{"id":"https://openalex.org/W4285813692","doi":"https://doi.org/10.1109/iwcmc55113.2022.9825393","title":"Federated Deep Learning-Based Framework to Avoid Collisions Between Inland Ships","display_name":"Federated Deep Learning-Based Framework to Avoid Collisions Between Inland Ships","publication_year":2022,"publication_date":"2022-05-30","ids":{"openalex":"https://openalex.org/W4285813692","doi":"https://doi.org/10.1109/iwcmc55113.2022.9825393"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc55113.2022.9825393","doi":"https://doi.org/10.1109/iwcmc55113.2022.9825393","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc55113.2022.9825393","pdf_url":null,"source":{"id":"https://openalex.org/S4363605313","display_name":"International Wireless Communications and Mobile Computing Conference (IWCMC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2022 International Wireless Communications and Mobile Computing (IWCMC)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5026553452","display_name":"Wided Hammedi","orcid":"https://orcid.org/0000-0003-4538-2199","observed_orcids":["https://orcid.org/0000-0003-4538-2199"]},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]},{"id":"https://openalex.org/I4210118524","display_name":"Universit\u00e9 Bourgogne Franche-Comt\u00e9","ror":"https://ror.org/02dn7x778","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210118524"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Wided Hammedi","raw_affiliation_strings":["Univ. Bourgogne Franche Comt&#x00E9;,DRIVE Laboratory EA1859,Nevers,France,F58000","Orange Labs - Grenoble (Orange)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Bourgogne Franche Comt&#x00E9;,DRIVE Laboratory EA1859,Nevers,France,F58000","institution_ids":["https://openalex.org/I4210118524"]},{"raw_affiliation_string":"Orange Labs - Grenoble (Orange)","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079069251","display_name":"Bouziane Brik","orcid":"https://orcid.org/0000-0002-3267-5702","observed_orcids":["https://orcid.org/0000-0002-3267-5702"]},"institutions":[{"id":"https://openalex.org/I4210118524","display_name":"Universit\u00e9 Bourgogne Franche-Comt\u00e9","ror":"https://ror.org/02dn7x778","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210118524"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Bouziane Brik","raw_affiliation_strings":["Univ. Bourgogne Franche Comt&#x00E9;,DRIVE Laboratory EA1859,Nevers,France,F58000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Bourgogne Franche Comt&#x00E9;,DRIVE Laboratory EA1859,Nevers,France,F58000","institution_ids":["https://openalex.org/I4210118524"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071486132","display_name":"Sidi\u2010Mohammed Senouci","orcid":"https://orcid.org/0000-0001-8525-9596","observed_orcids":["https://orcid.org/0000-0001-8525-9596"]},"institutions":[{"id":"https://openalex.org/I4210118524","display_name":"Universit\u00e9 Bourgogne Franche-Comt\u00e9","ror":"https://ror.org/02dn7x778","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210118524"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Sidi Mohammed Senouci","raw_affiliation_strings":["Univ. Bourgogne Franche Comt&#x00E9;,DRIVE Laboratory EA1859,Nevers,France,F58000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Bourgogne Franche Comt&#x00E9;,DRIVE Laboratory EA1859,Nevers,France,F58000","institution_ids":["https://openalex.org/I4210118524"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.2044,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.95554059,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"967","last_page":"972"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11622","display_name":"Maritime Navigation and Safety","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11622","display_name":"Maritime Navigation and Safety","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.01140000019222498,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.0007999999797903001,"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/inland-navigation","display_name":"inland navigation","score":0.5860000252723694},{"id":"https://openalex.org/keywords/ship-collision-avoidance","display_name":"ship collision avoidance","score":0.8190000057220459},{"id":"https://openalex.org/keywords/collision-detection","display_name":"collision detection","score":0.9390000104904175},{"id":"https://openalex.org/keywords/federated-deep-learning","display_name":"federated deep learning","score":0.9789999723434448},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"mobile edge computing","score":0.7990000247955322},{"id":"https://openalex.org/keywords/low-latency-communication","display_name":"low-latency communication","score":0.6840000152587891},{"id":"https://openalex.org/keywords/privacy-protection","display_name":"privacy preservation","score":0.5479999780654907}],"concepts":[{"id":"https://openalex.org/C2776654903","wikidata":"https://www.wikidata.org/wiki/Q2601463","display_name":"SAFER","level":2,"score":0.7700716257095337},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.7229759097099304},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6934419274330139},{"id":"https://openalex.org/C46637626","wikidata":"https://www.wikidata.org/wiki/Q6693015","display_name":"Low latency (capital markets)","level":2,"score":0.5672620534896851},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5152521729469299},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.4581514894962311},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.4407670795917511},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.43693476915359497},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.43687331676483154},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2606242597103119},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.2535547614097595},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.18220216035842896},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17712262272834778},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16297966241836548}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iwcmc55113.2022.9825393","doi":"https://doi.org/10.1109/iwcmc55113.2022.9825393","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc55113.2022.9825393","pdf_url":null,"source":{"id":"https://openalex.org/S4363605313","display_name":"International Wireless Communications and Mobile Computing Conference (IWCMC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2022 International Wireless Communications and Mobile Computing (IWCMC)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-03977634v1","doi":null,"is_oa":false,"landing_page_url":"https://ube.hal.science/hal-03977634","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2022 International Wireless Communications and Mobile Computing (IWCMC), May 2022, Dubrovnik, Croatia. pp.967-972, &#x27E8;10.1109/IWCMC55113.2022.9825393&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8970999717712402,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1997718893","https://openalex.org/W2005987773","https://openalex.org/W2327298648","https://openalex.org/W2541884796","https://openalex.org/W2555177964","https://openalex.org/W2559642163","https://openalex.org/W2586687062","https://openalex.org/W2908965717","https://openalex.org/W3009646841","https://openalex.org/W3047350571","https://openalex.org/W3095388897","https://openalex.org/W3106778749","https://openalex.org/W3125525622","https://openalex.org/W3133938420","https://openalex.org/W3171443666","https://openalex.org/W4210426519","https://openalex.org/W4220774747","https://openalex.org/W4225563647"],"related_works":["https://openalex.org/W4225563647","https://openalex.org/W6963261721","https://openalex.org/W4415061254","https://openalex.org/W4404179129","https://openalex.org/W2979835828","https://openalex.org/W4285219637","https://openalex.org/W4392158269","https://openalex.org/W4378876734","https://openalex.org/W7214630791","https://openalex.org/W7083326809"],"abstract_inverted_index":{"With":[0],"the":[1,8,17,19,134,139,142],"rapid":[2],"growth":[3],"of":[4,11,53,141],"inland":[5,12,31,74],"shipping":[6,27,32],"and":[7,34,60,121,149,152],"increased":[9],"number":[10],"ships":[13,38,75,99],"required":[14],"to":[15,23,29,45,84,116,125,146],"convey":[16],"freight,":[18],"ultimate":[20],"goal":[21],"is":[22,82,108],"design":[24],"an":[25,42],"intelligent":[26],"system":[28,72,107,145],"make":[30],"safer":[33],"more":[35],"efficient.":[36],"Cooperative":[37],"safety":[39,55,106],"systems":[40],"are":[41,57],"emerging":[43],"approach":[44],"supporting":[46],"reliable":[47],"collision":[48,70,143],"detection.":[49],"Two":[50],"critical":[51],"requirements":[52],"cooperative":[54],"applications":[56],"position":[58],"accuracy":[59,136],"ultra-low":[61],"communication":[62,120],"latency.":[63],"Therefore,":[64],"this":[65],"paper":[66],"proposes":[67],"a":[68,86],"new":[69],"detection":[71,144],"for":[73],"based":[76],"on":[77],"Federated":[78],"Deep":[79],"Learning,":[80],"which":[81],"expected":[83],"provide":[85],"robust":[87],"positioning":[88],"prediction":[89],"model.":[90],"In":[91],"addition,":[92],"it":[93],"guarantees":[94],"collaborative":[95],"learning":[96],"among":[97],"all":[98],"while":[100],"preserving":[101],"ships'":[102],"privacy.":[103],"Furthermore,":[104],"our":[105],"deployed":[109],"at":[110],"Multi-access":[111],"Edge":[112],"Computing":[113],"(MEC)":[114],"nodes":[115],"ensure":[117,147],"low":[118],"latency":[119],"guarantee":[122],"real-time":[123],"reaction":[124],"avoid":[126,153],"collisions":[127,154],"between":[128,155],"ships.":[129,156],"Extensive":[130],"simulation":[131],"results":[132],"show":[133],"system's":[135],"and,":[137],"hence,":[138],"efficiency":[140],"timely":[148],"trusted":[150],"communications":[151]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-10-25T09:29:13.331239","created_date":"2022-07-19T00:00:00"}
