{"id":"https://openalex.org/W2786849853","doi":"https://doi.org/10.1109/iccsce.2017.8284433","title":"Contrast virus microscopy images recognition via k-NN classifiers","display_name":"Contrast virus microscopy images recognition via k-NN classifiers","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2786849853","doi":"https://doi.org/10.1109/iccsce.2017.8284433","mag":"2786849853"},"language":"en","primary_location":{"id":"doi:10.1109/iccsce.2017.8284433","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccsce.2017.8284433","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 7th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","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/A5016706893","display_name":"Afiq Ahmad Shakri","orcid":null},"institutions":[{"id":"https://openalex.org/I65079550","display_name":"Universiti Malaysia Perlis","ror":"https://ror.org/00xmkb790","country_code":"MY","type":"education","lineage":["https://openalex.org/I65079550"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Afiq Ahmad Shakri","raw_affiliation_strings":["Faculty of Engineering Technology, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering Technology, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia","institution_ids":["https://openalex.org/I65079550"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091415648","display_name":"Syahrul Affandi Saidi","orcid":"https://orcid.org/0009-0002-2410-0906"},"institutions":[{"id":"https://openalex.org/I65079550","display_name":"Universiti Malaysia Perlis","ror":"https://ror.org/00xmkb790","country_code":"MY","type":"education","lineage":["https://openalex.org/I65079550"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Syahrul Affandi Saidi","raw_affiliation_strings":["Faculty of Engineering Technology, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering Technology, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia","institution_ids":["https://openalex.org/I65079550"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055143497","display_name":"Muhammad Naufal Mansor","orcid":null},"institutions":[{"id":"https://openalex.org/I65079550","display_name":"Universiti Malaysia Perlis","ror":"https://ror.org/00xmkb790","country_code":"MY","type":"education","lineage":["https://openalex.org/I65079550"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Muhammad Naufal Mansor","raw_affiliation_strings":["Faculty of Engineering Technology, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering Technology, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia","institution_ids":["https://openalex.org/I65079550"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110447983","display_name":"Haryati Jaafar","orcid":null},"institutions":[{"id":"https://openalex.org/I65079550","display_name":"Universiti Malaysia Perlis","ror":"https://ror.org/00xmkb790","country_code":"MY","type":"education","lineage":["https://openalex.org/I65079550"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Haryati Jaafar","raw_affiliation_strings":["Institute of Engineering Mathematics (IMK), University Malaysia Perlis, Arau, Perlis"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Engineering Mathematics (IMK), University Malaysia Perlis, Arau, Perlis","institution_ids":["https://openalex.org/I65079550"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079643825","display_name":"Ahmad Kadri Junoh","orcid":"https://orcid.org/0000-0002-7705-4707"},"institutions":[{"id":"https://openalex.org/I65079550","display_name":"Universiti Malaysia Perlis","ror":"https://ror.org/00xmkb790","country_code":"MY","type":"education","lineage":["https://openalex.org/I65079550"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Ahmad Kadri Junoh","raw_affiliation_strings":["Faculty of Engineering Technology, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering Technology, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia","institution_ids":["https://openalex.org/I65079550"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009213904","display_name":"Wan Azani Mustafa","orcid":"https://orcid.org/0000-0001-7260-6085"},"institutions":[{"id":"https://openalex.org/I65079550","display_name":"Universiti Malaysia Perlis","ror":"https://ror.org/00xmkb790","country_code":"MY","type":"education","lineage":["https://openalex.org/I65079550"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Wan Azani Mustafa","raw_affiliation_strings":["Faculty of Engineering Technology, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering Technology, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia","institution_ids":["https://openalex.org/I65079550"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I65079550"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.28291669,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"40","issue":null,"first_page":"352","last_page":"355"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9801999926567078,"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/preprocessor","display_name":"Preprocessor","score":0.8153024315834045},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8113311529159546},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.740367591381073},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6876696944236755},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6702715158462524},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6012135744094849},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5407893657684326},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5106492638587952},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.49049919843673706},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4844391644001007},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4453073740005493},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4328828752040863},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23550787568092346}],"concepts":[{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.8153024315834045},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8113311529159546},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.740367591381073},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6876696944236755},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6702715158462524},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6012135744094849},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5407893657684326},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5106492638587952},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.49049919843673706},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4844391644001007},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4453073740005493},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4328828752040863},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23550787568092346},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccsce.2017.8284433","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccsce.2017.8284433","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 7th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321709","display_name":"Ministry of Higher Education, Malaysia","ror":"https://ror.org/05mcs2t73"},{"id":"https://openalex.org/F4320322820","display_name":"Universiti Malaysia Perlis","ror":"https://ror.org/00xmkb790"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1493775511","https://openalex.org/W2040895929","https://openalex.org/W2080922998","https://openalex.org/W2091575950","https://openalex.org/W2092022777","https://openalex.org/W2122374500","https://openalex.org/W2134262590","https://openalex.org/W2136922672","https://openalex.org/W2137255856","https://openalex.org/W2137263041","https://openalex.org/W2163981854","https://openalex.org/W2171287186","https://openalex.org/W2315269201","https://openalex.org/W2494456665","https://openalex.org/W2573235949","https://openalex.org/W4289255420","https://openalex.org/W6723252730"],"related_works":["https://openalex.org/W2397288865","https://openalex.org/W2368524271","https://openalex.org/W2576709312","https://openalex.org/W2079402751","https://openalex.org/W2392797073","https://openalex.org/W2989490741","https://openalex.org/W2095030957","https://openalex.org/W2066827917","https://openalex.org/W1968695676","https://openalex.org/W2971551846"],"abstract_inverted_index":{"One":[0],"of":[1,9,50,65,82,90],"the":[2,48,74],"topics":[3],"that":[4,22,73],"are":[5,77],"commonly":[6],"in":[7],"focus":[8],"object":[10],"detection":[11],"and":[12,25,33,80],"image":[13],"recognition":[14],"is":[15,19],"virus":[16,27],"detection.":[17],"It":[18],"well":[20],"known":[21],"to":[23,29,92],"learn":[24],"detecting":[26],"proven":[28],"be":[30],"a":[31,87],"challenging":[32],"quite":[34],"complex":[35],"task":[36],"for":[37,94],"computer":[38],"systems":[39],"under":[40,62],"different":[41],"noise":[42],"level.":[43],"This":[44],"research":[45],"work":[46],"investigates":[47],"performances":[49],"preprocessing":[51],"stages":[52],"with":[53,57],"Contrast":[54],"feature":[55],"extraction":[56],"K-Nearest":[58],"Neighbor":[59],"(KNN)":[60],"classifier":[61],"various":[63],"levels":[64],"noise.":[66],"The":[67],"real":[68],"time":[69],"experiment":[70],"conducted":[71],"proved":[72],"proposed":[75],"method":[76],"efficient,":[78],"robust,":[79],"excellent":[81],"which":[83],"it":[84],"has":[85],"produced":[86],"results":[88],"accuracy":[89],"up":[91],"88%":[93],"biological":[95],"viruses":[96],"images":[97],"classification.":[98]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}