{"id":"https://openalex.org/W4414538343","doi":"https://doi.org/10.1109/access.2025.3615067","title":"STAR: Sea Turtle Basic Activity Recognizer Network Via Efficient Transformer","display_name":"STAR: Sea Turtle Basic Activity Recognizer Network Via Efficient Transformer","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414538343","doi":"https://doi.org/10.1109/access.2025.3615067"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3615067","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3615067","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3615067","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055645464","display_name":"Muhamad Dwisnanto Putro","orcid":"https://orcid.org/0000-0002-1785-1018"},"institutions":[{"id":"https://openalex.org/I55214057","display_name":"Sam Ratulangi University","ror":"https://ror.org/01cn6ph21","country_code":"ID","type":"education","lineage":["https://openalex.org/I55214057"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Muhamad Dwisnanto Putro","raw_affiliation_strings":["Master Program of Informatics, Postgraduate Program, Sam Ratulangi University, Indonesia"],"raw_orcid":"https://orcid.org/0000-0002-1785-1018","affiliations":[{"raw_affiliation_string":"Master Program of Informatics, Postgraduate Program, Sam Ratulangi University, Indonesia","institution_ids":["https://openalex.org/I55214057"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046892343","display_name":"Agung Sutrisno","orcid":"https://orcid.org/0000-0003-3547-9122"},"institutions":[{"id":"https://openalex.org/I55214057","display_name":"Sam Ratulangi University","ror":"https://ror.org/01cn6ph21","country_code":"ID","type":"education","lineage":["https://openalex.org/I55214057"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Agung Sutrisno","raw_affiliation_strings":["Department of Industrial Engineering, Sam Ratulangi University, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Sam Ratulangi University, Indonesia","institution_ids":["https://openalex.org/I55214057"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002693123","display_name":"Indri S. Manembu","orcid":"https://orcid.org/0000-0002-7979-8857"},"institutions":[{"id":"https://openalex.org/I55214057","display_name":"Sam Ratulangi University","ror":"https://ror.org/01cn6ph21","country_code":"ID","type":"education","lineage":["https://openalex.org/I55214057"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Indri Shelovita Manembu","raw_affiliation_strings":["Department of Marine Science, Sam Ratulangi University, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Marine Science, Sam Ratulangi University, Indonesia","institution_ids":["https://openalex.org/I55214057"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020501362","display_name":"Il Yong Chun","orcid":"https://orcid.org/0000-0002-4226-3760"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Il Yong Chun","raw_affiliation_strings":["Departments of Electrical and Computer Engineering, Artificial Intelligence, Advanced Display Engineering, and Semiconductor Convergence Engineering, and the Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Sungkyunkwan University, Suwon, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-4226-3760","affiliations":[{"raw_affiliation_string":"Departments of Electrical and Computer Engineering, Artificial Intelligence, Advanced Display Engineering, and Semiconductor Convergence Engineering, and the Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Sungkyunkwan University, Suwon, South Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078114111","display_name":"Tae-Hyun Oh","orcid":"https://orcid.org/0000-0003-0468-1571"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Tae-Hyun Oh","raw_affiliation_strings":["School of Computing, KAIST, Daejeon, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-0468-1571","affiliations":[{"raw_affiliation_string":"School of Computing, KAIST, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5055645464"],"corresponding_institution_ids":["https://openalex.org/I55214057"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23363489,"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":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.8963000178337097,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.8963000178337097,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T12740","display_name":"Gait Recognition and Analysis","score":0.8906999826431274,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T12994","display_name":"Infrared Thermography in Medicine","score":0.8651000261306763,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sea-turtle","display_name":"Sea turtle","score":0.6815000176429749},{"id":"https://openalex.org/keywords/turtle","display_name":"Turtle (robot)","score":0.6157000064849854},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5859000086784363},{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.5404999852180481},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5133000016212463},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4632999897003174},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.3767000138759613},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3091999888420105}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8093000054359436},{"id":"https://openalex.org/C2775995474","wikidata":"https://www.wikidata.org/wiki/Q219329","display_name":"Sea turtle","level":3,"score":0.6815000176429749},{"id":"https://openalex.org/C109766332","wikidata":"https://www.wikidata.org/wiki/Q3532550","display_name":"Turtle (robot)","level":2,"score":0.6157000064849854},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5859000086784363},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.5404999852180481},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5133000016212463},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.48590001463890076},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4632999897003174},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4099000096321106},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.3767000138759613},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3091999888420105},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3077000081539154},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29019999504089355},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.2883000075817108},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.27140000462532043},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2669000029563904},{"id":"https://openalex.org/C145424490","wikidata":"https://www.wikidata.org/wiki/Q618465","display_name":"Remotely operated underwater vehicle","level":4,"score":0.26350000500679016},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26330000162124634},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.2581999897956848},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.257999986410141},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.2565999925136566},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.2533999979496002}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3615067","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3615067","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:96dd92da42964b45811feab7fd7e55f9","is_oa":true,"landing_page_url":"https://doaj.org/article/96dd92da42964b45811feab7fd7e55f9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 171356-171370 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3615067","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3615067","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Sea":[0],"turtles":[1],"are":[2,8],"endemic":[3],"to":[4,116,173,206],"several":[5,45],"islands":[6],"and":[7,24,28,103,168],"crucial":[9],"in":[10,37,44,55,195,212],"maintaining":[11],"ecosystem":[12],"balance.":[13],"However,":[14],"they":[15],"face":[16],"significant":[17],"threats":[18],"from":[19,155],"poaching,":[20],"extreme":[21],"weather":[22],"conditions,":[23],"abnormal":[25],"activities.":[26],"Monitoring":[27],"protecting":[29],"their":[30],"habitats":[31],"has":[32],"become":[33],"a":[34,41,80,125,131,144],"key":[35],"focus":[36],"blue":[38],"economy":[39],"research,":[40],"priority":[42],"program":[43],"developed":[46],"nations.":[47],"Observing":[48],"sea":[49,149,203],"turtle":[50,82,150,157,204],"behavior":[51],"not":[52],"only":[53],"aids":[54],"conservation":[56],"efforts":[57],"but":[58],"also":[59],"supports":[60],"the":[61,137,163,180,208,213],"development":[62],"of":[63,148,165,179,210],"behavioral":[64],"analysis":[65],"that":[66,135,184],"can":[67],"serve":[68],"as":[69,98,130],"metrics":[70],"for":[71],"further":[72],"research.":[73],"In":[74,123],"this":[75,199],"work,":[76],"we":[77],"propose":[78],"STAR,":[79],"basic":[81],"activity":[83,118,151],"recognition":[84,152,200],"system,":[85],"employing":[86],"an":[87],"efficient":[88],"deep":[89],"learning":[90],"approach.":[91],"This":[92],"system":[93,201],"categorizes":[94],"simple":[95],"activities":[96],"such":[97],"swimming,":[99],"eating,":[100],"hiding,":[101],"resting,":[102],"other":[104,174],"distinct":[105],"behaviors.":[106],"An":[107],"effective":[108],"network":[109],"is":[110,128],"offered":[111],"by":[112],"utilizing":[113],"enhanced":[114],"modules":[115,167],"discriminate":[117],"features":[119],"involving":[120],"sequential":[121],"frames.":[122],"addition,":[124],"lightweight":[126,175],"transformer":[127],"presented":[129],"novel":[132],"attentive":[133],"module":[134],"improves":[136],"feature":[138],"extraction":[139],"ability.":[140],"Another":[141],"contribution":[142],"offers":[143],"new":[145],"video":[146],"dataset":[147],"captured":[153],"underwater":[154],"various":[156],"poses.":[158],"Several":[159],"extensive":[160],"experiments":[161],"analyzed":[162],"performances":[164],"essential":[166],"achieved":[169],"satisfactory":[170],"results":[171],"compared":[172],"models.":[176],"The":[177],"efficiency":[178],"STAR":[181],"model":[182],"shows":[183],"it":[185],"obtained":[186],"fast":[187],"data":[188],"processing":[189],"speed":[190],"without":[191],"abundant":[192],"computational":[193],"resources":[194],"single-frame":[196],"analysis.":[197],"Applying":[198],"requires":[202],"detection":[205],"capture":[207],"area":[209],"interest":[211],"beginning":[214],"process.":[215]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}