{"id":"https://openalex.org/W4312985936","doi":"https://doi.org/10.1109/iicaiet55139.2022.9936777","title":"Detection and Identification of Intestinal Parasites on Dogs Using AlexNet CNN Architecture","display_name":"Detection and Identification of Intestinal Parasites on Dogs Using AlexNet CNN Architecture","publication_year":2022,"publication_date":"2022-09-13","ids":{"openalex":"https://openalex.org/W4312985936","doi":"https://doi.org/10.1109/iicaiet55139.2022.9936777"},"language":"en","primary_location":{"id":"doi:10.1109/iicaiet55139.2022.9936777","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iicaiet55139.2022.9936777","pdf_url":null,"source":{"id":"https://openalex.org/S4363608273","display_name":"2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","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/A5009423207","display_name":"Khaye C. Fajardo","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Khaye C. Fajardo","raw_affiliation_strings":["School of Electrical, Electronics, and Computer Engineering, Map&#x00FA;a University,Manila,Philippines"],"affiliations":[{"raw_affiliation_string":"School of Electrical, Electronics, and Computer Engineering, Map&#x00FA;a University,Manila,Philippines","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074180846","display_name":"Jerald SD. Gonzales","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jerald SD. Gonzales","raw_affiliation_strings":["School of Electrical, Electronics, and Computer Engineering, Map&#x00FA;a University,Manila,Philippines"],"affiliations":[{"raw_affiliation_string":"School of Electrical, Electronics, and Computer Engineering, Map&#x00FA;a University,Manila,Philippines","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065183357","display_name":"Carlos C. Hortinela","orcid":"https://orcid.org/0000-0003-0870-5382"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Carlos C. Hortinela IV","raw_affiliation_strings":["School of Electrical, Electronics, and Computer Engineering, Map&#x00FA;a University,Manila,Philippines"],"affiliations":[{"raw_affiliation_string":"School of Electrical, Electronics, and Computer Engineering, Map&#x00FA;a University,Manila,Philippines","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009423207"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3338,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.86404293,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9613999724388123,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9613999724388123,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13324","display_name":"Scientific and Engineering Research Topics","score":0.9598000049591064,"subfield":{"id":"https://openalex.org/subfields/3506","display_name":"Periodontics"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9520000219345093,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7396371364593506},{"id":"https://openalex.org/keywords/confusion-matrix","display_name":"Confusion matrix","score":0.7131396532058716},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6979677081108093},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6556446552276611},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.5527172684669495},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5425949096679688},{"id":"https://openalex.org/keywords/confusion","display_name":"Confusion","score":0.5277769565582275},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47124606370925903},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4353531002998352},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.17965757846832275},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.11356848478317261}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7396371364593506},{"id":"https://openalex.org/C138602881","wikidata":"https://www.wikidata.org/wiki/Q2709591","display_name":"Confusion matrix","level":2,"score":0.7131396532058716},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6979677081108093},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6556446552276611},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.5527172684669495},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5425949096679688},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.5277769565582275},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47124606370925903},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4353531002998352},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.17965757846832275},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.11356848478317261},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iicaiet55139.2022.9936777","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iicaiet55139.2022.9936777","pdf_url":null,"source":{"id":"https://openalex.org/S4363608273","display_name":"2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1655953468","https://openalex.org/W2015929915","https://openalex.org/W2077394746","https://openalex.org/W2090128122","https://openalex.org/W2166760871","https://openalex.org/W2558774270","https://openalex.org/W2684312012","https://openalex.org/W2793714280","https://openalex.org/W2799322858","https://openalex.org/W2808242482","https://openalex.org/W2897046249","https://openalex.org/W2908357858","https://openalex.org/W2922017268","https://openalex.org/W3019065253","https://openalex.org/W3019745836","https://openalex.org/W3020708390","https://openalex.org/W3036871615","https://openalex.org/W3115740854","https://openalex.org/W4226028769"],"related_works":["https://openalex.org/W1667647204","https://openalex.org/W2404647514","https://openalex.org/W4247536566","https://openalex.org/W2018477250","https://openalex.org/W3119814709","https://openalex.org/W4366202965","https://openalex.org/W1969293528","https://openalex.org/W2349679704","https://openalex.org/W4389633859","https://openalex.org/W2570625548"],"abstract_inverted_index":{"Roundworms":[0],"and":[1,18,26,39,56,60,85,110,126,131],"whipworms":[2],"are":[3],"examples":[4],"of":[5,23,58,112,124,149],"intestinal":[6,150],"parasites":[7,14],"that":[8,140],"feeds":[9],"on":[10],"its":[11],"host.":[12],"These":[13],"pose":[15],"a":[16,44],"threat":[17],"danger":[19],"to":[20,33,37,103],"the":[21,76,88,93,97,104,108,113],"health":[22],"both":[24],"non-domesticated":[25],"domesticated":[27],"dogs,":[28],"this":[29,42],"concern":[30],"also":[31],"extends":[32],"dog":[34],"owners":[35],"especially":[36],"young":[38],"elderly.":[40],"In":[41],"study,":[43],"deep":[45],"learning":[46],"model":[47,66],"named":[48],"Convolutional":[49],"Neural":[50],"Network":[51],"is":[52,67,73,96,117],"used":[53,146],"in":[54,128,147],"detection":[55,148],"identification":[57],"roundworm":[59,132],"whipworm":[61,130],"eggs.":[62,152],"The":[63,119,135],"CNN":[64,142],"trained":[65,74],"build":[68],"using":[69,75,87,92],"AlexNet":[70,141],"architecture.":[71],"It":[72],"image":[77,89],"dataset":[78,90],"collected":[79],"from":[80],"Vet":[81],"Central":[82],"Lab":[83],"Philippines":[84],"tested":[86],"captured":[91],"prototype":[94],"which":[95],"raspberry":[98],"pi":[99],"camera":[100],"module":[101],"mounted":[102],"microscope.":[105],"To":[106],"determine":[107],"efficiency":[109],"correctness":[111],"system,":[114],"confusion":[115],"matrix":[116],"applied.":[118],"system":[120],"obtained":[121],"an":[122],"accuracy":[123],"96%":[125],"90.74%":[127],"classifying":[129],"eggs":[133],"respectively.":[134],"study":[136],"shows":[137],"promising":[138],"result":[139],"architecture":[143],"can":[144],"be":[145],"parasite":[151]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-04-23T09:07:50.710637","created_date":"2025-10-10T00:00:00"}
