{"id":"https://openalex.org/W4403717706","doi":"https://doi.org/10.1145/3690407.3690447","title":"A method for detecting effective information on express waybills based on an improved YOLO v5s algorithm","display_name":"A method for detecting effective information on express waybills based on an improved YOLO v5s algorithm","publication_year":2024,"publication_date":"2024-06-21","ids":{"openalex":"https://openalex.org/W4403717706","doi":"https://doi.org/10.1145/3690407.3690447"},"language":"en","primary_location":{"id":"doi:10.1145/3690407.3690447","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3690407.3690447","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":"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/A5040133670","display_name":"T Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I3018263800","display_name":"Huzhou University","ror":"https://ror.org/04mvpxy20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3018263800"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tianhua Wang","raw_affiliation_strings":["School of Engineering, Huzhou University, Huzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0009-0006-4987-1212","affiliations":[{"raw_affiliation_string":"School of Engineering, Huzhou University, Huzhou, Zhejiang, China","institution_ids":["https://openalex.org/I3018263800"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yiyao Chu","orcid":"https://orcid.org/0009-0002-7097-6597"},"institutions":[{"id":"https://openalex.org/I3018263800","display_name":"Huzhou University","ror":"https://ror.org/04mvpxy20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3018263800"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiyao Chu","raw_affiliation_strings":["School of Engineering, Huzhou University, Huzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0009-0002-7097-6597","affiliations":[{"raw_affiliation_string":"School of Engineering, Huzhou University, Huzhou, Zhejiang, China","institution_ids":["https://openalex.org/I3018263800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064413990","display_name":"Y. H. Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I3018263800","display_name":"Huzhou University","ror":"https://ror.org/04mvpxy20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3018263800"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangke Zheng","raw_affiliation_strings":["School of Engineering, Huzhou University, Huzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0009-0004-8439-6520","affiliations":[{"raw_affiliation_string":"School of Engineering, Huzhou University, Huzhou, Zhejiang, China","institution_ids":["https://openalex.org/I3018263800"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103967631","display_name":"Jile Huge","orcid":null},"institutions":[{"id":"https://openalex.org/I3018263800","display_name":"Huzhou University","ror":"https://ror.org/04mvpxy20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3018263800"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jile Huge","raw_affiliation_strings":["School of Science, Huzhou University, Huzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0009-0008-6228-9061","affiliations":[{"raw_affiliation_string":"School of Science, Huzhou University, Huzhou, Zhejiang, China","institution_ids":["https://openalex.org/I3018263800"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5040133670"],"corresponding_institution_ids":["https://openalex.org/I3018263800"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28650617,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"237","last_page":"241"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.6760994791984558},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37454670667648315},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3524457514286041}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6760994791984558},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37454670667648315},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3524457514286041}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3690407.3690447","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3690407.3690447","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2806070179"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"To":[0],"address":[1],"the":[2,14,45,53,59,68,84,87,92,96,105,114,139,143,163,176],"issues":[3],"of":[4,17,86,95,99,178],"excessive":[5],"labor":[6],"costs":[7],"and":[8,56,90,120,158],"low":[9],"sorting":[10,19,22],"efficiency":[11,177],"caused":[12],"by":[13],"continued":[15],"use":[16],"manual":[18],"at":[20],"terminal":[21],"centers,":[23],"this":[24,43],"paper":[25],"proposes":[26],"an":[27,37],"express":[28,100,179],"face":[29],"sheet":[30],"critical":[31],"information":[32,98,171],"detection":[33,93,121],"model":[34],"based":[35],"on":[36],"improved":[38,144],"YOLO":[39,141],"v5s":[40],"algorithm.":[41],"In":[42],"paper,":[44],"channel":[46,88],"attention":[47,82],"mechanism":[48],"(ECA)":[49],"is":[50,118,123],"introduced":[51],"into":[52],"backbone":[54,69],"network,":[55,70],"fused":[57],"with":[58,63],"C3":[60],"(CSP":[61],"bottleneck":[62],"3":[64],"convolutions)":[65],"structure":[66],"in":[67,150,155,162],"so":[71],"as":[72],"to":[73,83,138],"design":[74],"a":[75,147,152,159],"new":[76],"C3ECA":[77],"structure,":[78],"which":[79,167],"can":[80,168],"pay":[81],"characteristics":[85],"dimension":[89],"improve":[91],"effect":[94],"effective":[97,170],"delivery":[101],"orders.":[102],"By":[103],"optimizing":[104],"loss":[106],"function":[107],"through":[108],"DIoU":[109],"(Distance":[110],"Intersection":[111],"over":[112],"Union),":[113],"false":[115],"positive":[116],"rate":[117],"reduced":[119],"accuracy":[122],"improved.":[124],"A":[125],"custom":[126],"dataset":[127],"was":[128],"constructed":[129],"for":[130],"experimentation.":[131],"The":[132],"experimental":[133],"results":[134],"indicate":[135],"that,":[136],"compared":[137],"original":[140],"v5s,":[142],"algorithm":[145],"achieved":[146],"4.6%":[148],"increase":[149,154],"precision,":[151,166],"2.8%":[153],"recall":[156],"rate,":[157],"1.1%":[160],"enhancement":[161],"mean":[164],"average":[165],"detect":[169],"more":[172],"accurately,":[173],"thereby":[174],"improving":[175],"sorting.":[180]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}