{"id":"https://openalex.org/W4399144494","doi":"https://doi.org/10.1145/3654823.3654882","title":"Fractal Filter Networks for Sea State Classification Using Radar Sea Clutter Data","display_name":"Fractal Filter Networks for Sea State Classification Using Radar Sea Clutter Data","publication_year":2024,"publication_date":"2024-03-22","ids":{"openalex":"https://openalex.org/W4399144494","doi":"https://doi.org/10.1145/3654823.3654882"},"language":"en","primary_location":{"id":"doi:10.1145/3654823.3654882","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3654823.3654882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 3rd Asia Conference on Algorithms, Computing and Machine Learning","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/A5073465597","display_name":"Tianle Zhen","orcid":"https://orcid.org/0009-0004-4803-8275"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"T. Zhen","raw_affiliation_strings":["Shanghai Jiao Tong University, China"],"raw_orcid":"https://orcid.org/0009-0004-4803-8275","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103191915","display_name":"Gang Xiong","orcid":"https://orcid.org/0000-0002-9617-2151"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"G. Xiong","raw_affiliation_strings":["Shanghai Jiao Tong University, China"],"raw_orcid":"https://orcid.org/0000-0002-9617-2151","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100445293","display_name":"Wenxian Yu","orcid":"https://orcid.org/0000-0002-8741-776X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"W. Yu","raw_affiliation_strings":["Shanghai Jiao Tong University, China"],"raw_orcid":"https://orcid.org/0000-0002-8741-776X","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073465597"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.916,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72083215,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"323","last_page":"327"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11061","display_name":"Ocean Waves and Remote Sensing","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10255","display_name":"Oceanographic and Atmospheric Processes","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fractal","display_name":"Fractal","score":0.8230370283126831},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6847739219665527},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.6751024723052979},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.621584415435791},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5265299081802368},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4558805227279663},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.4366452693939209},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4117591381072998},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.340225487947464},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15033379197120667},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14053434133529663},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11801856756210327}],"concepts":[{"id":"https://openalex.org/C40636538","wikidata":"https://www.wikidata.org/wiki/Q81392","display_name":"Fractal","level":2,"score":0.8230370283126831},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6847739219665527},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.6751024723052979},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.621584415435791},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5265299081802368},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4558805227279663},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.4366452693939209},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4117591381072998},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.340225487947464},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15033379197120667},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14053434133529663},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11801856756210327},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3654823.3654882","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3654823.3654882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 3rd Asia Conference on Algorithms, Computing and Machine Learning","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.8700000047683716,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2009788061","https://openalex.org/W2049359114","https://openalex.org/W2108153296","https://openalex.org/W2154196451","https://openalex.org/W2168148636","https://openalex.org/W2169801781","https://openalex.org/W2194775991","https://openalex.org/W2408279554","https://openalex.org/W2780265514","https://openalex.org/W2792093324","https://openalex.org/W2805777666","https://openalex.org/W2908954199","https://openalex.org/W2968243320","https://openalex.org/W3094502228","https://openalex.org/W3174980028","https://openalex.org/W3202979025","https://openalex.org/W3213601271","https://openalex.org/W4365601179","https://openalex.org/W4385245566","https://openalex.org/W6684633660","https://openalex.org/W6684813833","https://openalex.org/W6687483927","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W2130674020","https://openalex.org/W2093748878","https://openalex.org/W2333771223","https://openalex.org/W2120056845","https://openalex.org/W1981531423","https://openalex.org/W4394861761","https://openalex.org/W2945706271","https://openalex.org/W4387435415","https://openalex.org/W2114169842","https://openalex.org/W2535808783"],"abstract_inverted_index":{"This":[0,121],"paper":[1],"introduces":[2],"Fractal":[3],"Filter":[4],"Networks":[5],"(FrFNet),":[6],"a":[7,48,99],"novel":[8,124],"network":[9],"architecture":[10],"for":[11,90,129],"signal":[12,25],"classification":[13,100],"that":[14,96],"learns":[15],"in":[16,115],"the":[17,21,38,44,56,77,80,87,130],"fractal":[18,24,49,53,66,69,133],"domain,":[19],"leveraging":[20],"integration":[22,131],"of":[23,34,43,79,102,132],"processing":[26],"and":[27,72,107,126,135],"deep":[28,136],"learning":[29],"methodologies.":[30],"The":[31,59],"primary":[32],"concept":[33],"FrFNet":[35,60,97,111],"is":[36],"substituting":[37],"initial":[39],"multi-head":[40],"attention":[41],"module":[42],"Transformer":[45,57],"model":[46],"with":[47],"filter,":[50],"thereby":[51],"introducing":[52],"characteristics":[54],"into":[55],"architecture.":[58],"framework":[61],"mainly":[62],"comprises":[63],"three":[64],"components:":[65],"feature":[67,70],"extractor,":[68],"mixer,":[71],"classifier":[73],"module.":[74],"To":[75],"assess":[76],"effectiveness":[78],"proposed":[81],"model,":[82],"experiments":[83],"were":[84],"conducted":[85],"on":[86],"IPIX":[88],"dataset":[89],"sea":[91],"state":[92],"classification.":[93],"Results":[94],"demonstrate":[95],"achieves":[98],"accuracy":[101],"97.3%,":[103],"outperforming":[104],"various":[105],"Transformer-style":[106],"CNN-style":[108],"models.":[109,120],"Furthermore,":[110],"exhibits":[112],"notable":[113],"advantages":[114],"convergence":[116],"speed":[117],"over":[118],"other":[119],"research":[122],"offers":[123],"insights":[125],"technical":[127],"avenues":[128],"theory":[134],"learning.":[137]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
