{"id":"https://openalex.org/W4414856534","doi":"https://doi.org/10.1109/tce.2025.3618009","title":"Deep Fusion of VGG19 and ConvMixer With Superlet Transform for Cognitive Load Detection","display_name":"Deep Fusion of VGG19 and ConvMixer With Superlet Transform for Cognitive Load Detection","publication_year":2025,"publication_date":"2025-10-06","ids":{"openalex":"https://openalex.org/W4414856534","doi":"https://doi.org/10.1109/tce.2025.3618009"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2025.3618009","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3618009","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","raw_type":"journal-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/A5035660523","display_name":"Jammisetty Yedukondalu","orcid":null},"institutions":[{"id":"https://openalex.org/I1336731492","display_name":"Electronics Corporation of India","ror":"https://ror.org/00axkns98","country_code":"IN","type":"government","lineage":["https://openalex.org/I1336731492"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Jammisetty Yedukondalu","raw_affiliation_strings":["Department of ECE, PACE Institute of Technology and Sciences, Ongole, Andhra Pradesh, India","Department of ECE, PACE Institute of Technology &#x0026; Sciences, Ongole, Andhra Pradesh, India"],"raw_orcid":"https://orcid.org/0000-0002-6689-9798","affiliations":[{"raw_affiliation_string":"Department of ECE, PACE Institute of Technology and Sciences, Ongole, Andhra Pradesh, India","institution_ids":[]},{"raw_affiliation_string":"Department of ECE, PACE Institute of Technology &#x0026; Sciences, Ongole, Andhra Pradesh, India","institution_ids":["https://openalex.org/I1336731492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071941333","display_name":"M. Ramesh","orcid":"https://orcid.org/0000-0002-8401-2521"},"institutions":[{"id":"https://openalex.org/I226983648","display_name":"Narsee Monjee Institute of Management Studies","ror":"https://ror.org/04qksbm30","country_code":"IN","type":"education","lineage":["https://openalex.org/I226983648"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M. Ramesh","raw_affiliation_strings":["School of Technology Management and Engineering, NMIMS Deemed-to-be-University, Hyderabad, India","School of Technology Management Engineering, NMIMS Deemed-to-be-University, Jadcherla, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Technology Management and Engineering, NMIMS Deemed-to-be-University, Hyderabad, India","institution_ids":["https://openalex.org/I226983648"]},{"raw_affiliation_string":"School of Technology Management Engineering, NMIMS Deemed-to-be-University, Jadcherla, Hyderabad, India","institution_ids":["https://openalex.org/I226983648"]}]},{"author_position":"middle","author":{"id":null,"display_name":"N. Janardhan","orcid":null},"institutions":[{"id":"https://openalex.org/I885392262","display_name":"GITAM University","ror":"https://ror.org/0440p1d37","country_code":"IN","type":"education","lineage":["https://openalex.org/I885392262"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"N. Janardhan","raw_affiliation_strings":["Department of Computer Science and Engineering, GITAM School of Technology, GITAM (Deemed to be University), Hyderabad, India","Department of Computer Science and Engineering, GITAM School of Technology, GITAM (Deemed to be University) Rudraram, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, GITAM School of Technology, GITAM (Deemed to be University), Hyderabad, India","institution_ids":["https://openalex.org/I885392262"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, GITAM School of Technology, GITAM (Deemed to be University) Rudraram, Hyderabad, India","institution_ids":["https://openalex.org/I885392262"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030298676","display_name":"Sahebgoud Hanamantray Karaddi","orcid":"https://orcid.org/0000-0002-5972-886X"},"institutions":[{"id":"https://openalex.org/I1336731492","display_name":"Electronics Corporation of India","ror":"https://ror.org/00axkns98","country_code":"IN","type":"government","lineage":["https://openalex.org/I1336731492"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sahebgoud Hanamantray Karaddi","raw_affiliation_strings":["Department of ECE, Kishkinda University, Ballari, Karnataka, India"],"raw_orcid":"https://orcid.org/0000-0002-5972-886X","affiliations":[{"raw_affiliation_string":"Department of ECE, Kishkinda University, Ballari, Karnataka, India","institution_ids":["https://openalex.org/I1336731492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047090761","display_name":"T. Gowri","orcid":"https://orcid.org/0000-0002-2584-1397"},"institutions":[{"id":"https://openalex.org/I4210131147","display_name":"SRM University","ror":"https://ror.org/037skf023","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018","https://openalex.org/I4210131147"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"T. Chandana Gowri","raw_affiliation_strings":["Department of Computer Science and Engineering, SRM University-AP, Amaravati, Andhra Pradesh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, SRM University-AP, Amaravati, Andhra Pradesh, India","institution_ids":["https://openalex.org/I4210131147"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yadavalli Murali Krishna","orcid":"https://orcid.org/0000-0001-7819-6590"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yadavalli Murali Krishna","raw_affiliation_strings":["Department of ECE, QIS College of Engineering and Technology, Ongole, India"],"raw_orcid":"https://orcid.org/0000-0001-7819-6590","affiliations":[{"raw_affiliation_string":"Department of ECE, QIS College of Engineering and Technology, Ongole, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039093148","display_name":"Lakhan Dev Sharma","orcid":"https://orcid.org/0000-0002-5389-3928"},"institutions":[{"id":"https://openalex.org/I4210131147","display_name":"SRM University","ror":"https://ror.org/037skf023","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018","https://openalex.org/I4210131147"]},{"id":"https://openalex.org/I4401726783","display_name":"VIT-AP University","ror":"https://ror.org/007v4hf75","country_code":null,"type":"education","lineage":["https://openalex.org/I4401726783"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Lakhan Dev Sharma","raw_affiliation_strings":["School of Electronics Engineering, VIT-AP University, Amaravati, Andhra Pradesh, India","School Of Electronics Engineering, VIT-AP University, Amaravathi, AP, India"],"raw_orcid":"https://orcid.org/0000-0002-5389-3928","affiliations":[{"raw_affiliation_string":"School of Electronics Engineering, VIT-AP University, Amaravati, Andhra Pradesh, India","institution_ids":["https://openalex.org/I4210131147","https://openalex.org/I4401726783"]},{"raw_affiliation_string":"School Of Electronics Engineering, VIT-AP University, Amaravathi, AP, India","institution_ids":["https://openalex.org/I4210131147"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054858388","display_name":"K. Srinivasa Rao","orcid":"https://orcid.org/0000-0003-1239-5196"},"institutions":[{"id":"https://openalex.org/I875944469","display_name":"Koneru Lakshmaiah Education Foundation","ror":"https://ror.org/02k949197","country_code":"IN","type":"education","lineage":["https://openalex.org/I875944469"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Srinivasa Rao Karumuri","raw_affiliation_strings":["Department of Electronics and Communication Engineering, VLSI-Microelectronics Research Laboratory, Koneru Lakshmaiah Education Foundation (Deemed to be University), Guntur, Andhra Pradesh, India","Department of Electronics and Communication Engineering, VLSI-Microelectronics Research Lab, Koneru Lakshmaiah Education Foundation (Deemed to be University), Green Fields, Vaddeswaram, Guntur, Andhra Pradesh, India"],"raw_orcid":"https://orcid.org/0000-0003-1239-5196","affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, VLSI-Microelectronics Research Laboratory, Koneru Lakshmaiah Education Foundation (Deemed to be University), Guntur, Andhra Pradesh, India","institution_ids":["https://openalex.org/I875944469"]},{"raw_affiliation_string":"Department of Electronics and Communication Engineering, VLSI-Microelectronics Research Lab, Koneru Lakshmaiah Education Foundation (Deemed to be University), Green Fields, Vaddeswaram, Guntur, Andhra Pradesh, India","institution_ids":["https://openalex.org/I875944469"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5035660523"],"corresponding_institution_ids":["https://openalex.org/I1336731492"],"apc_list":null,"apc_paid":null,"fwci":4.0174,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.94145804,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"71","issue":"4","first_page":"9557","last_page":"9568"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.923799991607666,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.923799991607666,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7003999948501587},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5633999705314636},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5126000046730042},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.461899995803833},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4526999890804291},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.4496999979019165},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.44429999589920044},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.39169999957084656},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.37450000643730164}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7479000091552734},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.713699996471405},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7003999948501587},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5633999705314636},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5126000046730042},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.461899995803833},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4526999890804291},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.4496999979019165},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.44429999589920044},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.39169999957084656},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.37450000643730164},{"id":"https://openalex.org/C95722684","wikidata":"https://www.wikidata.org/wiki/Q2622756","display_name":"Continuous wavelet transform","level":5,"score":0.3610999882221222},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3513000011444092},{"id":"https://openalex.org/C119653847","wikidata":"https://www.wikidata.org/wiki/Q1327780","display_name":"Elementary cognitive task","level":3,"score":0.32760000228881836},{"id":"https://openalex.org/C117623542","wikidata":"https://www.wikidata.org/wiki/Q621974","display_name":"Automatic target recognition","level":3,"score":0.32249999046325684},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3160000145435333},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.3109000027179718},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.30959999561309814},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.3057999908924103},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29089999198913574},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.28929999470710754},{"id":"https://openalex.org/C61641136","wikidata":"https://www.wikidata.org/wiki/Q1107019","display_name":"Cognitive load","level":3,"score":0.2750999927520752},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.26829999685287476},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.2678999900817871},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.26489999890327454},{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.2605000138282776},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.25690001249313354},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.25270000100135803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2025.3618009","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3618009","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1980877068","https://openalex.org/W2025210939","https://openalex.org/W2063705912","https://openalex.org/W2079735306","https://openalex.org/W2086165165","https://openalex.org/W2110485445","https://openalex.org/W2136117227","https://openalex.org/W2158076175","https://openalex.org/W2241667675","https://openalex.org/W2559463885","https://openalex.org/W2602063239","https://openalex.org/W2741907166","https://openalex.org/W2765666606","https://openalex.org/W2779725940","https://openalex.org/W2889717020","https://openalex.org/W2894692871","https://openalex.org/W2903486342","https://openalex.org/W2910134385","https://openalex.org/W2946783148","https://openalex.org/W3027500411","https://openalex.org/W3106553357","https://openalex.org/W3119740068","https://openalex.org/W3172915759","https://openalex.org/W4207027818","https://openalex.org/W4223963833","https://openalex.org/W4225725965","https://openalex.org/W4233907123","https://openalex.org/W4285161189","https://openalex.org/W4286631276","https://openalex.org/W4288458119","https://openalex.org/W4289538860","https://openalex.org/W4293740978","https://openalex.org/W4309485612","https://openalex.org/W4312623099","https://openalex.org/W4320000536","https://openalex.org/W4324360559","https://openalex.org/W4365142469","https://openalex.org/W4367181541","https://openalex.org/W4367187727","https://openalex.org/W4377195837","https://openalex.org/W4379058548","https://openalex.org/W4379768267","https://openalex.org/W4387217551","https://openalex.org/W4388469625","https://openalex.org/W4389141918","https://openalex.org/W4391406918","https://openalex.org/W4393371069","https://openalex.org/W4394633221","https://openalex.org/W4394984563","https://openalex.org/W4396938726","https://openalex.org/W4401227806","https://openalex.org/W4401794641","https://openalex.org/W4404296372","https://openalex.org/W4404562971","https://openalex.org/W4405517614","https://openalex.org/W4407767392","https://openalex.org/W4409761441","https://openalex.org/W4411405424","https://openalex.org/W4412692611"],"related_works":[],"abstract_inverted_index":{"The":[0,74,106,139,193],"cognitive":[1,104,238,254],"load":[2,239,255],"triggers":[3],"neural":[4,82],"activity,":[5],"which":[6],"is":[7],"crucial":[8],"for":[9,190],"understanding":[10],"the":[11,58,99,116,119,123,126,142,176,205,211],"brain\u2019s":[12],"response":[13],"to":[14,102,171,256],"mental":[15,29,247],"stress":[16,250,261],"or":[17],"stimuli":[18],"that":[19],"induce":[20],"stress.":[21],"Electroencephalogram":[22],"(EEG)":[23],"signals":[24,45],"were":[25,46,78,96],"collected":[26],"from":[27],"a":[28,90],"arithmetic":[30],"task":[31,34],"(MAT),":[32],"simultaneous":[33],"EEG":[35,191],"workload":[36],"datasets":[37],"and":[38,70,89,110,128,136,148,155,166,208,228,249,259],"segmented":[39,44],"into":[40,49,80],"4-second":[41],"intervals.":[42],"These":[43,233],"then":[47],"transformed":[48],"images":[50,77],"using":[51,98],"various":[52],"time-frequency":[53],"conversion":[54,134],"methods":[55,135],"(TF),":[56],"including":[57],"Short-Time":[59],"Fourier":[60],"Transform":[61,65,68,72],"(STFT),":[62],"Continuous":[63],"Wavelet":[64],"(CWT),":[66],"Q":[67],"(QT),":[69],"Superlet":[71],"(SLT).":[73],"resulting":[75],"TF":[76,133],"fed":[79],"convolutional":[81],"networks":[83],"(CNNs),":[84],"such":[85,219,243],"as":[86,220,244],"VGG19,":[87],"ConvMixer,":[88],"fusion":[91,124],"of":[92,125,145,202],"VGG19+ConvMixer.":[93],"CNN":[94,137],"models":[95,117],"trained":[97],"Adam":[100],"optimizer":[101],"detect":[103],"load.":[105],"preprocessing":[107],"involved":[108],"normalization,":[109],"scaling":[111],"in":[112,262],"both":[113,146],"phases.":[114],"Among":[115],"tested,":[118],"SLT-based":[120],"TF-EEG":[121],"with":[122,160,214],"VGG19":[127,147,196],"ConvMixer":[129,149,198],"model":[130,199],"outperformed":[131],"other":[132,216],"architectures.":[138],"VGG19+ConvMixer":[140],"utilizes":[141],"individual":[143],"advantages":[144],"models.":[150],"It":[151],"helps":[152],"reduce":[153,260],"overfitting":[154],"vanishing":[156],"gradients,":[157],"enhances":[158],"performance":[159,258],"new":[161],"data,":[162],"improves":[163],"GPU":[164],"acceleration,":[165],"reduces":[167],"computational":[168],"cost":[169],"due":[170],"its":[172,183],"simpler":[173],"architecture.":[174],"However,":[175],"SLT":[177,194],"effectively":[178],"handles":[179],"non-stationary":[180],"data":[181],"through":[182],"adaptive":[184],"multi-resolution":[185],"approach,":[186],"making":[187],"it":[188],"ideal":[189],"analysis.":[192],"+":[195,197],"achieved":[200],"accuracies":[201],"97.26%":[203],"on":[204,210],"MAT":[206],"dataset":[207],"96.04%":[209],"STEW":[212],"dataset,":[213],"all":[215],"evaluation":[217],"metrics":[218],"precision,":[221],"sensitivity,":[222],"specificity,":[223],"F-score,":[224],"MCC,":[225],"Jaccard":[226],"index,":[227],"Cohen\u2019s":[229],"kappa":[230],"exceeding":[231],"94%.":[232],"findings":[234],"can":[235],"enhance":[236],"real-time":[237],"monitoring,":[240],"benefiting":[241],"areas":[242],"personalized":[245],"learning,":[246],"health,":[248],"management":[251],"by":[252],"detecting":[253],"improve":[257],"critical":[263],"situations.":[264]},"counts_by_year":[{"year":2026,"cited_by_count":4}],"updated_date":"2026-05-20T08:49:12.498775","created_date":"2025-10-10T00:00:00"}
