{"id":"https://openalex.org/W4313555326","doi":"https://doi.org/10.1109/access.2023.3234279","title":"Diagnosis of Malaria Using Double Hidden Layer Extreme Learning Machine Algorithm With CNN Feature Extraction and Parasite Inflator","display_name":"Diagnosis of Malaria Using Double Hidden Layer Extreme Learning Machine Algorithm With CNN Feature Extraction and Parasite Inflator","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4313555326","doi":"https://doi.org/10.1109/access.2023.3234279"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3234279","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3234279","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10006828.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10006828.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031154804","display_name":"Md. Omaer Faruq Goni","orcid":"https://orcid.org/0000-0002-4491-4942"},"institutions":[{"id":"https://openalex.org/I17477748","display_name":"Rajshahi University of Engineering and Technology","ror":"https://ror.org/049ysg747","country_code":"BD","type":"education","lineage":["https://openalex.org/I17477748"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Md. Omaer Faruq Goni","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh"],"raw_orcid":"https://orcid.org/0000-0002-4491-4942","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh","institution_ids":["https://openalex.org/I17477748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016630482","display_name":"Md. Nazrul Islam Mondal","orcid":"https://orcid.org/0000-0001-7550-7226"},"institutions":[{"id":"https://openalex.org/I17477748","display_name":"Rajshahi University of Engineering and Technology","ror":"https://ror.org/049ysg747","country_code":"BD","type":"education","lineage":["https://openalex.org/I17477748"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md. Nazrul Islam Mondal","raw_affiliation_strings":["Department of Computer Science and Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh","institution_ids":["https://openalex.org/I17477748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028500163","display_name":"S. M. Riazul Islam","orcid":"https://orcid.org/0000-0003-2968-9561"},"institutions":[{"id":"https://openalex.org/I133837150","display_name":"University of Huddersfield","ror":"https://ror.org/05t1h8f27","country_code":"GB","type":"education","lineage":["https://openalex.org/I133837150"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"S. M. Riazul Islam","raw_affiliation_strings":["Department of Computer Science, University of Huddersfield, Huddersfield, U.K"],"raw_orcid":"https://orcid.org/0000-0003-2968-9561","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Huddersfield, Huddersfield, U.K","institution_ids":["https://openalex.org/I133837150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082978562","display_name":"Md. Nahiduzzaman","orcid":"https://orcid.org/0000-0003-4126-0389"},"institutions":[{"id":"https://openalex.org/I17477748","display_name":"Rajshahi University of Engineering and Technology","ror":"https://ror.org/049ysg747","country_code":"BD","type":"education","lineage":["https://openalex.org/I17477748"]},{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["BD","QA"],"is_corresponding":false,"raw_author_name":"Md. Nahiduzzaman","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh","Department of Electrical Engineering, Qatar University, Doha, Qatar"],"raw_orcid":"https://orcid.org/0000-0003-4126-0389","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh","institution_ids":["https://openalex.org/I17477748"]},{"raw_affiliation_string":"Department of Electrical Engineering, Qatar University, Doha, Qatar","institution_ids":["https://openalex.org/I60342839"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054411351","display_name":"Md. Robiul Islam","orcid":"https://orcid.org/0000-0002-0477-5300"},"institutions":[{"id":"https://openalex.org/I17477748","display_name":"Rajshahi University of Engineering and Technology","ror":"https://ror.org/049ysg747","country_code":"BD","type":"education","lineage":["https://openalex.org/I17477748"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md. Robiul Islam","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh"],"raw_orcid":"https://orcid.org/0000-0001-8330-5421","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh","institution_ids":["https://openalex.org/I17477748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073930974","display_name":"Md. Shamim Anower","orcid":"https://orcid.org/0000-0001-6986-6847"},"institutions":[{"id":"https://openalex.org/I17477748","display_name":"Rajshahi University of Engineering and Technology","ror":"https://ror.org/049ysg747","country_code":"BD","type":"education","lineage":["https://openalex.org/I17477748"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md. Shamim Anower","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh"],"raw_orcid":"https://orcid.org/0000-0001-6986-6847","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh","institution_ids":["https://openalex.org/I17477748"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049374079","display_name":"Kyung Sup Kwak","orcid":"https://orcid.org/0000-0002-9559-4352"},"institutions":[{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyung-Sup Kwak","raw_affiliation_strings":["Department of Information and Communication Engineering, Inha University, Incheon, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-9559-4352","affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, Inha University, Incheon, South Korea","institution_ids":["https://openalex.org/I191879574"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5031154804"],"corresponding_institution_ids":["https://openalex.org/I17477748"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.3772,"has_fulltext":true,"cited_by_count":38,"citation_normalized_percentile":{"value":0.95768479,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"11","issue":null,"first_page":"4117","last_page":"4130"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9998999834060669,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9998999834060669,"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/T10166","display_name":"Mosquito-borne diseases and control","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"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/T12676","display_name":"Machine Learning and ELM","score":0.9882000088691711,"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/extreme-learning-machine","display_name":"Extreme learning machine","score":0.7588765621185303},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7539838552474976},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7466749548912048},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7286566495895386},{"id":"https://openalex.org/keywords/malaria","display_name":"Malaria","score":0.6974104642868042},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.5800724029541016},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5733376145362854},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5144855976104736},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5014338493347168},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4926503300666809},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.48493269085884094},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4790874123573303},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.33317410945892334},{"id":"https://openalex.org/keywords/immunology","display_name":"Immunology","score":0.06376200914382935}],"concepts":[{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.7588765621185303},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7539838552474976},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7466749548912048},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7286566495895386},{"id":"https://openalex.org/C2778048844","wikidata":"https://www.wikidata.org/wiki/Q12156","display_name":"Malaria","level":2,"score":0.6974104642868042},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.5800724029541016},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5733376145362854},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5144855976104736},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5014338493347168},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4926503300666809},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.48493269085884094},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4790874123573303},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.33317410945892334},{"id":"https://openalex.org/C203014093","wikidata":"https://www.wikidata.org/wiki/Q101929","display_name":"Immunology","level":1,"score":0.06376200914382935},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/access.2023.3234279","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3234279","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10006828.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:aura.abdn.ac.uk:2164/22512","is_oa":false,"landing_page_url":"https://hdl.handle.net/2164/22512","pdf_url":null,"source":{"id":"https://openalex.org/S4306400966","display_name":"Aberdeen University Research Archive (Aberdeen University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I195460627","host_organization_name":"University of Aberdeen","host_organization_lineage":["https://openalex.org/I195460627"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal article"},{"id":"pmh:oai:doaj.org/article:74c57a8889474df3b5de77114ef8a5d3","is_oa":true,"landing_page_url":"https://doaj.org/article/74c57a8889474df3b5de77114ef8a5d3","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 4117-4130 (2023)","raw_type":"article"},{"id":"pmh:oai:pure.atira.dk:openaire/d735550d-9cb9-4347-82db-3f135af7c0a9","is_oa":true,"landing_page_url":"https://pure.hud.ac.uk/en/publications/d735550d-9cb9-4347-82db-3f135af7c0a9","pdf_url":null,"source":{"id":"https://openalex.org/S4306402508","display_name":"Huddersfield Research Portal (University of Huddersfield)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I133837150","host_organization_name":"University of Huddersfield","host_organization_lineage":["https://openalex.org/I133837150"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Goni, M O F, Mondal, M N I, Islam, S M R, Nahiduzzaman, M, Islam, M R, Anower, M S & Kwak, K-S 2023, 'Diagnosis of Malaria using Double Hidden Layer Extreme Learning Machine Algorithm with CNN Feature Extraction and Parasite Inflator', IEEE Access, vol. 11, 10006828, pp. 4117-4130. https://doi.org/10.1109/ACCESS.2023.3234279","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pure.atira.dk:publications/d735550d-9cb9-4347-82db-3f135af7c0a9","is_oa":true,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85147200404&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4306402508","display_name":"Huddersfield Research Portal (University of Huddersfield)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I133837150","host_organization_name":"University of Huddersfield","host_organization_lineage":["https://openalex.org/I133837150"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Goni, M O F, Mondal, M N I, Islam, S M R, Nahiduzzaman, M, Islam, M R, Anower, M S & Kwak, K-S 2023, 'Diagnosis of Malaria using Double Hidden Layer Extreme Learning Machine Algorithm with CNN Feature Extraction and Parasite Inflator', IEEE Access, vol. 11, 10006828, pp. 4117-4130. https://doi.org/10.1109/ACCESS.2023.3234279","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3234279","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3234279","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10006828.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5}],"awards":[{"id":"https://openalex.org/G4185418061","display_name":null,"funder_award_id":"NRF-2020R1A2B5B02002478","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"},{"id":"https://openalex.org/G4434410975","display_name":null,"funder_award_id":"NRF-2020R1A2B5B02002478","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G469333981","display_name":null,"funder_award_id":"2020R1A2B5B02002478","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G531398477","display_name":null,"funder_award_id":"NRF-2020R1A2B5B02002478","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G938911115","display_name":null,"funder_award_id":"2020R1A2B5B02002478","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4313555326.pdf","grobid_xml":"https://content.openalex.org/works/W4313555326.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W1189626437","https://openalex.org/W1525510058","https://openalex.org/W1836465849","https://openalex.org/W2005909996","https://openalex.org/W2014429457","https://openalex.org/W2073484159","https://openalex.org/W2077191558","https://openalex.org/W2111072639","https://openalex.org/W2115358736","https://openalex.org/W2141125852","https://openalex.org/W2149691922","https://openalex.org/W2169781650","https://openalex.org/W2194775991","https://openalex.org/W2496667922","https://openalex.org/W2531409750","https://openalex.org/W2576442780","https://openalex.org/W2606416966","https://openalex.org/W2617959447","https://openalex.org/W2752636198","https://openalex.org/W2759921250","https://openalex.org/W2770143282","https://openalex.org/W2775043420","https://openalex.org/W2799742832","https://openalex.org/W2895540242","https://openalex.org/W2903299270","https://openalex.org/W2921840988","https://openalex.org/W2973892008","https://openalex.org/W2975565280","https://openalex.org/W2980664791","https://openalex.org/W3011826951","https://openalex.org/W3017105181","https://openalex.org/W3027051205","https://openalex.org/W3028573817","https://openalex.org/W3034535039","https://openalex.org/W3036871615","https://openalex.org/W3038837241","https://openalex.org/W3040507149","https://openalex.org/W3041038332","https://openalex.org/W3088961722","https://openalex.org/W3101055875","https://openalex.org/W3112485562","https://openalex.org/W3134636986","https://openalex.org/W3137702844","https://openalex.org/W3155415796","https://openalex.org/W3210793542","https://openalex.org/W3211428289","https://openalex.org/W4200263879","https://openalex.org/W4200264704","https://openalex.org/W6602002561","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6639295645","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2067443264","https://openalex.org/W31566076","https://openalex.org/W4297902562","https://openalex.org/W2741186499","https://openalex.org/W2804652951","https://openalex.org/W2968645206","https://openalex.org/W2556335056","https://openalex.org/W2945706271","https://openalex.org/W2535808783","https://openalex.org/W2114169842"],"abstract_inverted_index":{"Malaria,":[0],"a":[1,23,91,97,101,134,170],"life-threatening":[2],"disease":[3],"worldwide,":[4],"can":[5],"be":[6],"diagnosed":[7],"using":[8],"antigen":[9],"tests":[10],"and":[11,20,25,74,94,113,130,180,189,196],"microscopy":[12],"tests.":[13],"However,":[14],"both":[15],"of":[16,36,117,151],"them":[17],"are":[18,41],"erroneous":[19],"time-consuming.":[21],"Therefore,":[22],"trustworthy":[24],"fast":[26],"early":[27],"malaria":[28,56,119,155,165],"prognosis":[29,57],"infrastructure":[30],"is":[31,126,133],"required.":[32],"In":[33,66],"this":[34,67],"age":[35],"machine":[37,63],"learning":[38,62],"(ML),":[39],"there":[40],"several":[42],"ML-based":[43],"methods":[44,218],"to":[45,99,110,163,178,216],"do":[46],"the":[47,118,127,131,148,152,158,193,197,202,221],"task.":[48],"This":[49],"paper":[50],"proposes":[51],"an":[52,60],"unorthodox":[53],"method":[54,185],"for":[55,192],"based":[58],"on":[59,173],"extreme":[61],"(ELM)":[64],"algorithm.":[65],"regard,":[68],"Convolutional":[69],"Neural":[70],"Networks":[71],"(CNN),":[72],"ELM,":[73],"double":[75],"hidden":[76],"layer":[77],"(DELM)":[78],"have":[79,107,122,140],"been":[80,88,108,123,141],"used":[81,89,109],"as":[82,90,96,147],"classifiers.":[83],"A":[84],"CNN":[85,179],"model":[86,205],"has":[87,168,186,206],"feature":[92],"extractor":[93],"also":[95,207],"classifier":[98],"perform":[100],"comparative":[102],"study.":[103],"The":[104,143,182],"derived":[105],"features":[106],"train":[111],"ELM":[112],"DELM.":[114],"Two":[115],"versions":[116],"image":[120],"dataset":[121,136],"used:":[124],"one":[125],"original":[128,194],"dataset,":[129],"other":[132,217],"modified":[135,198],"where":[137],"ambiguous":[138],"samples":[139],"removed.":[142],"parasite":[144],"inflator":[145],"acts":[146],"shape":[149],"increaser":[150],"small,":[153],"darker":[154],"parasites":[156],"in":[157,161,220,226],"RBC":[159],"images":[160],"order":[162],"detect":[164],"easily.":[166],"CNN-DELM":[167,184,204],"achieved":[169,187],"sanguine":[171],"result":[172],"every":[174],"performance":[175],"standard":[176],"compared":[177,215],"CNN-ELM.":[181],"proposed":[183,203,219],"97.79%":[188],"99.66%":[190],"accuracy":[191],"version":[195],"version,":[199],"respectively.":[200],"Hence,":[201],"produced":[208],"either":[209],"comparable":[210],"or":[211],"better":[212],"results":[213],"when":[214],"literature,":[222],"showing":[223],"its":[224],"robustness":[225],"detecting":[227],"malaria.":[228]},"counts_by_year":[{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":4}],"updated_date":"2026-05-08T15:41:06.802602","created_date":"2025-10-10T00:00:00"}