{"id":"https://openalex.org/W4411551487","doi":"https://doi.org/10.1109/cscwd64889.2025.11033600","title":"Neural Network Driven by Density and Parallel Features for Field-Road Mode Mining","display_name":"Neural Network Driven by Density and Parallel Features for Field-Road Mode Mining","publication_year":2025,"publication_date":"2025-05-05","ids":{"openalex":"https://openalex.org/W4411551487","doi":"https://doi.org/10.1109/cscwd64889.2025.11033600"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd64889.2025.11033600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd64889.2025.11033600","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","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/A5102943185","display_name":"Fengqi Hao","orcid":"https://orcid.org/0009-0002-3458-6567"},"institutions":[{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["MO"],"is_corresponding":true,"raw_author_name":"Fengqi Hao","raw_affiliation_strings":["City University of Macau,Faculty of Data Science,Macau,China,999078"],"affiliations":[{"raw_affiliation_string":"City University of Macau,Faculty of Data Science,Macau,China,999078","institution_ids":["https://openalex.org/I6469544"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054710092","display_name":"Xiyuan Zhao","orcid":"https://orcid.org/0009-0001-7512-007X"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiyuan Zhao","raw_affiliation_strings":["Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education,Jinan,China,250014"],"affiliations":[{"raw_affiliation_string":"Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education,Jinan,China,250014","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015926619","display_name":"Cunxiang Bian","orcid":"https://orcid.org/0009-0009-2485-141X"},"institutions":[{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cunxiang Bian","raw_affiliation_strings":["Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education,Jinan,China,250014"],"affiliations":[{"raw_affiliation_string":"Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education,Jinan,China,250014","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076361698","display_name":"Jinqiang Bai","orcid":"https://orcid.org/0000-0003-4322-6598"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinqiang Bai","raw_affiliation_strings":["Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education,Jinan,China,250014"],"affiliations":[{"raw_affiliation_string":"Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education,Jinan,China,250014","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020371996","display_name":"Qingyan Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyan Ding","raw_affiliation_strings":["Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education,Jinan,China,250014"],"affiliations":[{"raw_affiliation_string":"Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education,Jinan,China,250014","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102943185"],"corresponding_institution_ids":["https://openalex.org/I6469544"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18078989,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"165","last_page":"170"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12482","display_name":"Tunneling and Rock Mechanics","score":0.9750000238418579,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12482","display_name":"Tunneling and Rock Mechanics","score":0.9750000238418579,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9435999989509583,"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"}},{"id":"https://openalex.org/T12282","display_name":"Mineral Processing and Grinding","score":0.9156000018119812,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/artificial-neural-network","display_name":"Artificial neural network","score":0.6396846175193787},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6310815215110779},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.6295088529586792},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.579738974571228},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.337274968624115},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31792962551116943},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.193261981010437}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6396846175193787},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6310815215110779},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.6295088529586792},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.579738974571228},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.337274968624115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31792962551116943},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.193261981010437},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd64889.2025.11033600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd64889.2025.11033600","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.4099999964237213,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1975839885","https://openalex.org/W2022673873","https://openalex.org/W2051224630","https://openalex.org/W2079735306","https://openalex.org/W2131774270","https://openalex.org/W2592612020","https://openalex.org/W2738132136","https://openalex.org/W2786016794","https://openalex.org/W2963351448","https://openalex.org/W3088611441","https://openalex.org/W3153772969","https://openalex.org/W3159347162","https://openalex.org/W4206573688","https://openalex.org/W4225595226","https://openalex.org/W4281936140","https://openalex.org/W4285815555","https://openalex.org/W4288801286","https://openalex.org/W4309091566","https://openalex.org/W4377290734","https://openalex.org/W4378448371","https://openalex.org/W4389988575","https://openalex.org/W6637131181","https://openalex.org/W6745120910","https://openalex.org/W6757817989","https://openalex.org/W6777046832"],"related_works":["https://openalex.org/W2391251536","https://openalex.org/W2362198218","https://openalex.org/W2019521278","https://openalex.org/W1984922432","https://openalex.org/W2375008505","https://openalex.org/W1982750869","https://openalex.org/W2085756966","https://openalex.org/W2350679292","https://openalex.org/W2086348228","https://openalex.org/W4390653028"],"abstract_inverted_index":{"Field-road":[0],"mode":[1],"mining":[2],"(FRMM)":[3],"has":[4],"gained":[5],"increasing":[6],"attention":[7],"because":[8,65],"of":[9,37,55,109,119,126,165,186],"its":[10,110,124],"crucial":[11],"role":[12],"in":[13,26,123],"machinery":[14],"management.":[15],"As":[16],"the":[17,50,103,107,117,130,160,170,184],"Global":[18],"Navigation":[19],"Satellite":[20],"System":[21],"(GNSS)":[22],"is":[23,90,99,156],"widely":[24],"applied":[25],"agricultural":[27],"machinery,":[28],"many":[29],"methods":[30,48,181],"based":[31,168],"on":[32,169,190],"motion":[33,135],"and":[34,52,73,87,113,133,162,182,188,193],"spatial-temporal":[35],"features":[36,54,60,89,132,136],"GNSS":[38,56,166],"trajectory":[39],"data":[40],"have":[41,69],"been":[42],"proposed":[43,91],"for":[44,63,92],"FRMM.":[45,94],"However,":[46],"these":[47],"ignore":[49],"density":[51,72,86,104],"parallel":[53,75,88,114,121],"points.":[57,79],"The":[58],"two":[59,131],"are":[61,141],"useful":[62],"FRMM":[64],"field":[66,161],"points":[67,76,122,167],"usually":[68],"a":[70,81,96,144,153],"higher":[71],"more":[74],"than":[77],"road":[78,163],"Therefore,":[80],"neural":[82,145],"network":[83,146],"driven":[84],"by":[85],"accurate":[93],"Firstly,":[95],"statistical":[97],"method":[98,178],"designed":[100],"to":[101,147,158],"extract":[102,148],"feature":[105,115],"(i.e.,":[106,116],"number":[108,118],"neighbor":[111],"points)":[112],"approximately":[120],"neighbors)":[125],"each":[127],"point.":[128],"Then,":[129],"eight":[134],"(e.g.,":[137],"speed,":[138],"direction,":[139],"etc.)":[140],"fed":[142],"into":[143],"valuable":[149],"latent":[150,171],"features.":[151,172],"Finally,":[152],"linear":[154],"classifier":[155],"used":[157],"identify":[159],"categories":[164],"Experimental":[173],"results":[174],"show":[175],"that":[176],"our":[177],"outperforms":[179],"state-of-the-art":[180],"achieves":[183],"accuracy":[185],"91.69%":[187],"86.44%":[189],"public":[191],"Wheat":[192],"Paddy":[194],"datasets,":[195],"respectively.":[196]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}