{"id":"https://openalex.org/W4392980834","doi":"https://doi.org/10.1109/icaiic60209.2024.10463397","title":"A Dynamic Machine Learning Model for Accelerated Oil Spill Remediation","display_name":"A Dynamic Machine Learning Model for Accelerated Oil Spill Remediation","publication_year":2024,"publication_date":"2024-02-19","ids":{"openalex":"https://openalex.org/W4392980834","doi":"https://doi.org/10.1109/icaiic60209.2024.10463397"},"language":"en","primary_location":{"id":"doi:10.1109/icaiic60209.2024.10463397","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icaiic60209.2024.10463397","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","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/A5094198430","display_name":"Sathvik Chemudupati","orcid":null},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sathvik Chemudupati","raw_affiliation_strings":["University of Texas at Austin,Department of Computer Science,United States of America","Department of Computer Science, University of Texas at Austin, United States of America"],"affiliations":[{"raw_affiliation_string":"University of Texas at Austin,Department of Computer Science,United States of America","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"Department of Computer Science, University of Texas at Austin, United States of America","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5094198430"],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02316364,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"182","last_page":"187"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12316","display_name":"Oil Spill Detection and Mitigation","score":0.8522999882698059,"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":0.8522999882698059,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/environmental-remediation","display_name":"Environmental remediation","score":0.6585751175880432},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6225034594535828},{"id":"https://openalex.org/keywords/oil-spill","display_name":"Oil spill","score":0.6187885403633118},{"id":"https://openalex.org/keywords/petroleum-engineering","display_name":"Petroleum engineering","score":0.4760320484638214},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.35632264614105225},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13324692845344543},{"id":"https://openalex.org/keywords/contamination","display_name":"Contamination","score":0.09693241119384766}],"concepts":[{"id":"https://openalex.org/C522964758","wikidata":"https://www.wikidata.org/wiki/Q2019586","display_name":"Environmental remediation","level":3,"score":0.6585751175880432},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6225034594535828},{"id":"https://openalex.org/C2985668151","wikidata":"https://www.wikidata.org/wiki/Q220187","display_name":"Oil spill","level":2,"score":0.6187885403633118},{"id":"https://openalex.org/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","level":1,"score":0.4760320484638214},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.35632264614105225},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13324692845344543},{"id":"https://openalex.org/C112570922","wikidata":"https://www.wikidata.org/wiki/Q60528603","display_name":"Contamination","level":2,"score":0.09693241119384766},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaiic60209.2024.10463397","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icaiic60209.2024.10463397","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","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":0,"referenced_works":[],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2387912620","https://openalex.org/W1608282063","https://openalex.org/W2363883631","https://openalex.org/W2385304721","https://openalex.org/W2372530480","https://openalex.org/W2366040799","https://openalex.org/W2941001315","https://openalex.org/W4386024536","https://openalex.org/W2390279801"],"abstract_inverted_index":{"134":[0],"million":[1],"gallons":[2],"of":[3,10,15,35,46,53,74,122,146,220,226,235],"oil":[4,18,78,124,153,183,197,246],"were":[5,187],"spilled":[6],"into":[7],"the":[8,13,24,123,127,158,180,211,249],"Gulf":[9],"Mexico":[11],"after":[12,223],"explosion":[14],"an":[16,77,163],"offshore":[17],"rig":[19],"in":[20,202],"2010.":[21],"Known":[22],"as":[23,119],"Deepwater":[25],"Horizon":[26],"spill,":[27,79],"this":[28,60,161,252],"event":[29],"crippled":[30],"marine":[31],"environments":[32],"spanning":[33],"thousands":[34],"miles":[36],"and":[37,51,105,107,149,200,232],"killed":[38],"countless":[39],"sea":[40],"creatures":[41],"already":[42],"deemed":[43],"at":[44,208],"risk":[45],"extinction.":[47],"Over":[48],"10":[49,230],"years":[50],"billions":[52,145],"dollars":[54],"later,":[55],"efforts":[56],"to":[57,67,85,94,144,156,178,189,194,243],"clean":[58],"up":[59],"spill":[61,114,184,198],"continue.":[62],"Rapid":[63],"mitigation":[64],"is":[65],"necessary":[66],"prevent":[68],"future":[69],"incidents":[70],"from":[71,251],"spiraling":[72],"out":[73],"control.":[75],"After":[76,205],"various":[80,209],"organizations":[81],"must":[82,108],"decide":[83],"how":[84],"remediate":[86,245],"it.":[87],"To":[88],"do":[89],"so,":[90],"there":[91],"are":[92,129],"close":[93],"a":[95,138,170,191,216,233],"dozen":[96],"methods":[97],"employed":[98],"today.":[99],"Each":[100],"approach":[101],"has":[102,175],"its":[103],"pros":[104],"cons":[106],"be":[109],"carefully":[110],"selected":[111],"based":[112,167],"on":[113],"conditions.":[115],"Some":[116],"techniques":[117],"(such":[118],"in-situ":[120],"burning":[121],"slick":[125],"off":[126],"water)":[128],"highly":[130],"effective":[131,182],"but":[132],"have":[133],"environmentally":[134],"degrading":[135],"effects.":[136],"Choosing":[137],"suboptimal":[139],"remediation":[140],"tactic":[141],"can":[142],"lead":[143],"wasted":[147],"dollars,":[148],"more":[150],"importantly,":[151],"leftover":[152],"that":[154],"continues":[155],"harm":[157],"environment.":[159],"During":[160],"study,":[162],"artificial":[164],"intelligence":[165],"(AI)":[166],"system":[168],"using":[169],"convolutional":[171],"neural":[172],"network":[173],"(CNN)":[174],"been":[176],"developed":[177],"prescribe":[179],"most":[181],"countermeasure.":[185],"Findings":[186],"used":[188],"develop":[190],"mobile":[192],"application":[193],"further":[195],"expedite":[196],"cleanup":[199],"recovery":[201],"real":[203],"time.":[204],"being":[206],"tested":[207],"configurations,":[210],"machine":[212],"learning":[213],"model":[214],"achieved":[215],"maximum":[217],"average":[218],"accuracy":[219],"93.1":[221],"%":[222],"16.19":[224],"seconds":[225],"training":[227],"time":[228],"with":[229],"epochs":[231],"batch-size":[234],"16.":[236],"This":[237],"work":[238],"significantly":[239],"enhances":[240],"our":[241],"ability":[242],"quickly":[244],"spills,":[247],"protecting":[248],"environment":[250],"disastrous":[253],"calamity.":[254]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
