{"id":"https://openalex.org/W3152107023","doi":"https://doi.org/10.1109/cec45853.2021.9504704","title":"Monitoring Water Resources through a Bayesian Optimization-based Approach using Multiple Surface Vehicles: The Ypacarai Lake Case Study","display_name":"Monitoring Water Resources through a Bayesian Optimization-based Approach using Multiple Surface Vehicles: The Ypacarai Lake Case Study","publication_year":2021,"publication_date":"2021-06-28","ids":{"openalex":"https://openalex.org/W3152107023","doi":"https://doi.org/10.1109/cec45853.2021.9504704","mag":"3152107023"},"language":"en","primary_location":{"id":"doi:10.1109/cec45853.2021.9504704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec45853.2021.9504704","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Congress on Evolutionary Computation (CEC)","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/A5027907162","display_name":"Federico Peralta","orcid":"https://orcid.org/0000-0001-8847-3555"},"institutions":[{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Federico Peralta","raw_affiliation_strings":["Technical School of Engineering of Seville,Department of Electronic Engineering,Seville,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical School of Engineering of Seville,Department of Electronic Engineering,Seville,Spain","institution_ids":["https://openalex.org/I79238269"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050088832","display_name":"Samuel Yanes","orcid":null},"institutions":[{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Samuel Yanes","raw_affiliation_strings":["Technical School of Engineering of Seville,Department of Electronic Engineering,Seville,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical School of Engineering of Seville,Department of Electronic Engineering,Seville,Spain","institution_ids":["https://openalex.org/I79238269"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014119633","display_name":"Daniel Guti\u00e9rrez Reina","orcid":"https://orcid.org/0000-0002-2481-5058"},"institutions":[{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Daniel Gutierrez Reina","raw_affiliation_strings":["Technical School of Engineering of Seville,Department of Electronic Engineering,Seville,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical School of Engineering of Seville,Department of Electronic Engineering,Seville,Spain","institution_ids":["https://openalex.org/I79238269"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003625612","display_name":"S. L. Toral","orcid":"https://orcid.org/0000-0003-2612-0388"},"institutions":[{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Sergio Toral","raw_affiliation_strings":["Technical School of Engineering of Seville,Department of Electronic Engineering,Seville,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical School of Engineering of Seville,Department of Electronic Engineering,Seville,Spain","institution_ids":["https://openalex.org/I79238269"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2799,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62065858,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"1511","last_page":"1518"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9965999722480774,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9965999722480774,"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9916999936103821,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7360201478004456},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6927266120910645},{"id":"https://openalex.org/keywords/voronoi-diagram","display_name":"Voronoi diagram","score":0.6520453691482544},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6247081756591797},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.6204707026481628},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.4338891804218292},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38921254873275757},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3868688642978668},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14793702960014343}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7360201478004456},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6927266120910645},{"id":"https://openalex.org/C24881265","wikidata":"https://www.wikidata.org/wiki/Q757267","display_name":"Voronoi diagram","level":2,"score":0.6520453691482544},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6247081756591797},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.6204707026481628},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.4338891804218292},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38921254873275757},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3868688642978668},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14793702960014343},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec45853.2021.9504704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec45853.2021.9504704","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Clean water and sanitation","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/6"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1746819321","https://openalex.org/W2532574496","https://openalex.org/W2543131193","https://openalex.org/W2620408778","https://openalex.org/W2753908057","https://openalex.org/W2766900259","https://openalex.org/W2809128225","https://openalex.org/W2850432004","https://openalex.org/W2892916373","https://openalex.org/W2947525982","https://openalex.org/W2950752390","https://openalex.org/W2969167400","https://openalex.org/W2976818350","https://openalex.org/W3004751533","https://openalex.org/W3098639178","https://openalex.org/W3104379836","https://openalex.org/W3118524082","https://openalex.org/W4211049957"],"related_works":["https://openalex.org/W3020555194","https://openalex.org/W2793256277","https://openalex.org/W4360958759","https://openalex.org/W2348235448","https://openalex.org/W2116218375","https://openalex.org/W2389906634","https://openalex.org/W176898926","https://openalex.org/W288156810","https://openalex.org/W1562406979","https://openalex.org/W2962797788"],"abstract_inverted_index":{"Bayesian":[0,43],"optimization":[1,44],"is":[2,89,111],"a":[3,47,63,92],"popular":[4],"sequential":[5],"decision":[6],"strategy":[7],"that":[8,107,129],"can":[9],"be":[10],"used":[11],"for":[12,154],"environmental":[13],"monitoring.":[14],"In":[15],"this":[16],"work,":[17],"we":[18,116],"propose":[19],"an":[20,81],"efficient":[21],"multi-Autonomous":[22],"Surface":[23],"Vehicle":[24],"system":[25,52,95],"capable":[26],"of":[27,62,145],"monitoring":[28],"the":[29,42,57,99,103,119,136,157],"Ypacarai":[30,137],"Lake":[31],"(San":[32],"Bernardino,":[33],"Paraguay)":[34],"(60":[35],"km":[36],"<sup":[37],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[38],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[39],")":[40],"using":[41,67],"approach":[45],"with":[46,101],"Voronoi":[48,93],"Partition":[49,94],"system.":[50],"The":[51,126],"manages":[53,132],"to":[54,74,85,97,133],"quickly":[55],"approximate":[56,143],"real":[58],"unknown":[59],"distribution":[60],"map":[61],"water":[64,77,146],"quality":[65,78,147],"parameter":[66],"Gaussian":[68],"Processes":[69],"as":[70],"surrogate":[71,159],"models.":[72],"Furthermore,":[73],"select":[75],"new":[76],"measurement":[79],"locations,":[80],"acquisition":[82],"function":[83],"adapted":[84],"vehicle":[86],"energy":[87],"constraints":[88],"used.":[90],"Moreover,":[91],"helps":[96],"distributing":[98],"workload":[100],"all":[102],"available":[104],"vehicles,":[105],"so":[106],"robustness":[108],"and":[109,123,139],"scalability":[110],"assured.":[112],"For":[113],"evaluation":[114],"purposes,":[115],"use":[117],"both":[118],"mean":[120],"squared":[121],"error":[122],"computational":[124],"efficiency.":[125],"results":[127],"showed":[128],"our":[130],"method":[131],"efficiently":[134],"monitor":[135],"Lake,":[138],"also":[140],"provides":[141],"confident":[142],"models":[144],"parameters.":[148],"It":[149],"has":[150],"been":[151],"observed":[152],"that,":[153],"every":[155],"vehicle,":[156],"resulting":[158],"model":[160],"improves":[161],"by":[162],"38%.":[163]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
