{"id":"https://openalex.org/W7151270272","doi":"https://doi.org/10.1109/icmla66185.2025.00122","title":"Neural Oceans: Physics-Informed Deep Learning for Underwater Marine Debris Forecasting","display_name":"Neural Oceans: Physics-Informed Deep Learning for Underwater Marine Debris Forecasting","publication_year":2025,"publication_date":"2025-12-03","ids":{"openalex":"https://openalex.org/W7151270272","doi":"https://doi.org/10.1109/icmla66185.2025.00122"},"language":null,"primary_location":{"id":"doi:10.1109/icmla66185.2025.00122","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmla66185.2025.00122","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Machine Learning and Applications (ICMLA)","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/A5133109526","display_name":"Abdullah Tariq Choudhry","orcid":null},"institutions":[{"id":"https://openalex.org/I108541056","display_name":"Pacific University Oregon","ror":"https://ror.org/03g873n36","country_code":"US","type":"education","lineage":["https://openalex.org/I108541056"]},{"id":"https://openalex.org/I119942576","display_name":"University of the Pacific","ror":"https://ror.org/05ma4gw77","country_code":"US","type":"education","lineage":["https://openalex.org/I119942576"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Abdullah Tariq Choudhry","raw_affiliation_strings":["University of the Pacific,School of Engineering and Computer Science,USA"],"affiliations":[{"raw_affiliation_string":"University of the Pacific,School of Engineering and Computer Science,USA","institution_ids":["https://openalex.org/I108541056","https://openalex.org/I119942576"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078728251","display_name":"Vivek K. Pallipuram","orcid":"https://orcid.org/0000-0002-3721-3814"},"institutions":[{"id":"https://openalex.org/I108541056","display_name":"Pacific University Oregon","ror":"https://ror.org/03g873n36","country_code":"US","type":"education","lineage":["https://openalex.org/I108541056"]},{"id":"https://openalex.org/I119942576","display_name":"University of the Pacific","ror":"https://ror.org/05ma4gw77","country_code":"US","type":"education","lineage":["https://openalex.org/I119942576"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vivek K. Pallipuram","raw_affiliation_strings":["University of the Pacific,School of Engineering and Computer Science,USA"],"affiliations":[{"raw_affiliation_string":"University of the Pacific,School of Engineering and Computer Science,USA","institution_ids":["https://openalex.org/I108541056","https://openalex.org/I119942576"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5133109526"],"corresponding_institution_ids":["https://openalex.org/I108541056","https://openalex.org/I119942576"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.87273916,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"832","last_page":"837"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.3174000084400177,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.3174000084400177,"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/T10255","display_name":"Oceanographic and Atmospheric Processes","score":0.15839999914169312,"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"}},{"id":"https://openalex.org/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.06159999966621399,"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/deep-learning","display_name":"Deep learning","score":0.5982000231742859},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47440001368522644},{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.37689998745918274},{"id":"https://openalex.org/keywords/debris","display_name":"Debris","score":0.3418000042438507},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3059999942779541},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.2736999988555908}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5982000231742859},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5016999840736389},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47440001368522644},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.40950000286102295},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3926999866962433},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.37689998745918274},{"id":"https://openalex.org/C2776023875","wikidata":"https://www.wikidata.org/wiki/Q637703","display_name":"Debris","level":2,"score":0.3418000042438507},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3215999901294708},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3059999942779541},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.30300000309944153},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.2736999988555908},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2676999866962433},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.26660001277923584},{"id":"https://openalex.org/C2988134249","wikidata":"https://www.wikidata.org/wiki/Q22932371","display_name":"Deep water","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.25029999017715454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmla66185.2025.00122","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmla66185.2025.00122","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Machine Learning and Applications (ICMLA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.7040750980377197,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320311584","display_name":"University of the Pacific","ror":"https://ror.org/05ma4gw77"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1965740143","https://openalex.org/W2011923115","https://openalex.org/W2037496050","https://openalex.org/W2041307272","https://openalex.org/W2071965302","https://openalex.org/W2130707940","https://openalex.org/W2604316091","https://openalex.org/W2737217596","https://openalex.org/W2792474067","https://openalex.org/W2796340947","https://openalex.org/W2946547034","https://openalex.org/W2959012558","https://openalex.org/W3002696674","https://openalex.org/W3018351936","https://openalex.org/W3087333805","https://openalex.org/W3158868556","https://openalex.org/W4205835860"],"related_works":[],"abstract_inverted_index":{"Underwater":[0],"marine":[1,7,152,168,185],"debris":[2,31,77,110,169],"poses":[3],"significant":[4],"threats":[5],"to":[6,16,108,131,142],"ecosystems":[8],"and":[9,137,184],"coastal":[10],"environments,":[11],"yet":[12],"remains":[13],"largely":[14],"invisible":[15],"traditional":[17],"satellite-based":[18],"monitoring":[19,170],"systems.":[20],"We":[21,64],"present":[22],"Neural":[23,162],"Oceans,":[24],"a":[25,51,69,133,138],"forecasting":[26,173],"system":[27],"for":[28,61,159,179],"predicting":[29],"underwater":[30,76],"accumulation":[32],"patterns":[33],"using":[34],"physics-informed":[35,90],"deep":[36],"learning.":[37],"Our":[38,89],"two-phase":[39],"methodology":[40],"combines":[41],"Lagrangian":[42],"particle":[43,71],"simulation":[44,73],"driven":[45],"by":[46,171],"real":[47],"oceanographic":[48],"data":[49,67],"with":[50,116,175],"convolutional":[52],"neural":[53],"network":[54],"-":[55],"long":[56],"short-term":[57],"memory":[58],"(CNN-LSTM)":[59],"architecture":[60],"spatiotemporal":[62],"prediction.":[63],"generate":[65],"training":[66,122],"through":[68],"realistic":[70],"transport":[72,99],"incorporating":[74],"157,550":[75],"particles":[78],"released":[79],"at":[80],"SeaClear":[81],"H2020":[82],"survey":[83,182],"sites":[84],"across":[85],"the":[86],"Mediterranean":[87],"Sea.":[88],"feature":[91],"engineering":[92],"creates":[93],"17":[94],"hydrodynamic":[95],"variables":[96],"capturing":[97],"multi-scale":[98],"processes.":[100],"The":[101,144],"CNN-LSTM":[102],"model":[103],"processes":[104],"7-day":[105],"environmental":[106],"sequences":[107,123],"predict":[109],"density":[111],"fields":[112],"36":[113],"hours":[114],"ahead":[115],"uncertainty":[117],"quantification.":[118],"Evaluation":[119],"on":[120],"172":[121],"demonstrates":[124],"an":[125],"R<sup":[126],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[127],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[128],"value":[129],"equal":[130,141],"0.623,":[132],"correlation":[134],"of":[135],"0.791,":[136],"hotspot":[139],"F1-score":[140],"0.710.":[143],"72":[145],"\u00d7":[146],"325":[147],"spatial":[148],"resolution":[149],"enables":[150],"regional":[151],"management":[153],"applications":[154],"while":[155],"remaining":[156],"computationally":[157],"tractable":[158],"real-time":[160],"deployment.":[161],"Oceans":[163],"addresses":[164],"critical":[165],"gaps":[166],"in":[167],"providing":[172],"capability":[174],"practical":[176],"lead":[177],"times":[178],"cleanup":[180],"prioritization,":[181],"optimization,":[183],"protected":[186],"area":[187],"management.":[188]},"counts_by_year":[],"updated_date":"2026-04-09T06:08:40.794217","created_date":"2026-04-08T00:00:00"}
