{"id":"https://openalex.org/W2036896231","doi":"https://doi.org/10.1109/iccsce.2013.6720007","title":"Phase congruency image and sparse classifier for newborn classifying pain state","display_name":"Phase congruency image and sparse classifier for newborn classifying pain state","publication_year":2013,"publication_date":"2013-11-01","ids":{"openalex":"https://openalex.org/W2036896231","doi":"https://doi.org/10.1109/iccsce.2013.6720007","mag":"2036896231"},"language":"en","primary_location":{"id":"doi:10.1109/iccsce.2013.6720007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccsce.2013.6720007","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Control System, Computing and Engineering","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/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":["School of Mehatronic Engineering, Universiti Malaysia Perlis, Perlis, Malaysia","Sch. of Mehatronic Eng., Univ. Malaysia Perlis, Arau, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mehatronic Engineering, Universiti Malaysia Perlis, Perlis, Malaysia","institution_ids":["https://openalex.org/I65079550"]},{"raw_affiliation_string":"Sch. of Mehatronic Eng., Univ. Malaysia Perlis, Arau, Malaysia","institution_ids":["https://openalex.org/I65079550"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061753581","display_name":"Muhammad Nazri Rejab","orcid":"https://orcid.org/0000-0002-9650-0784"},"institutions":[{"id":"https://openalex.org/I4210130047","display_name":"Politeknik Tuanku Syed Sirajuddin","ror":"https://ror.org/03rj87919","country_code":"MY","type":"education","lineage":["https://openalex.org/I4210130047"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Mohd Nazri Rejab","raw_affiliation_strings":["Department of Mechanical, Politeknik Tuanku Syed Sirajuddin, Perlis, Malaysia","Dept. of Mech., Politek. Tuanku Syed Sirajuddin, Arau, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical, Politeknik Tuanku Syed Sirajuddin, Perlis, Malaysia","institution_ids":["https://openalex.org/I4210130047"]},{"raw_affiliation_string":"Dept. of Mech., Politek. Tuanku Syed Sirajuddin, Arau, Malaysia","institution_ids":["https://openalex.org/I4210130047"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.10062338,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"450","last_page":"454"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11292","display_name":"Pediatric Pain Management Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"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/T11292","display_name":"Pediatric Pain Management Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child 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/T13289","display_name":"Infant Health and Development","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3611","display_name":"Pharmacy"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11184","display_name":"Neonatal and fetal brain pathology","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6972994208335876},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6219616532325745},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.619342029094696},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.5735503435134888},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5665481090545654},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5361862778663635},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5019094944000244},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4631035029888153},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3722529113292694},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34558266401290894},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.15176573395729065},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.08585000038146973}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6972994208335876},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6219616532325745},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.619342029094696},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.5735503435134888},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5665481090545654},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5361862778663635},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5019094944000244},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4631035029888153},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3722529113292694},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34558266401290894},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.15176573395729065},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.08585000038146973}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccsce.2013.6720007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccsce.2013.6720007","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Control System, Computing and Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W94937181","https://openalex.org/W124408761","https://openalex.org/W1533162639","https://openalex.org/W1545641654","https://openalex.org/W1554258465","https://openalex.org/W1566407967","https://openalex.org/W1869908504","https://openalex.org/W1962010357","https://openalex.org/W1978011637","https://openalex.org/W1989803413","https://openalex.org/W1994458317","https://openalex.org/W2017422474","https://openalex.org/W2039051707","https://openalex.org/W2048973207","https://openalex.org/W2049073164","https://openalex.org/W2049730379","https://openalex.org/W2051725640","https://openalex.org/W2066642295","https://openalex.org/W2128776923","https://openalex.org/W2143771573","https://openalex.org/W2148548654","https://openalex.org/W2150862990","https://openalex.org/W2169239671","https://openalex.org/W2396049776","https://openalex.org/W4301204483","https://openalex.org/W6603878980","https://openalex.org/W6604994140","https://openalex.org/W6631957473","https://openalex.org/W6640974819","https://openalex.org/W6679297202","https://openalex.org/W6845086640"],"related_works":["https://openalex.org/W2055219403","https://openalex.org/W2791313072","https://openalex.org/W3166997759","https://openalex.org/W2794489335","https://openalex.org/W2080437822","https://openalex.org/W2153027217","https://openalex.org/W1999808563","https://openalex.org/W2005234362","https://openalex.org/W2162970382","https://openalex.org/W1997235926"],"abstract_inverted_index":{"Most":[0],"of":[1,45],"infant":[2,19,46],"pain":[3,20,47],"cause":[4],"changes":[5],"in":[6],"the":[7,15,43],"face.":[8],"Clinicians":[9],"use":[10],"image":[11,51],"analysis":[12],"to":[13,26],"characterize":[14],"pathological":[16],"faces.":[17],"Nowadays,":[18],"research":[21],"is":[22],"increasing":[23],"dramatically":[24],"due":[25],"high":[27],"demand":[28],"from":[29],"all":[30],"medical":[31],"team.":[32],"This":[33],"paper":[34],"presents":[35],"a":[36],"sparse":[37],"and":[38,52],"na\u00efve":[39],"Bayes":[40],"classifier":[41],"for":[42],"diagnosis":[44],"disorders.":[48],"Phase":[49],"congruency":[50],"local":[53],"binary":[54],"pattern":[55],"are":[56],"proposed.":[57],"The":[58],"proposed":[59],"algorithms":[60],"provide":[61],"very":[62],"promising":[63],"classification":[64],"rate.":[65]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}