{"id":"https://openalex.org/W2998196162","doi":"https://doi.org/10.1109/sa47457.2019.8938092","title":"Evaluation of Deep Learning Strategies for Underwater Object Search","display_name":"Evaluation of Deep Learning Strategies for Underwater Object Search","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2998196162","doi":"https://doi.org/10.1109/sa47457.2019.8938092","mag":"2998196162"},"language":"en","primary_location":{"id":"doi:10.1109/sa47457.2019.8938092","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sa47457.2019.8938092","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 First International Conference on Societal Automation (SA)","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/A5029011839","display_name":"Mateusz Knapik","orcid":"https://orcid.org/0000-0001-5042-5160"},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Mateusz Knapik","raw_affiliation_strings":["AGH University of Science and Technology, Poland, 30-059 Krak\u00f3w, Poland"],"affiliations":[{"raw_affiliation_string":"AGH University of Science and Technology, Poland, 30-059 Krak\u00f3w, Poland","institution_ids":["https://openalex.org/I686019"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084051053","display_name":"Bogus\u0142aw Cyganek","orcid":"https://orcid.org/0000-0001-5185-1145"},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Boguslaw Cyganek","raw_affiliation_strings":["AGH University of Science and Technology, Poland, 30-059 Krak\u00f3w, Poland"],"affiliations":[{"raw_affiliation_string":"AGH University of Science and Technology, Poland, 30-059 Krak\u00f3w, Poland","institution_ids":["https://openalex.org/I686019"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5029011839"],"corresponding_institution_ids":["https://openalex.org/I686019"],"apc_list":null,"apc_paid":null,"fwci":0.4049,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.66683172,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.998199999332428,"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"}},"topics":[{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.998199999332428,"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.998199999332428,"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"}},{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9955000281333923,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.9384725093841553},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6994010210037231},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6987441778182983},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6103090047836304},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5300664305686951},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5138576030731201},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42743709683418274},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.42189720273017883},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4154196083545685},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37071073055267334},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32195425033569336},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13245853781700134}],"concepts":[{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.9384725093841553},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6994010210037231},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6987441778182983},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6103090047836304},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5300664305686951},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5138576030731201},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42743709683418274},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.42189720273017883},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4154196083545685},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37071073055267334},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32195425033569336},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13245853781700134},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sa47457.2019.8938092","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sa47457.2019.8938092","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 First International Conference on Societal Automation (SA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W2000454033","https://openalex.org/W2018088206","https://openalex.org/W2102605133","https://openalex.org/W2108598243","https://openalex.org/W2158989892","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2288990755","https://openalex.org/W2561675875","https://openalex.org/W2570343428","https://openalex.org/W2766648222","https://openalex.org/W2796154356","https://openalex.org/W2796347433","https://openalex.org/W2895671046","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2963854535","https://openalex.org/W2963936013","https://openalex.org/W2968177401","https://openalex.org/W3106250896","https://openalex.org/W4234324336","https://openalex.org/W4293584584","https://openalex.org/W4362597616","https://openalex.org/W6637373629","https://openalex.org/W6639102338","https://openalex.org/W6684191040","https://openalex.org/W6696355519","https://openalex.org/W6740580305","https://openalex.org/W6749751225","https://openalex.org/W6750227808","https://openalex.org/W6750462345","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2888342021","https://openalex.org/W2902485530","https://openalex.org/W3198811334","https://openalex.org/W2588000522","https://openalex.org/W3134515156","https://openalex.org/W3042026826","https://openalex.org/W3039035547","https://openalex.org/W3015833547","https://openalex.org/W2594878708","https://openalex.org/W3097774320","https://openalex.org/W3023388758","https://openalex.org/W2781578727","https://openalex.org/W3190968515","https://openalex.org/W3156803611","https://openalex.org/W2539676250","https://openalex.org/W3116384123","https://openalex.org/W2998259741","https://openalex.org/W2997780656","https://openalex.org/W2979908286","https://openalex.org/W2884367402"],"abstract_inverted_index":{"The":[0],"following":[1],"topics":[2],"are":[3],"dealt":[4],"with:":[5],"Internet":[6],"of":[7],"Things;":[8],"learning":[9],"(artificial":[10],"intelligence);":[11],"building":[12],"management":[13],"systems;":[14,26],"object":[15],"detection;":[16],"image":[17],"classification;":[18],"temperature":[19],"sensors;":[20],"decision":[21],"making;":[22],"innovation":[23],"management;":[24],"cyber-physical":[25],"fault":[27],"diagnosis.":[28]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
