{"id":"https://openalex.org/W4411406662","doi":"https://doi.org/10.1109/access.2025.3581065","title":"Assessment of Scientific Creative-Potential by Near-Infrared Spectroscopy Using Brain-Network-Based Deep-Fuzzy Classifier","display_name":"Assessment of Scientific Creative-Potential by Near-Infrared Spectroscopy Using Brain-Network-Based Deep-Fuzzy Classifier","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4411406662","doi":"https://doi.org/10.1109/access.2025.3581065"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3581065","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3581065","pdf_url":null,"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://doi.org/10.1109/access.2025.3581065","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103916806","display_name":"Sayantani Ghosh","orcid":"https://orcid.org/0000-0002-3156-9772"},"institutions":[{"id":"https://openalex.org/I170979836","display_name":"Jadavpur University","ror":"https://ror.org/02af4h012","country_code":"IN","type":"education","lineage":["https://openalex.org/I170979836"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sayantani Ghosh","raw_affiliation_strings":["Department of Electronics and Tele-Communication Engineering, Artificial Intelligence Laboratory, Jadavpur University, Kolkata, India","Department of Electronics and Tele-Communication Engineering, Artifcial Intelligence Laboratory, Jadavpur University, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Tele-Communication Engineering, Artificial Intelligence Laboratory, Jadavpur University, Kolkata, India","institution_ids":["https://openalex.org/I170979836"]},{"raw_affiliation_string":"Department of Electronics and Tele-Communication Engineering, Artifcial Intelligence Laboratory, Jadavpur University, Kolkata, India","institution_ids":["https://openalex.org/I170979836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011939964","display_name":"Amit Konar","orcid":"https://orcid.org/0000-0002-9474-5956"},"institutions":[{"id":"https://openalex.org/I170979836","display_name":"Jadavpur University","ror":"https://ror.org/02af4h012","country_code":"IN","type":"education","lineage":["https://openalex.org/I170979836"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Amit Konar","raw_affiliation_strings":["Department of Electronics and Tele-Communication Engineering, Artificial Intelligence Laboratory, Jadavpur University, Kolkata, India","Department of Electronics and Tele-Communication Engineering, Artifcial Intelligence Laboratory, Jadavpur University, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Tele-Communication Engineering, Artificial Intelligence Laboratory, Jadavpur University, Kolkata, India","institution_ids":["https://openalex.org/I170979836"]},{"raw_affiliation_string":"Department of Electronics and Tele-Communication Engineering, Artifcial Intelligence Laboratory, Jadavpur University, Kolkata, India","institution_ids":["https://openalex.org/I170979836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081696143","display_name":"Atulya K. Nagar","orcid":"https://orcid.org/0000-0001-5549-6435"},"institutions":[{"id":"https://openalex.org/I44852757","display_name":"Liverpool Hope University","ror":"https://ror.org/03ctjbj91","country_code":"GB","type":"education","lineage":["https://openalex.org/I44852757"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Atulya K. Nagar","raw_affiliation_strings":["Department of Math and Computer Science, Liverpool Hope University, Liverpool, U.K","Department of Math and Computer Science, Liverpool Hope University, Liverpool, UK"],"affiliations":[{"raw_affiliation_string":"Department of Math and Computer Science, Liverpool Hope University, Liverpool, U.K","institution_ids":["https://openalex.org/I44852757"]},{"raw_affiliation_string":"Department of Math and Computer Science, Liverpool Hope University, Liverpool, UK","institution_ids":["https://openalex.org/I44852757"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103916806"],"corresponding_institution_ids":["https://openalex.org/I170979836"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":5.6828,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.95618793,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"13","issue":null,"first_page":"108533","last_page":"108550"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12260","display_name":"Educational Technology and Pedagogy","score":0.4194999933242798,"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/T12260","display_name":"Educational Technology and Pedagogy","score":0.4194999933242798,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.4083000123500824,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14413","display_name":"Advanced Technologies in Various Fields","score":0.3619999885559082,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.5972450375556946},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5733476281166077},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5264647603034973},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.47788894176483154},{"id":"https://openalex.org/keywords/infrared-spectroscopy","display_name":"Infrared spectroscopy","score":0.4380718767642975},{"id":"https://openalex.org/keywords/spectroscopy","display_name":"Spectroscopy","score":0.42769479751586914},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4002090096473694},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37552934885025024},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15128600597381592}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5972450375556946},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5733476281166077},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5264647603034973},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.47788894176483154},{"id":"https://openalex.org/C153642686","wikidata":"https://www.wikidata.org/wiki/Q70906","display_name":"Infrared spectroscopy","level":2,"score":0.4380718767642975},{"id":"https://openalex.org/C32891209","wikidata":"https://www.wikidata.org/wiki/Q483666","display_name":"Spectroscopy","level":2,"score":0.42769479751586914},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4002090096473694},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37552934885025024},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15128600597381592},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2025.3581065","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3581065","pdf_url":null,"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:hira.hope.ac.uk:4694","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402035","display_name":"Hope's Institutional Research Archive (Liverpool Hope University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I44852757","host_organization_name":"Liverpool Hope University","host_organization_lineage":["https://openalex.org/I44852757"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:doaj.org/article:8fd43f5fa210430a8769f08f7d714c4b","is_oa":true,"landing_page_url":"https://doaj.org/article/8fd43f5fa210430a8769f08f7d714c4b","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 108533-108550 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3581065","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3581065","pdf_url":null,"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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":93,"referenced_works":["https://openalex.org/W1545718237","https://openalex.org/W1848292662","https://openalex.org/W1988605241","https://openalex.org/W1989665358","https://openalex.org/W2045561515","https://openalex.org/W2050283071","https://openalex.org/W2080146198","https://openalex.org/W2080483844","https://openalex.org/W2087484885","https://openalex.org/W2098536759","https://openalex.org/W2110154082","https://openalex.org/W2110527401","https://openalex.org/W2124459709","https://openalex.org/W2145044213","https://openalex.org/W2145416734","https://openalex.org/W2149687651","https://openalex.org/W2166148649","https://openalex.org/W2280683023","https://openalex.org/W2299409018","https://openalex.org/W2399213819","https://openalex.org/W2419321653","https://openalex.org/W2434214239","https://openalex.org/W2475767983","https://openalex.org/W2556806676","https://openalex.org/W2738051834","https://openalex.org/W2770412914","https://openalex.org/W2781047419","https://openalex.org/W2788284887","https://openalex.org/W2897897251","https://openalex.org/W2899247207","https://openalex.org/W2907492528","https://openalex.org/W2912616881","https://openalex.org/W2913615081","https://openalex.org/W2916612373","https://openalex.org/W2917321998","https://openalex.org/W2938217513","https://openalex.org/W2953360276","https://openalex.org/W2964015378","https://openalex.org/W2985331920","https://openalex.org/W2997546679","https://openalex.org/W2998993395","https://openalex.org/W3001940494","https://openalex.org/W3016042987","https://openalex.org/W3040313359","https://openalex.org/W3045004532","https://openalex.org/W3046127348","https://openalex.org/W3047569814","https://openalex.org/W3107024732","https://openalex.org/W3167575522","https://openalex.org/W3174889011","https://openalex.org/W3178397732","https://openalex.org/W3191423534","https://openalex.org/W3198073844","https://openalex.org/W3199597644","https://openalex.org/W3201498993","https://openalex.org/W4205727853","https://openalex.org/W4211198594","https://openalex.org/W4220685893","https://openalex.org/W4230982924","https://openalex.org/W4280507150","https://openalex.org/W4286797248","https://openalex.org/W4289364333","https://openalex.org/W4300961069","https://openalex.org/W4309048042","https://openalex.org/W4309845595","https://openalex.org/W4313237733","https://openalex.org/W4319778048","https://openalex.org/W4322622387","https://openalex.org/W4383220140","https://openalex.org/W4385596501","https://openalex.org/W4386947312","https://openalex.org/W4387340074","https://openalex.org/W4388264278","https://openalex.org/W4389739573","https://openalex.org/W4390849939","https://openalex.org/W4392249908","https://openalex.org/W4393035405","https://openalex.org/W4394862982","https://openalex.org/W4396218897","https://openalex.org/W4397007482","https://openalex.org/W4398144639","https://openalex.org/W4401878913","https://openalex.org/W4402353808","https://openalex.org/W4403003695","https://openalex.org/W4405976735","https://openalex.org/W4406842601","https://openalex.org/W4407921617","https://openalex.org/W4408358804","https://openalex.org/W6718723719","https://openalex.org/W6719270105","https://openalex.org/W6720006811","https://openalex.org/W6729223851","https://openalex.org/W6732165702"],"related_works":["https://openalex.org/W1542038854","https://openalex.org/W3131063699","https://openalex.org/W4230137352","https://openalex.org/W2108613701","https://openalex.org/W2415545749","https://openalex.org/W2185041379","https://openalex.org/W1612801273","https://openalex.org/W4255036497","https://openalex.org/W3128057522","https://openalex.org/W2137261382"],"abstract_inverted_index":{"The":[0,32,82,197],"work":[1],"presents":[2],"a":[3,72,121,136,219],"novel":[4,73,137],"approach":[5,233],"to":[6,115,140,161,209],"assess":[7],"the":[8,85,105,111,144,149,187,194,210,231],"scientific":[9,176,244],"creative":[10,69],"ability":[11],"of":[12,41,54,62,68,84,91,110,120,135,156,222,243],"subjects":[13],"by":[14,71,184,191,204],"analyzing":[15],"their":[16],"brain":[17,42],"connectivity":[18,43],"patterns":[19],"through":[20],"functional":[21],"Near-Infrared":[22],"Spectroscopy":[23],"(fNIRS)":[24],"during":[25],"participation":[26],"in":[27,148,224],"an":[28,92],"analogical":[29],"reasoning":[30,160],"test.":[31],"proposed":[33,198,232],"method":[34,199],"involves":[35],"three":[36,55,167],"key":[37],"stages:":[38],"i)":[39,89],"construction":[40],"networks":[44],"using":[45],"Wavelet":[46],"Transform":[47],"Coherence":[48],"(WTC),":[49],"ii)":[50,108],"abstraction":[51],"and":[52,59,100,153,190,206,212],"analysis":[53],"node-based":[56],"network":[57],"features,":[58],"iii)":[60,118],"classification":[61,182,225],"abstracted":[63],"features":[64],"into":[65],"five":[66],"degrees":[67,242],"potential":[70],"Enhanced":[74],"Graph":[75],"Convolution":[76],"Induced":[77],"Type-2":[78],"Fuzzy":[79],"Classifier":[80],"(EGCIFC).":[81],"novelty":[83],"classifier":[86],"lies":[87],"in:":[88],"design":[90,134],"enhanced":[93],"graph":[94],"convolution":[95,124],"operation":[96],"that":[97,179],"encapsulates":[98],"local":[99],"global":[101],"structural":[102],"information":[103,129],"from":[104,174],"input":[106],"graph,":[107],"use":[109],"Smish":[112],"activation":[113],"function":[114,139],"improve":[116],"performance,":[117],"inclusion":[119],"one-dimensional":[122],"spatial":[123,145],"layer":[125],"for":[126,237],"preserving":[127],"relevant":[128],"within":[130],"convolved":[131,146],"embeddings,":[132],"iv)":[133],"mapping":[138],"mitigate":[141],"uncertainty":[142],"among":[143],"vectors":[147],"type-2":[150],"fuzzy":[151,159],"layer,":[152],"v)":[154],"application":[155],"Takagi-Sugeno-Kang":[157],"(TSK)-based":[158],"reduce":[162],"computational":[163,202],"cost.":[164],"Evaluation":[165],"on":[166],"datasets,":[168],"each":[169],"comprising":[170],"over":[171,186,193],"45":[172],"individuals":[173,239],"different":[175,247],"backgrounds,":[177],"shows":[178],"EGCIFC":[180,217],"improves":[181],"accuracy":[183],"2.25%":[185],"nearest":[188,211],"competitor":[189],"22.72%":[192],"lowest-performing":[195],"baseline.":[196],"also":[200],"reduces":[201],"cost":[203],"7.46%":[205],"54.7%":[207],"compared":[208],"worst":[213],"competitors,":[214],"respectively.":[215],"Additionally,":[216],"exhibits":[218],"standard":[220],"deviation":[221],"\u00b10.72%":[223],"accuracy,":[226],"reflecting":[227],"its":[228],"robustness.":[229],"Hence,":[230],"may":[234],"prove":[235],"effective":[236],"recruiting":[238],"with":[240],"varying":[241],"creativity":[245],"across":[246],"research":[248],"sectors.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}