{"id":"https://openalex.org/W4384209521","doi":"https://doi.org/10.1145/3591569.3591604","title":"Fine-Tuning Deep Neural Networks and SVM to improve Vietnamese Herbal Medicine Classification","display_name":"Fine-Tuning Deep Neural Networks and SVM to improve Vietnamese Herbal Medicine Classification","publication_year":2023,"publication_date":"2023-02-24","ids":{"openalex":"https://openalex.org/W4384209521","doi":"https://doi.org/10.1145/3591569.3591604"},"language":"en","primary_location":{"id":"doi:10.1145/3591569.3591604","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3591569.3591604","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 8th International Conference on Intelligent Information Technology","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/A5011522380","display_name":"Phuoc-Hai Huynh","orcid":"https://orcid.org/0000-0001-8348-9267"},"institutions":[{"id":"https://openalex.org/I49382586","display_name":"An Giang University","ror":"https://ror.org/023pm6532","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I49382586"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Phuoc-Hai Huynh","raw_affiliation_strings":["Faculty of Information Technology, An Giang University, Vietnam"],"raw_orcid":"https://orcid.org/0000-0001-8348-9267","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, An Giang University, Vietnam","institution_ids":["https://openalex.org/I49382586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031714104","display_name":"Luyl-Da Quach","orcid":"https://orcid.org/0000-0002-5661-4250"},"institutions":[{"id":"https://openalex.org/I109689652","display_name":"FPT University","ror":"https://ror.org/03esj4g97","country_code":"VN","type":"education","lineage":["https://openalex.org/I109689652"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Luyl-Da Quach","raw_affiliation_strings":["Software Engineering Dept., FPT University, Vietnam"],"raw_orcid":"https://orcid.org/0000-0002-5661-4250","affiliations":[{"raw_affiliation_string":"Software Engineering Dept., FPT University, Vietnam","institution_ids":["https://openalex.org/I109689652"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056369179","display_name":"Lan Thi Thu Le","orcid":"https://orcid.org/0009-0002-8676-7618"},"institutions":[{"id":"https://openalex.org/I109689652","display_name":"FPT University","ror":"https://ror.org/03esj4g97","country_code":"VN","type":"education","lineage":["https://openalex.org/I109689652"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Lan Thi Thu Le","raw_affiliation_strings":["Software Engineering Dept., FPT University, Vietnam"],"raw_orcid":"https://orcid.org/0009-0002-8676-7618","affiliations":[{"raw_affiliation_string":"Software Engineering Dept., FPT University, Vietnam","institution_ids":["https://openalex.org/I109689652"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069777977","display_name":"Thanh-Nghi Doan","orcid":"https://orcid.org/0000-0002-9957-0948"},"institutions":[{"id":"https://openalex.org/I49382586","display_name":"An Giang University","ror":"https://ror.org/023pm6532","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I49382586"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Thanh-Nghi Doan","raw_affiliation_strings":["Faculty of Information Technology, An Giang University, Vietnam"],"raw_orcid":"https://orcid.org/0000-0002-9957-0948","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, An Giang University, Vietnam","institution_ids":["https://openalex.org/I49382586"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7658,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85534261,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"199","last_page":"202"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"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/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"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/T10616","display_name":"Smart Agriculture and AI","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9775000214576721,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.8062077760696411},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7518396377563477},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7194444537162781},{"id":"https://openalex.org/keywords/vietnamese","display_name":"Vietnamese","score":0.6615070104598999},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.593054473400116},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5831219553947449},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5302870869636536},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4995691776275635},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4845351576805115},{"id":"https://openalex.org/keywords/fine-tuning","display_name":"Fine-tuning","score":0.4838370382785797},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4466601610183716},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.42161810398101807},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.41871339082717896},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12481385469436646},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08298522233963013}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8062077760696411},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7518396377563477},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7194444537162781},{"id":"https://openalex.org/C103621254","wikidata":"https://www.wikidata.org/wiki/Q9199","display_name":"Vietnamese","level":2,"score":0.6615070104598999},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.593054473400116},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5831219553947449},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5302870869636536},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4995691776275635},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4845351576805115},{"id":"https://openalex.org/C157524613","wikidata":"https://www.wikidata.org/wiki/Q2828883","display_name":"Fine-tuning","level":2,"score":0.4838370382785797},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4466601610183716},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.42161810398101807},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.41871339082717896},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12481385469436646},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08298522233963013},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3591569.3591604","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3591569.3591604","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 8th International Conference on Intelligent Information Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2112504244","https://openalex.org/W2149298154","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2787972108","https://openalex.org/W2915027119","https://openalex.org/W2936823960","https://openalex.org/W2944647671","https://openalex.org/W2963446712","https://openalex.org/W2967871601","https://openalex.org/W2972272278","https://openalex.org/W3115642521","https://openalex.org/W3139135278","https://openalex.org/W3212993326","https://openalex.org/W4210902378","https://openalex.org/W4214940715","https://openalex.org/W4292615389"],"related_works":["https://openalex.org/W2901286616","https://openalex.org/W2291461084","https://openalex.org/W2050882094","https://openalex.org/W3113733647","https://openalex.org/W4206924063","https://openalex.org/W3042674643","https://openalex.org/W1844055093","https://openalex.org/W61780229","https://openalex.org/W2077055222","https://openalex.org/W2565656575"],"abstract_inverted_index":{"In":[0,20,78],"recent":[1],"years,":[2],"the":[3,57,66,75,85,92,97],"Vietnamese":[4],"Herbal":[5],"Medicine":[6],"classification":[7,62],"has":[8,53],"become":[9],"a":[10,88,111],"research":[11],"interdisciplinary":[12],"focus":[13],"in":[14,56],"both":[15],"agriculture":[16],"and":[17,103],"computer":[18],"science.":[19],"order":[21],"to":[22,31,82],"improve":[23],"for":[24,69,110],"this":[25],"task,":[26],"we":[27],"propose":[28],"using":[29],"SVM":[30,104],"classify":[32],"features":[33],"extracted":[34],"from":[35],"fine-tuned":[36],"deep":[37,71],"network":[38],"models":[39,73],"that":[40,65],"have":[41],"already":[42],"been":[43,54],"trained.":[44],"A":[45],"real-life":[46],"experiment":[47],"dataset":[48,113],"of":[49,87,99,108],"herb":[50],"leaf":[51],"images":[52],"collected":[55],"Mekong":[58],"Delta":[59],"area.":[60],"The":[61,101],"results":[63],"show":[64],"fine-tuning":[67,83,90],"strategy":[68],"pre-trained":[70],"learning":[72],"outperforms":[74],"classical":[76],"approach.":[77],"addition,":[79],"when":[80],"compared":[81],"all":[84],"layers":[86,94],"network,":[89],"only":[91],"last":[93],"also":[95],"improves":[96],"accuracy":[98,107],"classification.":[100],"EfficientNetV2S":[102],"give":[105],"an":[106],"99.62%":[109],"real":[112],"with":[114],"28":[115],"classes.":[116]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
