{"id":"https://openalex.org/W4205894626","doi":"https://doi.org/10.1109/vcip53242.2021.9675344","title":"DFTS2: Deep Feature Transmission Simulation for Collaborative Intelligence","display_name":"DFTS2: Deep Feature Transmission Simulation for Collaborative Intelligence","publication_year":2021,"publication_date":"2021-12-05","ids":{"openalex":"https://openalex.org/W4205894626","doi":"https://doi.org/10.1109/vcip53242.2021.9675344"},"language":"en","primary_location":{"id":"doi:10.1109/vcip53242.2021.9675344","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip53242.2021.9675344","pdf_url":null,"source":{"id":"https://openalex.org/S4363608378","display_name":"2021 International Conference on Visual Communications and Image Processing (VCIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Visual Communications and Image Processing (VCIP)","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/A5027043765","display_name":"Ashiv Dhondea","orcid":null},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Ashiv Dhondea","raw_affiliation_strings":["School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada"],"affiliations":[{"raw_affiliation_string":"School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024386606","display_name":"Robert Cohen","orcid":"https://orcid.org/0000-0001-7724-8993"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Robert A. Cohen","raw_affiliation_strings":["School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada"],"affiliations":[{"raw_affiliation_string":"School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012187461","display_name":"Ivan V. Baji\u0107","orcid":"https://orcid.org/0000-0003-3154-5743"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ivan V. Bajic","raw_affiliation_strings":["School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada"],"affiliations":[{"raw_affiliation_string":"School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada","institution_ids":["https://openalex.org/I18014758"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5027043765"],"corresponding_institution_ids":["https://openalex.org/I18014758"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.56410256,"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":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8063640594482422},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6713746190071106},{"id":"https://openalex.org/keywords/packet-loss","display_name":"Packet loss","score":0.6330558657646179},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5790531635284424},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5742308497428894},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5671023726463318},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.5458356738090515},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.5138840675354004},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4635903239250183},{"id":"https://openalex.org/keywords/imperfect","display_name":"Imperfect","score":0.4489603638648987},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.43297863006591797},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.41778266429901123},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3830089569091797},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3687745928764343},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36673504114151},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.34561586380004883},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.28542467951774597},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09445887804031372}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8063640594482422},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6713746190071106},{"id":"https://openalex.org/C54108766","wikidata":"https://www.wikidata.org/wiki/Q391064","display_name":"Packet loss","level":3,"score":0.6330558657646179},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5790531635284424},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5742308497428894},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5671023726463318},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.5458356738090515},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.5138840675354004},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4635903239250183},{"id":"https://openalex.org/C2780310539","wikidata":"https://www.wikidata.org/wiki/Q12547192","display_name":"Imperfect","level":2,"score":0.4489603638648987},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.43297863006591797},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.41778266429901123},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3830089569091797},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3687745928764343},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36673504114151},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.34561586380004883},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.28542467951774597},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09445887804031372},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip53242.2021.9675344","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip53242.2021.9675344","pdf_url":null,"source":{"id":"https://openalex.org/S4363608378","display_name":"2021 International Conference on Visual Communications and Image Processing (VCIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W32864775","https://openalex.org/W1481550144","https://openalex.org/W2012875423","https://openalex.org/W2091449379","https://openalex.org/W2117539524","https://openalex.org/W2130660429","https://openalex.org/W2165736859","https://openalex.org/W2194775991","https://openalex.org/W2605258629","https://openalex.org/W2887096644","https://openalex.org/W2951542323","https://openalex.org/W2963446712","https://openalex.org/W2963770864","https://openalex.org/W2981114133","https://openalex.org/W3008797530","https://openalex.org/W3043914740","https://openalex.org/W3130641893","https://openalex.org/W3160882100","https://openalex.org/W3162473050","https://openalex.org/W3163253220","https://openalex.org/W3193034260","https://openalex.org/W3194888314","https://openalex.org/W6601334462","https://openalex.org/W6754041085","https://openalex.org/W6761632846"],"related_works":["https://openalex.org/W2374250903","https://openalex.org/W1546413948","https://openalex.org/W2263832889","https://openalex.org/W2243884323","https://openalex.org/W42072456","https://openalex.org/W4243095785","https://openalex.org/W4387894447","https://openalex.org/W2089057551","https://openalex.org/W3199712142","https://openalex.org/W2134402536"],"abstract_inverted_index":{"In":[0,51],"edge-cloud":[1],"collaborative":[2,113],"intelligence":[3],"(CI),":[4],"an":[5,36],"unreliable":[6],"transmission":[7],"channel":[8,38,78,89],"exists":[9],"in":[10,39,72],"the":[11,15,19,29,32,66,69,100,107],"information":[12],"path":[13],"of":[14,31,68,106],"AI":[16],"model":[17,79],"performing":[18],"inference.":[20],"It":[21],"is":[22],"important":[23],"to":[24,27,41,64,104],"be":[25],"able":[26],"simulate":[28,84],"performance":[30],"CI":[33,70],"system":[34,43,71,85],"across":[35],"imperfect":[37],"order":[40],"understand":[42],"behavior":[44,86],"and":[45,83,91],"develop":[46],"appropriate":[47],"error":[48],"control":[49,93],"strategies.":[50,94],"this":[52],"paper":[53],"we":[54,97],"present":[55,99],"a":[56,76],"simulation":[57],"framework":[58],"called":[59],"DFTS2,":[60,96],"which":[61],"enables":[62],"researchers":[63],"define":[65],"components":[67],"TensorFlow":[73],"2,":[74],"select":[75],"packet-based":[77],"with":[80],"various":[81,88],"parameters,":[82],"under":[87],"conditions":[90],"error/loss":[92],"Using":[95],"also":[98],"most":[101],"comprehensive":[102],"study":[103],"date":[105],"packet":[108],"loss":[109],"concealment":[110],"methods":[111],"for":[112],"image":[114],"classification":[115],"models.":[116]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
