{"id":"https://openalex.org/W4390703333","doi":"https://doi.org/10.3390/s24020411","title":"Offshore Oil Spill Detection Based on CNN, DBSCAN, and Hyperspectral Imaging","display_name":"Offshore Oil Spill Detection Based on CNN, DBSCAN, and Hyperspectral Imaging","publication_year":2024,"publication_date":"2024-01-10","ids":{"openalex":"https://openalex.org/W4390703333","doi":"https://doi.org/10.3390/s24020411","pmid":"https://pubmed.ncbi.nlm.nih.gov/38257504"},"language":"en","primary_location":{"id":"doi:10.3390/s24020411","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24020411","pdf_url":"https://www.mdpi.com/1424-8220/24/2/411/pdf?version=1704854742","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/24/2/411/pdf?version=1704854742","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100544612","display_name":"Ce Zhan","orcid":null},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]},{"id":"https://openalex.org/I181903023","display_name":"Xi'an Shiyou University","ror":"https://ror.org/040c7js64","country_code":"CN","type":"education","lineage":["https://openalex.org/I181903023"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ce Zhan","raw_affiliation_strings":["Hubei Key Laboratory of Drilling and Production Engineering for Oil and Gas, Yangtze University, Jingzhou 430023, China","School of Computer Science, Yangtze University, Jingzhou 430023, China","Xi\u2019an Key Laboratory of Tight Oil (Shale Oil) Development, Xi\u2019an Shiyou University, Xi\u2019an 710065, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Drilling and Production Engineering for Oil and Gas, Yangtze University, Jingzhou 430023, China","institution_ids":["https://openalex.org/I177739611"]},{"raw_affiliation_string":"School of Computer Science, Yangtze University, Jingzhou 430023, China","institution_ids":["https://openalex.org/I177739611"]},{"raw_affiliation_string":"Xi\u2019an Key Laboratory of Tight Oil (Shale Oil) Development, Xi\u2019an Shiyou University, Xi\u2019an 710065, China","institution_ids":["https://openalex.org/I181903023"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024105887","display_name":"Kai Bai","orcid":"https://orcid.org/0000-0002-0494-8427"},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]},{"id":"https://openalex.org/I181903023","display_name":"Xi'an Shiyou University","ror":"https://ror.org/040c7js64","country_code":"CN","type":"education","lineage":["https://openalex.org/I181903023"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kai Bai","raw_affiliation_strings":["Hubei Key Laboratory of Drilling and Production Engineering for Oil and Gas, Yangtze University, Jingzhou 430023, China","School of Computer Science, Yangtze University, Jingzhou 430023, China","Xi\u2019an Key Laboratory of Tight Oil (Shale Oil) Development, Xi\u2019an Shiyou University, Xi\u2019an 710065, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Drilling and Production Engineering for Oil and Gas, Yangtze University, Jingzhou 430023, China","institution_ids":["https://openalex.org/I177739611"]},{"raw_affiliation_string":"School of Computer Science, Yangtze University, Jingzhou 430023, China","institution_ids":["https://openalex.org/I177739611"]},{"raw_affiliation_string":"Xi\u2019an Key Laboratory of Tight Oil (Shale Oil) Development, Xi\u2019an Shiyou University, Xi\u2019an 710065, China","institution_ids":["https://openalex.org/I181903023"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053158157","display_name":"Binrui Tu","orcid":null},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]},{"id":"https://openalex.org/I181903023","display_name":"Xi'an Shiyou University","ror":"https://ror.org/040c7js64","country_code":"CN","type":"education","lineage":["https://openalex.org/I181903023"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binrui Tu","raw_affiliation_strings":["Hubei Key Laboratory of Drilling and Production Engineering for Oil and Gas, Yangtze University, Jingzhou 430023, China","School of Computer Science, Yangtze University, Jingzhou 430023, China","Xi\u2019an Key Laboratory of Tight Oil (Shale Oil) Development, Xi\u2019an Shiyou University, Xi\u2019an 710065, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Drilling and Production Engineering for Oil and Gas, Yangtze University, Jingzhou 430023, China","institution_ids":["https://openalex.org/I177739611"]},{"raw_affiliation_string":"School of Computer Science, Yangtze University, Jingzhou 430023, China","institution_ids":["https://openalex.org/I177739611"]},{"raw_affiliation_string":"Xi\u2019an Key Laboratory of Tight Oil (Shale Oil) Development, Xi\u2019an Shiyou University, Xi\u2019an 710065, China","institution_ids":["https://openalex.org/I181903023"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089617707","display_name":"Wanxing Zhang","orcid":"https://orcid.org/0000-0001-6402-0674"},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]},{"id":"https://openalex.org/I181903023","display_name":"Xi'an Shiyou University","ror":"https://ror.org/040c7js64","country_code":"CN","type":"education","lineage":["https://openalex.org/I181903023"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanxing Zhang","raw_affiliation_strings":["Hubei Key Laboratory of Drilling and Production Engineering for Oil and Gas, Yangtze University, Jingzhou 430023, China","School of Computer Science, Yangtze University, Jingzhou 430023, China","Xi\u2019an Key Laboratory of Tight Oil (Shale Oil) Development, Xi\u2019an Shiyou University, Xi\u2019an 710065, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Drilling and Production Engineering for Oil and Gas, Yangtze University, Jingzhou 430023, China","institution_ids":["https://openalex.org/I177739611"]},{"raw_affiliation_string":"School of Computer Science, Yangtze University, Jingzhou 430023, China","institution_ids":["https://openalex.org/I177739611"]},{"raw_affiliation_string":"Xi\u2019an Key Laboratory of Tight Oil (Shale Oil) Development, Xi\u2019an Shiyou University, Xi\u2019an 710065, China","institution_ids":["https://openalex.org/I181903023"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5024105887"],"corresponding_institution_ids":["https://openalex.org/I177739611","https://openalex.org/I181903023"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":2.452,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.88938602,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"24","issue":"2","first_page":"411","last_page":"411"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12316","display_name":"Oil Spill Detection and Mitigation","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2310","display_name":"Pollution"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12316","display_name":"Oil Spill Detection and Mitigation","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2310","display_name":"Pollution"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9621999859809875,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10032","display_name":"Marine and coastal ecosystems","score":0.9336000084877014,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.788196861743927},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6762571334838867},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6300978660583496},{"id":"https://openalex.org/keywords/submarine-pipeline","display_name":"Submarine pipeline","score":0.5578038692474365},{"id":"https://openalex.org/keywords/dbscan","display_name":"DBSCAN","score":0.552829921245575},{"id":"https://openalex.org/keywords/oil-spill","display_name":"Oil spill","score":0.5146366357803345},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5008523464202881},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.46746328473091125},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3512708842754364},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.35081571340560913},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3470410108566284},{"id":"https://openalex.org/keywords/petroleum-engineering","display_name":"Petroleum engineering","score":0.2366531789302826},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1341570019721985},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09918883442878723}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.788196861743927},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6762571334838867},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6300978660583496},{"id":"https://openalex.org/C162284963","wikidata":"https://www.wikidata.org/wiki/Q17106102","display_name":"Submarine pipeline","level":2,"score":0.5578038692474365},{"id":"https://openalex.org/C46576248","wikidata":"https://www.wikidata.org/wiki/Q1114630","display_name":"DBSCAN","level":5,"score":0.552829921245575},{"id":"https://openalex.org/C2985668151","wikidata":"https://www.wikidata.org/wiki/Q220187","display_name":"Oil spill","level":2,"score":0.5146366357803345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5008523464202881},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.46746328473091125},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3512708842754364},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.35081571340560913},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3470410108566284},{"id":"https://openalex.org/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","level":1,"score":0.2366531789302826},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1341570019721985},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09918883442878723},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.0},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.0},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s24020411","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24020411","pdf_url":"https://www.mdpi.com/1424-8220/24/2/411/pdf?version=1704854742","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:38257504","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38257504","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10819121","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10819121","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10819121/pdf/sensors-24-00411.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:5e1c2759eafb473ca12f2c93c5c5e764","is_oa":true,"landing_page_url":"https://doaj.org/article/5e1c2759eafb473ca12f2c93c5c5e764","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":"Sensors, Vol 24, Iss 2, p 411 (2024)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/24/2/411/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s24020411","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s24020411","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24020411","pdf_url":"https://www.mdpi.com/1424-8220/24/2/411/pdf?version=1704854742","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1238610475","display_name":null,"funder_award_id":"D20201304","funder_id":"https://openalex.org/F4320313620","funder_display_name":"Hubei Provincial Department of Education"},{"id":"https://openalex.org/G460080257","display_name":null,"funder_award_id":"XSTS-202101","funder_id":"https://openalex.org/F4320313620","funder_display_name":"Hubei Provincial Department of Education"}],"funders":[{"id":"https://openalex.org/F4320313620","display_name":"Hubei Provincial Department of Education","ror":"https://ror.org/05yaa9j15"},{"id":"https://openalex.org/F4320324773","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390703333.pdf"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W3016831415","https://openalex.org/W3045982802","https://openalex.org/W3094245237","https://openalex.org/W3109296750","https://openalex.org/W3168997536","https://openalex.org/W3169470951","https://openalex.org/W3173392501","https://openalex.org/W3174008170","https://openalex.org/W3182009020","https://openalex.org/W3197221586","https://openalex.org/W3210709473","https://openalex.org/W4205415018","https://openalex.org/W4206071406","https://openalex.org/W4293067022","https://openalex.org/W4312395209","https://openalex.org/W4327756839","https://openalex.org/W4377018703","https://openalex.org/W4377101066","https://openalex.org/W4382983338","https://openalex.org/W4384203519","https://openalex.org/W4386162096","https://openalex.org/W4390187400","https://openalex.org/W6798192155"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2070598848","https://openalex.org/W2044184146","https://openalex.org/W4313014865","https://openalex.org/W2019190440","https://openalex.org/W2343470940"],"abstract_inverted_index":{"Offshore":[0],"oil":[1,18,26,66,89,143,159],"spills":[2],"have":[3,40],"the":[4,12,77,86,101,105,121,136,147,163,195],"potential":[5,98],"to":[6,53,84,100,120,141,170,193],"inflict":[7],"substantial":[8],"ecological":[9],"damage,":[10],"underscoring":[11],"critical":[13],"importance":[14],"of":[15,88,108,199],"timely":[16],"offshore":[17,25,158],"spill":[19,27,67,90,144,160],"detection":[20,28,51,56,92],"and":[21,173,188,197],"remediation.":[22],"At":[23],"present,":[24],"typically":[29],"combines":[30],"hyperspectral":[31,167],"imaging":[32],"with":[33,76,182],"deep":[34],"learning":[35],"techniques.":[36],"While":[37],"these":[38],"methodologies":[39],"made":[41],"significant":[42],"advancements,":[43],"they":[44],"prove":[45],"inadequate":[46],"in":[47,93,162],"scenarios":[48],"requiring":[49],"real-time":[50,94],"due":[52],"limited":[54],"model":[55],"speeds.":[57],"To":[58,150],"address":[59],"this":[60],"challenge,":[61],"a":[62,97,115,129,166,175,190],"method":[63,82,113,181],"for":[64],"detecting":[65],"areas":[68,145],"is":[69,139],"introduced,":[70],"combining":[71],"convolutional":[72,130],"neural":[73,131],"networks":[74],"(CNNs)":[75],"DBSCAN":[78,137],"clustering":[79],"algorithm.":[80],"This":[81],"aims":[83],"enhance":[85],"efficiency":[87],"area":[91],"scenarios,":[95],"providing":[96],"solution":[99],"limitations":[102,198],"posed":[103],"by":[104,125],"intricate":[106],"structures":[107],"existing":[109],"models.":[110],"The":[111],"proposed":[112,153],"includes":[114],"pre-feature":[116],"selection":[117],"process":[118],"applied":[119],"spectral":[122],"data,":[123],"followed":[124],"pixel":[126],"classification":[127,148],"using":[128],"network":[132],"(CNN)":[133],"model.":[134,201],"Subsequently,":[135],"algorithm":[138],"employed":[140],"segment":[142],"from":[146],"results.":[149],"validate":[151],"our":[152,180],"method,":[154],"we":[155],"simulate":[156],"an":[157],"environment":[161],"laboratory,":[164],"utilizing":[165],"sensing":[168],"device":[169],"collect":[171],"data":[172],"create":[174],"dataset.":[176],"We":[177],"then":[178],"compare":[179],"three":[183],"other":[184],"models-DRSNet,":[185],"CNN-Visual":[186],"Transformer,":[187],"GCN-conducting":[189],"comprehensive":[191],"analysis":[192],"evaluate":[194],"advantages":[196],"each":[200]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":3}],"updated_date":"2026-06-08T08:47:23.578185","created_date":"2025-10-10T00:00:00"}