{"id":"https://openalex.org/W4410887502","doi":"https://doi.org/10.1109/syscon64521.2025.11014806","title":"Navigating Complexity: Automating Maritime Decision-Making with Temporal Transformer-Based Embeddings and Scalable Clustering","display_name":"Navigating Complexity: Automating Maritime Decision-Making with Temporal Transformer-Based Embeddings and Scalable Clustering","publication_year":2025,"publication_date":"2025-04-07","ids":{"openalex":"https://openalex.org/W4410887502","doi":"https://doi.org/10.1109/syscon64521.2025.11014806"},"language":"en","primary_location":{"id":"doi:10.1109/syscon64521.2025.11014806","is_oa":false,"landing_page_url":"https://doi.org/10.1109/syscon64521.2025.11014806","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International systems Conference (SysCon)","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/A5006567665","display_name":"Parvej Reja Saleh","orcid":"https://orcid.org/0000-0001-9636-3858"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Pavly Saleh","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, University of Ottawa,Ottawa,Canada"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Ottawa,Ottawa,Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103334211","display_name":"John M. Armitage","orcid":null},"institutions":[{"id":"https://openalex.org/I4210097166","display_name":"Larus Technologies (Canada)","ror":"https://ror.org/00q3rb237","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210097166"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"John Armitage","raw_affiliation_strings":["Larus Technologies,Research & Engineering (R&E),Ottawa,Canada"],"affiliations":[{"raw_affiliation_string":"Larus Technologies,Research & Engineering (R&E),Ottawa,Canada","institution_ids":["https://openalex.org/I4210097166"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010104902","display_name":"Phillip Curtis","orcid":null},"institutions":[{"id":"https://openalex.org/I4210097166","display_name":"Larus Technologies (Canada)","ror":"https://ror.org/00q3rb237","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210097166"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Phillip Curtis","raw_affiliation_strings":["Larus Technologies,Research & Engineering (R&E),Ottawa,Canada"],"affiliations":[{"raw_affiliation_string":"Larus Technologies,Research & Engineering (R&E),Ottawa,Canada","institution_ids":["https://openalex.org/I4210097166"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002331779","display_name":"Rami Abielmona","orcid":"https://orcid.org/0000-0002-8904-8769"},"institutions":[{"id":"https://openalex.org/I4210097166","display_name":"Larus Technologies (Canada)","ror":"https://ror.org/00q3rb237","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210097166"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Rami Abielmona","raw_affiliation_strings":["Larus Technologies,Research & Engineering (R&E),Ottawa,Canada"],"affiliations":[{"raw_affiliation_string":"Larus Technologies,Research & Engineering (R&E),Ottawa,Canada","institution_ids":["https://openalex.org/I4210097166"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023904661","display_name":"Emil M. Petriu","orcid":"https://orcid.org/0000-0002-0274-1035"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Emil Petriu","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, University of Ottawa,Ottawa,Canada"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Ottawa,Ottawa,Canada","institution_ids":["https://openalex.org/I153718931"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5006567665"],"corresponding_institution_ids":["https://openalex.org/I153718931"],"apc_list":null,"apc_paid":null,"fwci":2.8599,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.9108035,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9010000228881836,"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"}},"topics":[{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9010000228881836,"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/T11622","display_name":"Maritime Navigation and Safety","score":0.9003999829292297,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7157840132713318},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6918099522590637},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6346348524093628},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4448259472846985},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3710740804672241},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3205890357494354},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.15114927291870117},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1266348958015442},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.06695950031280518}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7157840132713318},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6918099522590637},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6346348524093628},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4448259472846985},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3710740804672241},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3205890357494354},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.15114927291870117},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1266348958015442},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.06695950031280518},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/syscon64521.2025.11014806","is_oa":false,"landing_page_url":"https://doi.org/10.1109/syscon64521.2025.11014806","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International systems Conference (SysCon)","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":16,"referenced_works":["https://openalex.org/W1019891831","https://openalex.org/W1853995153","https://openalex.org/W1864335429","https://openalex.org/W2083442964","https://openalex.org/W2753820606","https://openalex.org/W2786148476","https://openalex.org/W2945706894","https://openalex.org/W3185905653","https://openalex.org/W4392781393","https://openalex.org/W4400470458","https://openalex.org/W6637131181","https://openalex.org/W6637829518","https://openalex.org/W6679329542","https://openalex.org/W6693017345","https://openalex.org/W6739901393","https://openalex.org/W7046502564"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W2965083567","https://openalex.org/W4235240664","https://openalex.org/W1838576100","https://openalex.org/W2095886385","https://openalex.org/W2889616422","https://openalex.org/W2089704382","https://openalex.org/W1983399550","https://openalex.org/W97075385","https://openalex.org/W2357523926"],"abstract_inverted_index":{"The":[0,168],"analysis":[1,134],"of":[2,38,127,138],"track":[3],"data":[4,206],"is":[5,74],"fundamental":[6],"to":[7,29,57,70,180,203],"decision-making":[8,48],"systems":[9,26],"in":[10,90,110],"domains":[11],"such":[12,183],"as":[13,184],"maritime":[14,47,143,174],"navigation,":[15],"aviation,":[16],"and":[17,24,36,53,88,98,114,158,161,166,188,199],"logistics.":[18,189],"Traditional":[19],"reliance":[20],"on":[21],"handcrafted":[22,131],"features":[23],"rule-based":[25],"often":[27],"struggles":[28],"scale":[30],"with":[31,141],"the":[32,105,119,136,146,201],"increasing":[33],"volume,":[34],"variety,":[35],"complexity":[37],"data.":[39],"This":[40,150],"paper":[41],"introduces":[42],"an":[43],"automated":[44],"framework":[45,170],"for":[46,207],"that":[49],"leverages":[50],"transformer-based":[51],"embeddings":[52,85],"vector":[54,93],"database":[55],"technologies":[56],"overcome":[58],"these":[59],"limitations.":[60],"Automatic":[61],"Identification":[62],"System":[63],"(AIS)":[64],"data,":[65],"segmented":[66],"into":[67,76],"12-hour":[68],"chunks":[69],"optimize":[71],"computational":[72],"efficiency,":[73],"embedded":[75],"high-dimensional":[77],"feature":[78,153],"vectors":[79],"using":[80],"a":[81,91,124],"time-series":[82],"transformer.":[83],"These":[84],"are":[86],"stored":[87],"queried":[89],"scalable":[92],"database,":[94],"enabling":[95],"efficient":[96],"clustering":[97,111,139,159,194],"real-time":[99],"anomaly":[100],"detection.":[101],"Extensive":[102],"experiments":[103],"validate":[104],"proposed":[106,169],"system,":[107],"demonstrating":[108],"improvements":[109],"accuracy,":[112],"scalability,":[113],"classification":[115,165],"performance.":[116],"For":[117],"instance,":[118],"Random":[120],"Forest":[121],"classifier":[122],"achieved":[123],"weighted":[125],"F1-score":[126],"0.90,":[128],"outperforming":[129],"traditional":[130],"methods.":[132],"Geospatial":[133],"confirmed":[135],"alignment":[137],"results":[140],"real-world":[142],"patterns,":[144],"underscoring":[145],"system's":[147],"practical":[148],"relevance.":[149],"work":[151],"automates":[152],"extraction,":[154],"integrates":[155],"advanced":[156],"embedding":[157],"techniques,":[160],"validates":[162],"outputs":[163],"through":[164],"annotation.":[167],"not":[171],"only":[172],"addresses":[173],"challenges":[175],"but":[176],"also":[177],"demonstrates":[178],"adaptability":[179],"other":[181],"domains,":[182],"air":[185],"traffic":[186],"management":[187],"Future":[190],"research":[191],"will":[192],"enhance":[193],"algorithms,":[195],"incorporate":[196],"predictive":[197],"analytics,":[198],"extend":[200],"methodology":[202],"integrate":[204],"multi-source":[205],"broader":[208],"applicability.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}