{"id":"https://openalex.org/W4388937277","doi":"https://doi.org/10.1109/icccnt56998.2023.10307315","title":"A Deep Learning Based Poisonous Frog Detection System","display_name":"A Deep Learning Based Poisonous Frog Detection System","publication_year":2023,"publication_date":"2023-07-06","ids":{"openalex":"https://openalex.org/W4388937277","doi":"https://doi.org/10.1109/icccnt56998.2023.10307315"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt56998.2023.10307315","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt56998.2023.10307315","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5077515398","display_name":"Mushrat Jahan","orcid":null},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Mushrat Jahan","raw_affiliation_strings":["Daffodil International University,Department of CSE,Dhaka,Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Daffodil International University,Department of CSE,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093324000","display_name":"Ismot Jahan Samia","orcid":null},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Ismot Jahan Samia","raw_affiliation_strings":["Daffodil International University,Department of CSE,Dhaka,Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Daffodil International University,Department of CSE,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093324001","display_name":"Saima Binta Younus","orcid":null},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Saima Binta Younus","raw_affiliation_strings":["Daffodil International University,Department of CSE,Dhaka,Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Daffodil International University,Department of CSE,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042030319","display_name":"Md. Azizul Hakim","orcid":"https://orcid.org/0009-0003-4999-1212"},"institutions":[{"id":"https://openalex.org/I134113660","display_name":"University of Nevada, Reno","ror":"https://ror.org/01keh0577","country_code":"US","type":"education","lineage":["https://openalex.org/I134113660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md. Azizul Hakim","raw_affiliation_strings":["University of Nevada,Department of CSE,Reno,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Nevada,Department of CSE,Reno,USA","institution_ids":["https://openalex.org/I134113660"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9388999938964844,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9388999938964844,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T10699","display_name":"Primate Behavior and Ecology","score":0.9279000163078308,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/confusion","display_name":"Confusion","score":0.803429365158081},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6772065758705139},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6654256582260132},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6645662784576416},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6286850571632385},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5506941676139832},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5035871863365173},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08957543969154358}],"concepts":[{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.803429365158081},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6772065758705139},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6654256582260132},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6645662784576416},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6286850571632385},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5506941676139832},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5035871863365173},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08957543969154358},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt56998.2023.10307315","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt56998.2023.10307315","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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":18,"referenced_works":["https://openalex.org/W1500889421","https://openalex.org/W1696827118","https://openalex.org/W1980927318","https://openalex.org/W2330407845","https://openalex.org/W2470231114","https://openalex.org/W2624334216","https://openalex.org/W2758893285","https://openalex.org/W2770103218","https://openalex.org/W2805240330","https://openalex.org/W2902114955","https://openalex.org/W2941041978","https://openalex.org/W2943036395","https://openalex.org/W3011154745","https://openalex.org/W3177067293","https://openalex.org/W3182030130","https://openalex.org/W3199992936","https://openalex.org/W4281493584","https://openalex.org/W4313022399"],"related_works":["https://openalex.org/W2964976023","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3167935049","https://openalex.org/W3103566983","https://openalex.org/W3029198973","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Frog":[0],"species":[1],"across":[2],"the":[3,11,38,58,96,104,124,130],"world":[4],"are":[5,15],"vulnerable":[6],"and":[7,32,53,64,139,146],"in":[8,67,92,106],"decline,":[9],"despite":[10],"fact":[12],"that":[13,48,122,148],"frogs":[14],"an":[16,41,134],"integral":[17],"part":[18],"of":[19,40,60],"biological":[20],"systems.":[21],"Within":[22],"this":[23,72],"enchanting":[24],"world,":[25],"we":[26,74,100,112,142],"encounter":[27],"two":[28],"intriguing":[29],"groups:":[30],"non-poisonous":[31,54],"poisonous":[33],"frogs.":[34],"This":[35],"phenomenon":[36],"prompts":[37],"development":[39,59],"automated":[42],"computer":[43],"vision-based":[44],"frog":[45,82],"detection":[46],"system":[47],"can":[49],"distinguish":[50],"between":[51],"deadly":[52],"frogs,":[55],"leading":[56],"to":[57,90,94],"early":[61],"treatment":[62],"methods":[63],"a":[65,76],"reduction":[66],"relative":[68],"economic":[69],"loss.":[70],"In":[71,109],"study,":[73],"present":[75],"convolutional":[77],"neural":[78],"network-based":[79],"technique":[80],"for":[81,126],"detection.":[83],"The":[84],"CNN":[85],"model":[86,125],"required":[87],"numerous":[88],"epochs":[89,128],"run":[91],"order":[93],"provide":[95],"best":[97],"result.":[98],"However,":[99],"must":[101],"also":[102],"consider":[103],"trade-off":[105],"convergence":[107],"speed.":[108],"our":[110,119],"exploration,":[111],"conducted":[113],"experiments":[114],"with":[115],"different":[116],"epochs.":[117],"Interestingly,":[118],"findings":[120],"revealed":[121],"running":[123],"30":[127],"yielded":[129,150],"highest":[131],"accuracy,":[132],"reaching":[133],"impressive":[135],"90.83%.":[136],"Through":[137],"rigorous":[138],"thorough":[140],"experimentation,":[141],"evaluated":[143],"confusion":[144],"metrics":[145],"discovered":[147],"they":[149],"exceptional":[151],"results.":[152]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
