{"id":"https://openalex.org/W4405270902","doi":"https://doi.org/10.1109/cvmi61877.2024.10782534","title":"CNN Models Transfer Learning Based Ship Classification for Intelligent Ship Routing","display_name":"CNN Models Transfer Learning Based Ship Classification for Intelligent Ship Routing","publication_year":2024,"publication_date":"2024-10-19","ids":{"openalex":"https://openalex.org/W4405270902","doi":"https://doi.org/10.1109/cvmi61877.2024.10782534"},"language":"en","primary_location":{"id":"doi:10.1109/cvmi61877.2024.10782534","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvmi61877.2024.10782534","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI)","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/A5055797683","display_name":"Brij Kishor Tiwari","orcid":"https://orcid.org/0000-0002-6135-5855"},"institutions":[{"id":"https://openalex.org/I149313025","display_name":"Vignan's Foundation for Science, Technology & Research","ror":"https://ror.org/03bzf1g85","country_code":"IN","type":"education","lineage":["https://openalex.org/I149313025"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Brij Kishor Tiwari","raw_affiliation_strings":["Vignan’s Foundation for Science Technology and Research,Department of Advanced Computer Science and Engineering,Guntur,India,522213"],"affiliations":[{"raw_affiliation_string":"Vignan’s Foundation for Science Technology and Research,Department of Advanced Computer Science and Engineering,Guntur,India,522213","institution_ids":["https://openalex.org/I149313025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115395117","display_name":"Rohini Sai Munagala","orcid":null},"institutions":[{"id":"https://openalex.org/I149313025","display_name":"Vignan's Foundation for Science, Technology & Research","ror":"https://ror.org/03bzf1g85","country_code":"IN","type":"education","lineage":["https://openalex.org/I149313025"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rohini Sai Munagala","raw_affiliation_strings":["Vignan’s Foundation for Science Technology and Research,Department of Advanced Computer Science and Engineering,Guntur,India,522213"],"affiliations":[{"raw_affiliation_string":"Vignan’s Foundation for Science Technology and Research,Department of Advanced Computer Science and Engineering,Guntur,India,522213","institution_ids":["https://openalex.org/I149313025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115395118","display_name":"Sai Dheeraj Mannarugudi","orcid":null},"institutions":[{"id":"https://openalex.org/I149313025","display_name":"Vignan's Foundation for Science, Technology & Research","ror":"https://ror.org/03bzf1g85","country_code":"IN","type":"education","lineage":["https://openalex.org/I149313025"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sai Dheeraj Mannarugudi","raw_affiliation_strings":["Vignan’s Foundation for Science Technology and Research,Department of Advanced Computer Science and Engineering,Guntur,India,522213"],"affiliations":[{"raw_affiliation_string":"Vignan’s Foundation for Science Technology and Research,Department of Advanced Computer Science and Engineering,Guntur,India,522213","institution_ids":["https://openalex.org/I149313025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5055797683"],"corresponding_institution_ids":["https://openalex.org/I149313025"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30583984,"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11622","display_name":"Maritime Navigation and Safety","score":0.9441999793052673,"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":0.9441999793052673,"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":0.686249315738678},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6853938698768616},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.5781658291816711},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.4806481897830963},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4442680776119232},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32402607798576355},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2928527891635895},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.0618402361869812}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.686249315738678},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6853938698768616},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.5781658291816711},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.4806481897830963},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4442680776119232},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32402607798576355},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2928527891635895},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0618402361869812}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvmi61877.2024.10782534","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvmi61877.2024.10782534","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI)","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":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1936798282","https://openalex.org/W2089709331","https://openalex.org/W2382241830","https://openalex.org/W2490270993","https://openalex.org/W2592507559","https://openalex.org/W2618530766","https://openalex.org/W2892214533","https://openalex.org/W2905385593","https://openalex.org/W3040333351","https://openalex.org/W3050436783","https://openalex.org/W3091791608","https://openalex.org/W3109314491","https://openalex.org/W3190591124","https://openalex.org/W3200538654","https://openalex.org/W3201649700","https://openalex.org/W4210929930","https://openalex.org/W6776410283"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Collision":[0],"free":[1,214],"autonomous":[2],"navigation":[3,43],"is":[4,26,49],"challenging":[5],"area":[6],"of":[7,54,58,64,86,99,111,143,151,175,178],"interest":[8],"for":[9,114,141,159,202,212],"the":[10,17,39,55,62,90,100,104,109,112,138,148,160,182,196,210],"shipping":[11],"industry,":[12],"and":[13,23,35,42,61,132,154,189,205,207,215],"an":[14],"accurately":[15],"classifying":[16],"ships":[18],"according":[19],"to":[20,81,208],"their":[21],"size":[22],"type":[24],"classes":[25],"a":[27,50,69],"crucial":[28],"undertaking":[29],"in":[30,79],"marine":[31],"operations.":[32],"Accurate":[33],"prediction":[34],"identification":[36,204],"will":[37],"improve":[38],"maritime":[40],"security":[41],"safety.":[44],"However,":[45],"automatic":[46],"ship":[47,59,203],"classification":[48,206],"difficult":[51],"subject":[52],"because":[53],"wide":[56],"variety":[57],"designs":[60],"complexity":[63],"visual":[65],"data.":[66],"We":[67,88,135],"developed":[68,197],"deep":[70,101,123],"learning":[71,75,106,124],"model":[72,98,125,145,153,180,198],"using":[73,92],"transfer":[74,105],"from":[76,190],"pre-trained":[77,94,152],"models":[78],"order":[80],"classify":[82],"five":[83],"different":[84,93],"kinds":[85],"ships.":[87],"performed":[89],"experiment":[91],"convolution":[95],"neural":[96],"network":[97],"learning.":[102],"In":[103,117],"we":[107,120,192],"considered":[108],"training":[110,142],"dataset":[113],"100":[115],"epochs.":[116],"this":[118],"study,":[119],"investigated":[121],"four":[122],"ResNet":[126],"50,":[127],"VGG":[128,130],"16,":[129],"19,":[131],"Inception":[133],"V3.":[134],"carried":[136],"out":[137],"identical":[139],"procedure":[140],"each":[144],"by":[146,172],"removing":[147],"top":[149,161],"layer":[150,174],"adding":[155],"three":[156],"dense":[157],"layers":[158],"layers.":[162],"The":[163],"neuron":[164],"counts":[165],"are":[166,186],"1024,":[167],"512,":[168],"256":[169],"respectively":[170],"followed":[171],"dropout":[173],"0.5.":[176],"Results":[177],"our":[179],"shows":[181],"maximum":[183],"obtained":[184],"accuracies":[185],"86.66":[187],"%":[188],"these":[191],"can":[193,199],"observed":[194],"that":[195],"be":[200],"used":[201],"take":[209],"decisions":[211],"collision":[213],"smooth":[216],"navigation.":[217]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}