{"id":"https://openalex.org/W39252680","doi":"https://doi.org/10.1142/s0129065724500606","title":"Towards E-learning Grid Services","display_name":"Towards E-learning Grid Services","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W39252680","doi":"https://doi.org/10.1142/s0129065724500606","mag":"39252680"},"language":"en","primary_location":{"id":"mag:39252680","is_oa":false,"landing_page_url":"https://www.learntechlib.org/p/15035/proceedings_15035.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306509076","display_name":"E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education","raw_type":null},"type":"article","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/A5014835132","display_name":"Vytautas R\u0117klaitis","orcid":null},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Vytautas R\u0117klaitis","raw_affiliation_strings":["Graduate School of IS, Univ of Electro-Communications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of IS, Univ of Electro-Communications","institution_ids":["https://openalex.org/I20529979"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5014835132"],"corresponding_institution_ids":["https://openalex.org/I20529979"],"apc_list":null,"apc_paid":null,"fwci":0.4125,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64963504,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2003","issue":"1","first_page":"692","last_page":"695"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.5382663011550903},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.42818552255630493},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1811140775680542}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5382663011550903},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.42818552255630493},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1811140775680542},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:39252680","is_oa":false,"landing_page_url":"https://www.learntechlib.org/p/15035/proceedings_15035.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306509076","display_name":"E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2139011779","https://openalex.org/W1998068240","https://openalex.org/W2343131770","https://openalex.org/W2073526193","https://openalex.org/W2091479054","https://openalex.org/W3110832754","https://openalex.org/W3211721376","https://openalex.org/W2971985850","https://openalex.org/W1509070672","https://openalex.org/W3150728797","https://openalex.org/W2302499928","https://openalex.org/W2074819366","https://openalex.org/W1824613164","https://openalex.org/W2914095179","https://openalex.org/W2206740415","https://openalex.org/W2158882301","https://openalex.org/W2176834658","https://openalex.org/W2560568181","https://openalex.org/W1520822001","https://openalex.org/W2793049203"],"abstract_inverted_index":{"Automatic":[0],"seizure":[1,28,67,132,158,197],"detection":[2,133,159],"has":[3],"significant":[4,91],"value":[5],"in":[6],"epilepsy":[7],"diagnosis":[8],"and":[9,33,100,108,172,177,195],"treatment.":[10],"Although":[11],"a":[12,49,79,156],"variety":[13],"of":[14,36,43,78,84,105,121,169],"deep":[15,38],"learning":[16,65,152],"models":[17,39],"have":[18],"been":[19],"proposed":[20,187],"to":[21,154],"automatically":[22],"learn":[23],"electroencephalography":[24],"(EEG)":[25],"features":[26,93],"for":[27,62,66,193],"detection,":[29],"the":[30,41,76,90,97,119,122,137,175,186],"generalization":[31],"performance":[32],"computational":[34],"burden":[35],"such":[37],"remain":[40],"bottleneck":[42],"practical":[44],"application.":[45],"In":[46],"this":[47,149],"study,":[48],"novel":[50],"lightweight":[51],"model":[52,115,153],"based":[53],"on":[54,174],"random":[55,70],"convolutional":[56,71,101],"kernel":[57],"transform":[58,87],"(ROCKET)":[59],"is":[60],"developed":[61],"EEG":[63,92,150,179],"feature":[64,151],"detection.":[68,198],"Specifically,":[69],"kernels":[72],"are":[73,94],"embedded":[74],"into":[75,131],"structure":[77],"wavelet":[80,86],"scattering":[81,98],"network":[82],"instead":[83],"original":[85],"convolutions.":[88],"Then":[89],"selected":[95],"from":[96,125],"coefficients":[99],"outputs":[102],"by":[103,134],"analysis":[104],"variance":[106],"(ANOVA)":[107],"minimum":[109],"redundancy-maximum":[110],"relevance":[111],"(MRMR)":[112],"methods.":[113],"This":[114],"not":[116],"only":[117,136],"preserves":[118],"merits":[120],"fast-training":[123],"process":[124],"ROCKET,":[126],"but":[127],"also":[128],"provides":[129],"insight":[130],"retaining":[135],"helpful":[138],"channels.":[139],"The":[140,181],"extreme":[141],"gradient":[142],"boosting":[143],"(XGboost)":[144],"classifier":[145],"was":[146],"combined":[147],"with":[148,166],"build":[155],"comprehensive":[157],"system":[160],"that":[161,185],"achieved":[162],"promising":[163],"epoch-based":[164],"results,":[165],"over":[167],"90%":[168],"both":[170],"sensitivity":[171],"specificity":[173],"scalp":[176],"intracranial":[178],"databases.":[180],"experimental":[182],"comparisons":[183],"showed":[184],"method":[188],"outperformed":[189],"other":[190],"state-of-the-art":[191],"methods":[192],"cross-patient":[194],"patient-specific":[196]},"counts_by_year":[],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2016-06-24T00:00:00"}