{"id":"https://openalex.org/W4317418473","doi":"https://doi.org/10.1109/gcce56475.2022.10014116","title":"Detection of Resting Zones Based on PSPNet in Salmon Scale Images","display_name":"Detection of Resting Zones Based on PSPNet in Salmon Scale Images","publication_year":2022,"publication_date":"2022-10-18","ids":{"openalex":"https://openalex.org/W4317418473","doi":"https://doi.org/10.1109/gcce56475.2022.10014116"},"language":"en","primary_location":{"id":"doi:10.1109/gcce56475.2022.10014116","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/gcce56475.2022.10014116","pdf_url":null,"source":{"id":"https://openalex.org/S4363607800","display_name":"2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)","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/A5073505072","display_name":"Mikiyasu Nishiyama","orcid":null},"institutions":[{"id":"https://openalex.org/I41725924","display_name":"Muroran Institute of Technology","ror":"https://ror.org/04rymkk69","country_code":"JP","type":"education","lineage":["https://openalex.org/I41725924"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Mikiyasu Nishiyama","raw_affiliation_strings":["Muroran Institute of Technology,Division of Information and Electronic,Muroran,Japan,050-8585"],"affiliations":[{"raw_affiliation_string":"Muroran Institute of Technology,Division of Information and Electronic,Muroran,Japan,050-8585","institution_ids":["https://openalex.org/I41725924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019775014","display_name":"Genki Suzuki","orcid":"https://orcid.org/0000-0003-0881-7544"},"institutions":[{"id":"https://openalex.org/I41725924","display_name":"Muroran Institute of Technology","ror":"https://ror.org/04rymkk69","country_code":"JP","type":"education","lineage":["https://openalex.org/I41725924"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Genki Suzuki","raw_affiliation_strings":["Muroran Institute of Technology,Division of Information and Electronic,Muroran,Japan,050-8585"],"affiliations":[{"raw_affiliation_string":"Muroran Institute of Technology,Division of Information and Electronic,Muroran,Japan,050-8585","institution_ids":["https://openalex.org/I41725924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050505764","display_name":"Hiroyuki Shioya","orcid":"https://orcid.org/0000-0003-1648-7629"},"institutions":[{"id":"https://openalex.org/I41725924","display_name":"Muroran Institute of Technology","ror":"https://ror.org/04rymkk69","country_code":"JP","type":"education","lineage":["https://openalex.org/I41725924"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroyuki Shioya","raw_affiliation_strings":["Muroran Institute of Technology,Division of Information and Electronic,Muroran,Japan,050-8585"],"affiliations":[{"raw_affiliation_string":"Muroran Institute of Technology,Division of Information and Electronic,Muroran,Japan,050-8585","institution_ids":["https://openalex.org/I41725924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073505072"],"corresponding_institution_ids":["https://openalex.org/I41725924"],"apc_list":null,"apc_paid":null,"fwci":0.7224,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.77722772,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"44","issue":null,"first_page":"910","last_page":"911"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10302","display_name":"Fish Ecology and Management Studies","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2309","display_name":"Nature and Landscape Conservation"},"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/T10302","display_name":"Fish Ecology and Management Studies","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2309","display_name":"Nature and Landscape Conservation"},"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9922000169754028,"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/T10230","display_name":"Marine and fisheries research","score":0.9768999814987183,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6034755110740662},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6014260053634644},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.570483922958374},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.5653960108757019},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5229911804199219},{"id":"https://openalex.org/keywords/fishery","display_name":"Fishery","score":0.48636820912361145},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.452729195356369},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.452095091342926},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3537682592868805},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3377372622489929},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2462989091873169},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.1529698669910431},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13097912073135376},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07408210635185242}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6034755110740662},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6014260053634644},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.570483922958374},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.5653960108757019},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5229911804199219},{"id":"https://openalex.org/C505870484","wikidata":"https://www.wikidata.org/wiki/Q180538","display_name":"Fishery","level":1,"score":0.48636820912361145},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.452729195356369},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.452095091342926},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3537682592868805},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3377372622489929},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2462989091873169},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.1529698669910431},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13097912073135376},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07408210635185242},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcce56475.2022.10014116","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/gcce56475.2022.10014116","pdf_url":null,"source":{"id":"https://openalex.org/S4363607800","display_name":"2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321683","display_name":"Eni","ror":"https://ror.org/038483r84"},{"id":"https://openalex.org/F4320325628","display_name":"Ministry of Internal Affairs and Communications","ror":"https://ror.org/00vs1pz50"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2560023338","https://openalex.org/W2963037989","https://openalex.org/W6628973269","https://openalex.org/W6639824700"],"related_works":["https://openalex.org/W2218202131","https://openalex.org/W84108837","https://openalex.org/W2519676117","https://openalex.org/W2155740880","https://openalex.org/W4253249845","https://openalex.org/W2148444631","https://openalex.org/W1826068234","https://openalex.org/W2125452230","https://openalex.org/W2185138819","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Sustainable":[0],"fisheries":[1],"resource":[2],"management":[3],"is":[4,42],"essential":[5],"due":[6],"to":[7,44,74],"the":[8,33,55,63,66],"increasingly":[9],"poor":[10,78],"catch":[11],"of":[12,54,58,65,68,77],"chum":[13,70],"salmon":[14,29,71],"in":[15,28],"Japan.":[16],"This":[17],"paper":[18],"presents":[19],"a":[20,37],"neural":[21],"network-based":[22],"method":[23,35],"for":[24],"detecting":[25],"resting":[26,59],"zones":[27,60],"scale":[30],"images.":[31],"Specifically,":[32],"proposed":[34],"uses":[36],"semantic":[38],"segmentation":[39],"model":[40],"that":[41],"trained":[43],"effectively":[45],"recognize":[46],"scales":[47],"with":[48],"different":[49],"shapes":[50],"and":[51,72],"patterns.":[52],"Automation":[53],"fast":[56],"detection":[57],"can":[61],"increase":[62],"utilization":[64],"database":[67],"migrating":[69],"contribute":[73],"our":[75],"analysis":[76],"catches.":[79]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}