{"id":"https://openalex.org/W4403709152","doi":"https://doi.org/10.1145/3690407.3690413","title":"Research on the Design of Blasting Protection Hose Thickness Based on Machine Learning","display_name":"Research on the Design of Blasting Protection Hose Thickness Based on Machine Learning","publication_year":2024,"publication_date":"2024-06-21","ids":{"openalex":"https://openalex.org/W4403709152","doi":"https://doi.org/10.1145/3690407.3690413"},"language":"en","primary_location":{"id":"doi:10.1145/3690407.3690413","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3690407.3690413","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 4th International Conference on Artificial Intelligence, Big Data and Algorithms","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/A5062241033","display_name":"Zhiwen Liu","orcid":"https://orcid.org/0009-0005-3099-5066"},"institutions":[{"id":"https://openalex.org/I31590910","display_name":"Jianghan University","ror":"https://ror.org/041c9x778","country_code":"CN","type":"education","lineage":["https://openalex.org/I31590910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwen Liu","raw_affiliation_strings":["School of Intelligent Manufacturing, Jianghan University, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0009-0005-3099-5066","affiliations":[{"raw_affiliation_string":"School of Intelligent Manufacturing, Jianghan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I31590910"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wenhao Cai","orcid":"https://orcid.org/0009-0006-1884-2013"},"institutions":[{"id":"https://openalex.org/I31590910","display_name":"Jianghan University","ror":"https://ror.org/041c9x778","country_code":"CN","type":"education","lineage":["https://openalex.org/I31590910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhao Cai","raw_affiliation_strings":["School of Intelligent Manufacturing, Jianghan University, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0009-0006-1884-2013","affiliations":[{"raw_affiliation_string":"School of Intelligent Manufacturing, Jianghan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I31590910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100811898","display_name":"Tonghui Qian","orcid":"https://orcid.org/0009-0002-9300-4766"},"institutions":[{"id":"https://openalex.org/I31590910","display_name":"Jianghan University","ror":"https://ror.org/041c9x778","country_code":"CN","type":"education","lineage":["https://openalex.org/I31590910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tonghui Qian","raw_affiliation_strings":["State Key Laboratory of Precision Blasting, Jianghan University, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0009-0002-9300-4766","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Precision Blasting, Jianghan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I31590910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114388162","display_name":"Weile Bai","orcid":null},"institutions":[{"id":"https://openalex.org/I31590910","display_name":"Jianghan University","ror":"https://ror.org/041c9x778","country_code":"CN","type":"education","lineage":["https://openalex.org/I31590910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weile Bai","raw_affiliation_strings":["School of Intelligent Manufacturing, Jianghan University, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0009-0001-9480-9622","affiliations":[{"raw_affiliation_string":"School of Intelligent Manufacturing, Jianghan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I31590910"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026278781","display_name":"Tao Bian","orcid":"https://orcid.org/0000-0003-3883-1494"},"institutions":[{"id":"https://openalex.org/I31590910","display_name":"Jianghan University","ror":"https://ror.org/041c9x778","country_code":"CN","type":"education","lineage":["https://openalex.org/I31590910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Bian","raw_affiliation_strings":["School of Intelligent Manufacturing, Jianghan University, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0000-0003-3883-1494","affiliations":[{"raw_affiliation_string":"School of Intelligent Manufacturing, Jianghan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I31590910"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I31590910"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"31","last_page":"35"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14042","display_name":"Technology and Security Systems","score":0.9362999796867371,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T14042","display_name":"Technology and Security Systems","score":0.9362999796867371,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/rock-blasting","display_name":"Rock blasting","score":0.7451313138008118},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.580665111541748},{"id":"https://openalex.org/keywords/engineering-drawing","display_name":"Engineering drawing","score":0.32997679710388184},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3098447918891907},{"id":"https://openalex.org/keywords/mining-engineering","display_name":"Mining engineering","score":0.11821889877319336}],"concepts":[{"id":"https://openalex.org/C50933969","wikidata":"https://www.wikidata.org/wiki/Q2891954","display_name":"Rock blasting","level":2,"score":0.7451313138008118},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.580665111541748},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.32997679710388184},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3098447918891907},{"id":"https://openalex.org/C16674752","wikidata":"https://www.wikidata.org/wiki/Q1370637","display_name":"Mining engineering","level":1,"score":0.11821889877319336}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3690407.3690413","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3690407.3690413","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 4th International Conference on Artificial Intelligence, Big Data and Algorithms","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W4205851139","https://openalex.org/W4221009571"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2389130112","https://openalex.org/W2359102462","https://openalex.org/W2500867234","https://openalex.org/W4234706425","https://openalex.org/W2377205869","https://openalex.org/W2394386260","https://openalex.org/W2376068700"],"abstract_inverted_index":{"Design":[0],"research":[1],"on":[2,32],"the":[3,11,14,25,28,33,59,62,65,73,85,94,97,118,123,131,144,148],"throwing":[4],"characteristics":[5],"of":[6,13,27,36,96,117,147],"blasting":[7,38,159],"flying":[8],"rocks":[9],"and":[10,39,50,53,69,78,111,130,155],"thickness":[12,146],"protective":[15,149],"water":[16,150],"belt":[17],"is":[18,90,121,128,134],"limited.":[19],"In":[20,81],"order":[21,82],"to":[22,83,92,141],"further":[23],"improve":[24],"accuracy":[26,110],"prediction":[29,67,87,109,115],"results,":[30],"based":[31],"experimental":[34],"data":[35],"engineering":[37],"Fluent":[40],"simulation":[41],"data,":[42],"a":[43],"four-input":[44],"(object":[45],"density,":[46],"object":[47,60],"radius,":[48],"distance":[49,58],"initial":[51],"velocity)":[52],"an":[54],"output":[55],"(the":[56],"maximum":[57],"entered":[61],"water).":[63],"Establish":[64],"XGBoost":[66],"model,":[68],"compare":[70],"it":[71],"with":[72],"traditional":[74],"BP":[75],"neural":[76],"network":[77],"RBF":[79],"network.":[80],"obtain":[84],"best":[86],"performance,":[88],"cuckoo":[89],"used":[91,140],"optimize":[93],"hyperparameters":[95],"three":[98,105],"models.":[99],"The":[100,114],"results":[101],"show":[102],"that":[103],"all":[104],"models":[106],"have":[107],"good":[108],"generalization":[112],"ability.":[113],"performance":[116],"CSA-XGBoost":[119],"model":[120,137],"better,":[122],"root":[124],"mean":[125],"square":[126],"error":[127],"smaller,":[129],"regression":[132],"coefficient":[133],"higher.":[135],"This":[136],"can":[138],"be":[139],"quickly":[142],"predict":[143],"minimum":[145],"belt,":[151],"providing":[152],"new":[153],"insights":[154],"reliable":[156],"methods":[157],"for":[158],"safety":[160],"protection":[161],"work.":[162]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
