{"id":"https://openalex.org/W2211360937","doi":"https://doi.org/10.1109/spa.2015.7365154","title":"Ship resistance prediction with Artificial Neural Networks","display_name":"Ship resistance prediction with Artificial Neural Networks","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2211360937","doi":"https://doi.org/10.1109/spa.2015.7365154","mag":"2211360937"},"language":"en","primary_location":{"id":"doi:10.1109/spa.2015.7365154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spa.2015.7365154","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5010433931","display_name":"Karolina Grabowska","orcid":"https://orcid.org/0000-0002-8323-8094"},"institutions":[{"id":"https://openalex.org/I169333911","display_name":"Gda\u0144sk University of Technology","ror":"https://ror.org/006x4sc24","country_code":"PL","type":"education","lineage":["https://openalex.org/I169333911"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"K. Grabowska","raw_affiliation_strings":["Faculty of Electronics, Telecommunications, and Informatics, Gdansk University of Technology, Gda\u0144sk, POLAND"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electronics, Telecommunications, and Informatics, Gdansk University of Technology, Gda\u0144sk, POLAND","institution_ids":["https://openalex.org/I169333911"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023999861","display_name":"Piotr Szczuko","orcid":"https://orcid.org/0000-0003-3703-8734"},"institutions":[{"id":"https://openalex.org/I169333911","display_name":"Gda\u0144sk University of Technology","ror":"https://ror.org/006x4sc24","country_code":"PL","type":"education","lineage":["https://openalex.org/I169333911"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"P. Szczuko","raw_affiliation_strings":["Faculty of Electronics, Telecommunications, and Informatics, Gdansk University of Technology, Gda\u0144sk, POLAND"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electronics, Telecommunications, and Informatics, Gdansk University of Technology, Gda\u0144sk, POLAND","institution_ids":["https://openalex.org/I169333911"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I169333911"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.12948312,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"168","last_page":"173"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12126","display_name":"Maritime Transport Emissions and Efficiency","score":0.9771999716758728,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T12126","display_name":"Maritime Transport Emissions and Efficiency","score":0.9771999716758728,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T11604","display_name":"Ship Hydrodynamics and Maneuverability","score":0.9628999829292297,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9484999775886536,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/towing","display_name":"Towing","score":0.9345172643661499},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.8709220290184021},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5231634378433228},{"id":"https://openalex.org/keywords/resistance","display_name":"Resistance (ecology)","score":0.4557187259197235},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43994826078414917},{"id":"https://openalex.org/keywords/marine-engineering","display_name":"Marine engineering","score":0.3939670920372009},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.391704261302948},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.355265349149704}],"concepts":[{"id":"https://openalex.org/C23927387","wikidata":"https://www.wikidata.org/wiki/Q332030","display_name":"Towing","level":2,"score":0.9345172643661499},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.8709220290184021},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5231634378433228},{"id":"https://openalex.org/C57473165","wikidata":"https://www.wikidata.org/wiki/Q7315604","display_name":"Resistance (ecology)","level":2,"score":0.4557187259197235},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43994826078414917},{"id":"https://openalex.org/C199104240","wikidata":"https://www.wikidata.org/wiki/Q118291","display_name":"Marine engineering","level":1,"score":0.3939670920372009},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.391704261302948},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.355265349149704},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spa.2015.7365154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spa.2015.7365154","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"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":13,"referenced_works":["https://openalex.org/W159873042","https://openalex.org/W353957520","https://openalex.org/W1514205146","https://openalex.org/W1554663460","https://openalex.org/W2000359198","https://openalex.org/W2026943567","https://openalex.org/W2029223910","https://openalex.org/W2068484625","https://openalex.org/W2078950386","https://openalex.org/W2274244986","https://openalex.org/W2782703409","https://openalex.org/W4388297464","https://openalex.org/W6981670246"],"related_works":["https://openalex.org/W2351841182","https://openalex.org/W2394291532","https://openalex.org/W139474440","https://openalex.org/W1493019143","https://openalex.org/W4255120876","https://openalex.org/W4309271577","https://openalex.org/W598266188","https://openalex.org/W2811339947","https://openalex.org/W2973508084","https://openalex.org/W4390282267"],"abstract_inverted_index":{"The":[0,65],"paper":[1],"is":[2,37,92],"dedicated":[3],"to":[4,26,38,44,59,94],"a":[5,30,80],"new":[6],"method":[7],"of":[8,69,82],"ship's":[9],"resistance":[10,62,97],"prediction":[11,98],"using":[12],"Artificial":[13],"Neural":[14],"Network":[15],"(ANN).":[16],"In":[17],"the":[18,48,52,61,90,100],"initial":[19],"stage":[20],"selected":[21],"ships":[22],"parameters":[23,46,57,68,77],"are":[24,63],"prepared":[25],"be":[27],"used":[28,93],"as":[29,79],"training":[31],"and":[32,43],"validation":[33],"sets.":[34],"Next":[35],"step":[36],"verify":[39],"several":[40],"network":[41,103],"structures":[42],"determine":[45],"with":[47,75,99],"highest":[49],"influence":[50],"on":[51,85],"result":[53,81],"resistance.":[54],"Finally,":[55],"other":[56],"expected":[58],"impact":[60],"proposed.":[64],"research":[66],"utilizes":[67],"7":[70],"already":[71],"built":[72],"off-shore":[73],"vessels,":[74],"model":[76],"available":[78],"tests":[83],"conducted":[84],"European":[86],"towing":[87],"tanks.":[88],"Thus,":[89],"reference":[91],"assess":[95],"ship":[96],"artificial":[101],"neural":[102],"approach.":[104]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3}],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2025-10-10T00:00:00"}
