{"id":"https://openalex.org/W4313166161","doi":"https://doi.org/10.1145/3570773.3570832","title":"Convolutional neural network-based image recognition for animals","display_name":"Convolutional neural network-based image recognition for animals","publication_year":2022,"publication_date":"2022-10-13","ids":{"openalex":"https://openalex.org/W4313166161","doi":"https://doi.org/10.1145/3570773.3570832"},"language":"en","primary_location":{"id":"doi:10.1145/3570773.3570832","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3570773.3570832","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","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/A5046343307","display_name":"Hexuetao Huang","orcid":"https://orcid.org/0000-0002-4450-4353"},"institutions":[{"id":"https://openalex.org/I170593348","display_name":"Lexington Theological Seminary","ror":"https://ror.org/03bqbw279","country_code":"US","type":"education","lineage":["https://openalex.org/I170593348"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hexuetao Huang","raw_affiliation_strings":["Lexington Christian Academy, United States"],"affiliations":[{"raw_affiliation_string":"Lexington Christian Academy, United States","institution_ids":["https://openalex.org/I170593348"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5046343307"],"corresponding_institution_ids":["https://openalex.org/I170593348"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10006451,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"123","last_page":"127"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9879999756813049,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9824000000953674,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.9112687110900879},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7763224840164185},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6934745907783508},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6028013825416565},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5751063823699951},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5230492353439331},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47566670179367065},{"id":"https://openalex.org/keywords/cats","display_name":"CATS","score":0.47412705421447754},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4605402648448944},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43540728092193604}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.9112687110900879},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7763224840164185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6934745907783508},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6028013825416565},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5751063823699951},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5230492353439331},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47566670179367065},{"id":"https://openalex.org/C2779904517","wikidata":"https://www.wikidata.org/wiki/Q5008900","display_name":"CATS","level":2,"score":0.47412705421447754},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4605402648448944},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43540728092193604},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3570773.3570832","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3570773.3570832","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","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":7,"referenced_works":["https://openalex.org/W1901616594","https://openalex.org/W2112796928","https://openalex.org/W2284729062","https://openalex.org/W2884430236","https://openalex.org/W2923537029","https://openalex.org/W3016480885","https://openalex.org/W3082548640"],"related_works":["https://openalex.org/W2048953206","https://openalex.org/W4200402359","https://openalex.org/W2317262293","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"In":[0],"this":[1,78],"paper,":[2],"the":[3,18,37,53,57,66,72,81,86,89,97],"basic":[4,38],"of":[5,20,40,83],"convolutional":[6],"neural":[7],"network":[8],"(CNN)":[9],"and":[10,35,49,61,68,91],"machine":[11],"learning":[12],"(ML)":[13],"was":[14],"introduced":[15],"firstly.":[16],"With":[17],"help":[19],"TensorFlow,":[21],"a":[22],"model":[23],"building":[24],"tool,":[25],"including":[26,46],"how":[27],"they":[28],"work":[29,79],"together":[30],"to":[31,51],"process":[32],"an":[33],"image":[34,90],"extract":[36],"information":[39],"it,":[41],"25000":[42],"images":[43],"were":[44],"used":[45],"both":[47],"cats":[48,60,67],"dogs":[50,62],"train":[52],"CNN,":[54],"which":[55],"makes":[56],"differences":[58],"between":[59],"accessible,":[63],"therefore":[64],"identifying":[65,85],"dogs.":[69],"After":[70],"training":[71],"program":[73],"with":[74],"such":[75],"data":[76,99],"sets,":[77],"calculated":[80],"probability":[82],"correctly":[84],"animals":[87],"in":[88],"finally":[92],"analyzed":[93],"it":[94],"by":[95],"using":[96],"existing":[98],"sets.":[100]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
