{"id":"https://openalex.org/W4290062454","doi":"https://doi.org/10.48550/arxiv.2208.02332","title":"Towards Generating Large Synthetic Phytoplankton Datasets for Efficient Monitoring of Harmful Algal Blooms","display_name":"Towards Generating Large Synthetic Phytoplankton Datasets for Efficient Monitoring of Harmful Algal Blooms","publication_year":2022,"publication_date":"2022-08-03","ids":{"openalex":"https://openalex.org/W4290062454","doi":"https://doi.org/10.48550/arxiv.2208.02332"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2208.02332","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2208.02332","pdf_url":"https://arxiv.org/pdf/2208.02332","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2208.02332","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072785171","display_name":"Nitpreet Bamra","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Bamra, Nitpreet","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013102998","display_name":"Vikram Voleti","orcid":"https://orcid.org/0000-0003-0941-7227"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Voleti, Vikram","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034161060","display_name":"Alexander Wong","orcid":"https://orcid.org/0000-0002-5295-2797"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wong, Alexander","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5003735718","display_name":"Jason Deglint","orcid":"https://orcid.org/0000-0003-2343-7013"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deglint, Jason","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5072785171"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9593999981880188,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T10930","display_name":"Flood Risk Assessment and Management","score":0.9593999981880188,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9429000020027161,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9086999893188477,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/algal-bloom","display_name":"Algal bloom","score":0.7547903656959534},{"id":"https://openalex.org/keywords/phytoplankton","display_name":"Phytoplankton","score":0.6910410523414612},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6200805306434631},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5866128206253052},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4226519465446472},{"id":"https://openalex.org/keywords/fish-actinopterygii","display_name":"Fish <Actinopterygii>","score":0.41192659735679626},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.37968897819519043},{"id":"https://openalex.org/keywords/environmental-resource-management","display_name":"Environmental resource management","score":0.3364447355270386},{"id":"https://openalex.org/keywords/fishery","display_name":"Fishery","score":0.2657613754272461},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.26074960827827454},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10827389359474182},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08432027697563171}],"concepts":[{"id":"https://openalex.org/C120305227","wikidata":"https://www.wikidata.org/wiki/Q326139","display_name":"Algal bloom","level":4,"score":0.7547903656959534},{"id":"https://openalex.org/C2780892065","wikidata":"https://www.wikidata.org/wiki/Q184755","display_name":"Phytoplankton","level":3,"score":0.6910410523414612},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6200805306434631},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5866128206253052},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4226519465446472},{"id":"https://openalex.org/C2909208804","wikidata":"https://www.wikidata.org/wiki/Q127282","display_name":"Fish <Actinopterygii>","level":2,"score":0.41192659735679626},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.37968897819519043},{"id":"https://openalex.org/C107826830","wikidata":"https://www.wikidata.org/wiki/Q929380","display_name":"Environmental resource management","level":1,"score":0.3364447355270386},{"id":"https://openalex.org/C505870484","wikidata":"https://www.wikidata.org/wiki/Q180538","display_name":"Fishery","level":1,"score":0.2657613754272461},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.26074960827827454},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10827389359474182},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08432027697563171},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C142796444","wikidata":"https://www.wikidata.org/wiki/Q181394","display_name":"Nutrient","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2208.02332","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2208.02332","pdf_url":"https://arxiv.org/pdf/2208.02332","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"doi:10.48550/arxiv.2208.02332","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2208.02332","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2208.02332","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2208.02332","pdf_url":"https://arxiv.org/pdf/2208.02332","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2727882364","https://openalex.org/W2515150038","https://openalex.org/W2018570418","https://openalex.org/W2314303387","https://openalex.org/W2384073316","https://openalex.org/W2375532439","https://openalex.org/W1919712243","https://openalex.org/W2128605576","https://openalex.org/W4364375349","https://openalex.org/W2763114495"],"abstract_inverted_index":{"Climate":[0],"change":[1],"is":[2,62,73,97],"increasing":[3],"the":[4,38,49,52,123,137,178,198],"frequency":[5],"and":[6,26,59,66,77,93,104,110,168],"severity":[7],"of":[8,107,125,144,180,189,200,207,221],"harmful":[9,57,222],"algal":[10,223],"blooms":[11],"(HABs),":[12],"which":[13,44],"cause":[14],"significant":[15],"fish":[16,33],"deaths":[17],"in":[18,45,81,136],"aquaculture":[19],"farms.":[20],"This":[21,72],"contributes":[22],"to":[23,42,55,63,115,156,202],"ocean":[24,39],"pollution":[25],"greenhouse":[27],"gas":[28],"(GHG)":[29],"emissions":[30],"since":[31],"dead":[32],"are":[34,113],"either":[35],"dumped":[36],"into":[37],"or":[40],"taken":[41],"landfills,":[43],"turn":[46],"negatively":[47],"impacts":[48],"climate.":[50],"Currently,":[51],"standard":[53,171],"method":[54],"enumerate":[56],"algae":[58],"other":[60],"phytoplankton":[61,108,131,183,208],"manually":[64],"observe":[65],"count":[67],"them":[68],"under":[69],"a":[70,74,141,186,214],"microscope.":[71],"time-consuming,":[75],"tedious":[76],"error-prone":[78],"process,":[79],"resulting":[80],"compromised":[82],"management":[83],"decisions":[84],"by":[85],"farmers.":[86],"Hence,":[87],"automating":[88],"this":[89,101,119,148,195],"process":[90],"for":[91],"quick":[92],"accurate":[94],"HAB":[95],"monitoring":[96,220],"extremely":[98],"helpful.":[99],"However,":[100],"requires":[102],"large":[103,204],"diverse":[105],"datasets":[106,112,206],"images,":[109,132],"such":[111],"hard":[114],"produce":[116],"quickly.":[117],"In":[118],"work,":[120],"we":[121,150],"explore":[122],"feasibility":[124],"generating":[126],"novel":[127],"high-resolution":[128],"photorealistic":[129],"synthetic":[130,158,182,205],"containing":[133],"multiple":[134],"species":[135],"same":[138],"image,":[139],"given":[140],"small":[142,210],"dataset":[143,188],"real":[145,192],"images.":[146,159,193],"To":[147],"end,":[149],"employ":[151],"Generative":[152],"Adversarial":[153],"Networks":[154],"(GANs)":[155],"generate":[157],"We":[160,175],"evaluate":[161],"three":[162],"different":[163],"GAN":[164],"architectures:":[165],"ProjectedGAN,":[166],"FastGAN,":[167],"StyleGANv2":[169],"using":[170,185],"image":[172],"quality":[173],"metrics.":[174],"empirically":[176],"show":[177],"generation":[179],"high-fidelity":[181],"images":[184],"training":[187,211],"only":[190],"961":[191],"Thus,":[194],"work":[196],"demonstrates":[197],"ability":[199],"GANs":[201],"create":[203],"from":[209],"datasets,":[212],"accomplishing":[213],"key":[215],"step":[216],"towards":[217],"sustainable":[218],"systematic":[219],"blooms.":[224]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}