"configuration":[57],"level":[58],"or":[59],"on":[60,169],"application":[62],"to":[63,78,119,131,153,156],"improve":[64],"QoE.":[65],"However,":[66],"predicting":[67,93],"conditions,":[70],"especially":[71],"packet":[72,94],"losses":[73,95],"that":[74,96],"particularly":[76],"harmful":[77],"QoE,":[79],"is":[80],"very":[82],"challenging":[83],"task.":[84],"In":[85,160],"this":[86],"paper,":[87],"propose":[89],"system":[91],"might":[97],"occur":[98],"near":[101],"future":[102],"(i.e.,":[103],"second)":[106],"RTP":[108],"streaming":[109],"traffic.":[110],"We":[111],"analyze":[112],"several":[113],"ML":[114],"algorithms,":[115,126],"from":[116,138],"standard":[117],"techniques":[118],"deep":[120],"neural":[121],"networks":[122],"anomaly":[124],"detection":[125],"apply":[129],"them":[130],"more":[132],"than":[133],"66":[134],"hours":[135],"data":[137],"two":[139],"popular":[140],"applications.":[142],"The":[143],"selection":[144],"algorithm":[147],"its":[149],"tuning":[150],"turn":[151],"out":[152],"be":[154],"achieving":[157],"good":[158],"performance.":[159],"one":[161],"best":[164],"settings,":[165],"which":[166],"based":[168],"Balanced":[171],"Random":[172],"Forest":[173],"classifier,":[174],"obtain":[176],"recall":[178],"0.82.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}