{"id":"https://openalex.org/W2107224178","doi":null,"title":"Blood Cell Identification Using Emotional Neural Networks","display_name":"Blood Cell Identification Using Emotional Neural Networks","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2107224178","mag":"2107224178"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.528.6214","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.528.6214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.iis.sinica.edu.tw/page/jise/2009/200911_06.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5048827541","display_name":"Adnan Khashman","orcid":"https://orcid.org/0000-0002-8344-6643","observed_orcids":["https://orcid.org/0000-0002-8344-6643"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Adnan Khashman","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-8344-6643","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5048827541"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3181,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.82197484,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":99},"biblio":{"volume":"25","issue":"6","first_page":"1737","last_page":"1751"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.6553000211715698,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.6553000211715698,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.05829999968409538,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.053300000727176666,"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/blood-cell-classification","display_name":"blood cell classification","score":0.7950000166893005},{"id":"https://openalex.org/keywords/artificial-emotions","display_name":"artificial emotions","score":0.699999988079071},{"id":"https://openalex.org/keywords/neural-network-learning-algorithms","display_name":"neural network learning algorithms","score":0.5860000252723694},{"id":"https://openalex.org/keywords/classification-accuracy","display_name":"classification accuracy","score":0.367000013589859}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8456249237060547},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7080941200256348},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7009859681129456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6254289150238037},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5936288237571716},{"id":"https://openalex.org/C3018888245","wikidata":"https://www.wikidata.org/wiki/Q9415","display_name":"Emotional behavior","level":2,"score":0.5620248317718506},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.4505482316017151},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10855650901794434},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.528.6214","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.528.6214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.iis.sinica.edu.tw/page/jise/2009/200911_06.pdf","raw_type":"text"},{"id":"mag:2107224178","doi":null,"is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/journals/jise/jise25.html#Khashman09","pdf_url":null,"source":{"id":"https://openalex.org/S106179100","display_name":"Journal of information science and engineering","issn_l":"1016-2364","issn":["1016-2364"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","norway-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4324277498","host_organization_name":"Institute of Information Science","host_organization_lineage":["https://openalex.org/P4324277498"],"host_organization_lineage_names":["Institute of Information Science"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of information science and engineering","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":37,"referenced_works":["https://openalex.org/W1538667478","https://openalex.org/W1559672525","https://openalex.org/W1570669466","https://openalex.org/W1605337581","https://openalex.org/W1976860900","https://openalex.org/W1979163107","https://openalex.org/W1981744340","https://openalex.org/W1988011557","https://openalex.org/W1993584577","https://openalex.org/W1993858167","https://openalex.org/W2003457521","https://openalex.org/W2027859116","https://openalex.org/W2031262047","https://openalex.org/W2050462937","https://openalex.org/W2068876334","https://openalex.org/W2069809838","https://openalex.org/W2075565188","https://openalex.org/W2085652821","https://openalex.org/W2090536476","https://openalex.org/W2095727708","https://openalex.org/W2106700140","https://openalex.org/W2111824118","https://openalex.org/W2112678743","https://openalex.org/W2115710989","https://openalex.org/W2117333179","https://openalex.org/W2117671438","https://openalex.org/W2118680033","https://openalex.org/W2119107075","https://openalex.org/W2119368976","https://openalex.org/W2122028542","https://openalex.org/W2130804843","https://openalex.org/W2153630421","https://openalex.org/W2170906635","https://openalex.org/W2339343773","https://openalex.org/W2486546491","https://openalex.org/W2766736793","https://openalex.org/W2917451309"],"related_works":["https://openalex.org/W2122652750","https://openalex.org/W2396705723","https://openalex.org/W1997267722","https://openalex.org/W2119368976","https://openalex.org/W2091474959","https://openalex.org/W2129381706","https://openalex.org/W1986781615","https://openalex.org/W2298121658","https://openalex.org/W139509533","https://openalex.org/W6941115368"],"abstract_inverted_index":{"The":[0,79,96],"idea":[1,15],"of":[2,16,98],"machines":[3,17,30],"having":[4],"emotions":[5,56],"sounds":[6],"like":[7,22],"science":[8],"fiction,":[9,23],"however,":[10,47],"few":[11],"decades":[12],"ago":[13],"the":[14,38,72,99,129,136,142],"with":[18,31],"intelligence":[19],"seemed":[20],"also":[21],"but":[24],"today":[25],"we":[26],"are":[27,92],"developing":[28],"intelligent":[29],"successful":[32],"applications.":[33],"We":[34],"have":[35],"always":[36],"over-looked":[37],"emotional":[39,64,73,82,86,131],"factors":[40],"during":[41,94],"machine":[42,58],"learning":[43,77],"and":[44,84,89,101,133],"decision":[45],"making;":[46],"it":[48],"is":[49,69],"quite":[50],"conceivable":[51],"to":[52,118],"artificially":[53],"model":[54],"certain":[55],"in":[57],"learning.":[59,95],"This":[60],"paper":[61],"presents":[62],"an":[63],"neural":[65,105],"network":[66],"(EmNN)":[67],"that":[68,128],"based":[70],"on":[71],"back":[74],"propagation":[75],"(EmBP)":[76],"algorithm.":[78],"EmNN":[80,100],"has":[81],"weights":[83,134],"two":[85,108],"parameters;":[87],"anxiety":[88],"confidence,":[90],"which":[91],"updated":[93],"performances":[97],"a":[102,119],"conventional":[103],"BP-based":[104],"network,":[106,112],"using":[107],"to-pologies":[109],"for":[110],"each":[111],"will":[113],"be":[114],"compared":[115],"when":[116],"applied":[117],"blood":[120],"cell":[121],"type":[122],"identifica-tion":[123],"problem.":[124],"Experimental":[125],"results":[126],"show":[127],"additional":[130],"parameters":[132],"improved":[135],"identification":[137],"rate":[138],"as":[139,141],"well":[140],"classification":[143],"time.":[144]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-06-24T00:00:00"}
