{"id":"https://openalex.org/W3089347668","doi":"https://doi.org/10.1109/worlds450073.2020.9210259","title":"PakhiChini: Automatic Bird Species Identification Using Deep Learning","display_name":"PakhiChini: Automatic Bird Species Identification Using Deep Learning","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3089347668","doi":"https://doi.org/10.1109/worlds450073.2020.9210259","mag":"3089347668"},"language":"en","primary_location":{"id":"doi:10.1109/worlds450073.2020.9210259","doi":"https://doi.org/10.1109/worlds450073.2020.9210259","is_oa":false,"landing_page_url":"https://doi.org/10.1109/worlds450073.2020.9210259","pdf_url":null,"source":{"id":"https://openalex.org/S4306498648","display_name":"World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5023459355","display_name":"Kazi Md Ragib","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I157386601","display_name":"North South University","ror":"https://ror.org/05wdbfp45","country_code":"BD","type":"education","lineage":["https://openalex.org/I157386601"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Kazi Md Ragib","raw_affiliation_strings":["North South University, Dhaka, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North South University, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I157386601"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061829504","display_name":"Shithi Raisa Taraman","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I157386601","display_name":"North South University","ror":"https://ror.org/05wdbfp45","country_code":"BD","type":"education","lineage":["https://openalex.org/I157386601"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Raisa Taraman Shithi","raw_affiliation_strings":["North South University, Dhaka, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North South University, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I157386601"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050633135","display_name":"Shihab Ali Haq","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I157386601","display_name":"North South University","ror":"https://ror.org/05wdbfp45","country_code":"BD","type":"education","lineage":["https://openalex.org/I157386601"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Shihab Ali Haq","raw_affiliation_strings":["North South University, Dhaka, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North South University, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I157386601"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100606591","display_name":"Md. Mehedi Hasan","orcid":"https://orcid.org/0000-0001-5265-1751","observed_orcids":["https://orcid.org/0000-0001-5265-1751","https://orcid.org/0000-0001-6842-4449"]},"institutions":[{"id":"https://openalex.org/I157386601","display_name":"North South University","ror":"https://ror.org/05wdbfp45","country_code":"BD","type":"education","lineage":["https://openalex.org/I157386601"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md Hasan","raw_affiliation_strings":["North South University, Dhaka, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North South University, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I157386601"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012660695","display_name":"Kazi Mohammed Sakib","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I157386601","display_name":"North South University","ror":"https://ror.org/05wdbfp45","country_code":"BD","type":"education","lineage":["https://openalex.org/I157386601"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Kazi Mohammed Sakib","raw_affiliation_strings":["North South University, Dhaka, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North South University, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I157386601"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018816203","display_name":"Tanjila Farah","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I157386601","display_name":"North South University","ror":"https://ror.org/05wdbfp45","country_code":"BD","type":"education","lineage":["https://openalex.org/I157386601"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Tanjila Farah","raw_affiliation_strings":["North South University, Dhaka, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North South University, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I157386601"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157386601"],"apc_list":null,"apc_paid":null,"fwci":1.7016,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.89562874,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"2020","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.989300012588501,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.989300012588501,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.007899999618530273,"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"}},{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.0007999999797903001,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bird-identification","display_name":"bird identification","score":0.9900000095367432},{"id":"https://openalex.org/keywords/bird-image-classification","display_name":"bird image classification","score":0.777999997138977},{"id":"https://openalex.org/keywords/transfer-learning","display_name":"transfer learning","score":0.8600000143051147},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.9430000185966492},{"id":"https://openalex.org/keywords/image-recognition","display_name":"image recognition","score":0.3440000116825104}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8287246227264404},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.8094326853752136},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7980321645736694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7660306692123413},{"id":"https://openalex.org/C2944601119","wikidata":"https://www.wikidata.org/wiki/Q43744058","display_name":"Residual neural network","level":3,"score":0.7183849215507507},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6655735969543457},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5263090133666992},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5164375901222229},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4716343581676483},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.424039751291275},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3888136148452759},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/worlds450073.2020.9210259","doi":"https://doi.org/10.1109/worlds450073.2020.9210259","is_oa":false,"landing_page_url":"https://doi.org/10.1109/worlds450073.2020.9210259","pdf_url":null,"source":{"id":"https://openalex.org/S4306498648","display_name":"World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4)","raw_type":"proceedings-article"},{"id":"mag:3205502766","doi":null,"is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002246082354829","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1616462885","https://openalex.org/W1686810756","https://openalex.org/W1954152232","https://openalex.org/W1982025193","https://openalex.org/W2019432531","https://openalex.org/W2115326869","https://openalex.org/W2122979854","https://openalex.org/W2129281970","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2553910756","https://openalex.org/W2576656823","https://openalex.org/W2680737492","https://openalex.org/W2750981090","https://openalex.org/W2751362415","https://openalex.org/W2883677709","https://openalex.org/W2897539316","https://openalex.org/W2963495494","https://openalex.org/W2974499829"],"related_works":["https://openalex.org/W4362570955","https://openalex.org/W4414844966","https://openalex.org/W4408863452","https://openalex.org/W4361802030","https://openalex.org/W4360982891","https://openalex.org/W4285148561","https://openalex.org/W7220569682","https://openalex.org/W3157999629","https://openalex.org/W7125489174","https://openalex.org/W4367459401"],"abstract_inverted_index":{"The":[0],"sector":[1],"of":[2,27,63,109,118,133],"entire":[3],"image":[4],"classification":[5],"has":[6],"recently":[7],"found":[8,93],"outstanding":[9],"accomplishment":[10],"in":[11,44,94,100],"Convolutaional":[12],"Neural":[13,19],"Network.":[14],"Lately,":[15],"leveraging":[16],"pretrained":[17,37,48,76,80],"Convolutional":[18],"Networks":[20],"(CNN)":[21],"offer":[22],"a":[23,56,130],"much":[24],"better":[25],"illustration":[26],"an":[28,68],"input":[29,69],"image.":[30,70],"ResNet":[31,77],"[1]":[32],"is":[33,41,61],"one":[34],"the":[35,88,116],"top":[36],"CNN":[38,49,81],"networks":[39,82],"that":[40,60],"mostly":[42],"used":[43],"deep":[45,57],"learning":[46,58],"as":[47,79],"model.":[50],"In":[51],"this":[52],"paper,":[53],"we":[54],"propose":[55],"model":[59,78,85],"capable":[62],"identifying":[64],"individual":[65],"birds":[66,91],"from":[67,106],"We":[71,128],"tend":[72],"to":[73,86,124],"additionally":[74],"leverage":[75],"with":[83],"base":[84],"encode":[87],"images.":[89],"Usually,":[90],"are":[92,98],"diverse":[95],"scenarios":[96],"which":[97],"seen":[99],"different":[101,119],"sizes,":[102,104],"shapes,":[103],"colors":[105],"human":[107],"point":[108],"view.":[110],"Conducted":[111],"experiments":[112],"will":[113],"be":[114],"using":[115],"entity":[117],"dimensions,":[120],"cast":[121],"and":[122],"celerity":[123],"study":[125],"recognition":[126],"performance.":[127],"achieved":[129],"top-5":[131],"accuracy":[132],"97.98%":[134],"on":[135],"our":[136],"classifications.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2020-10-08T00:00:00"}
