{"created":"2023-05-15T11:58:49.513916+00:00","id":5001,"links":{},"metadata":{"_buckets":{"deposit":"eb4c8e04-a1e1-44b8-9161-306f5f5e6683"},"_deposit":{"created_by":18,"id":"5001","owners":[18],"pid":{"revision_id":0,"type":"depid","value":"5001"},"status":"published"},"_oai":{"id":"oai:kyutech.repo.nii.ac.jp:00005001","sets":["6:23"]},"author_link":[],"item_20_alternative_title_17":{"attribute_name":"その他のタイトル","attribute_value_mlt":[{"subitem_alternative_title":"脳波信号解析に注目したノイズ除去、特徴抽出、実験観測応用を最適化する数理基盤に関する研究","subitem_alternative_title_language":"ja"}]},"item_20_date_granted_61":{"attribute_name":"学位授与年月日","attribute_value_mlt":[{"subitem_dategranted":"2017-03-24"}]},"item_20_degree_grantor_59":{"attribute_name":"学位授与機関","attribute_value_mlt":[{"subitem_degreegrantor":[{"subitem_degreegrantor_name":"九州工業大学"}],"subitem_degreegrantor_identifier":[{"subitem_degreegrantor_identifier_name":"17104","subitem_degreegrantor_identifier_scheme":"kakenhi"}]}]},"item_20_description_5":{"attribute_name":"備考","attribute_value_mlt":[{"subitem_description":"九州工業大学博士学位論文(要旨)学位記番号:生工博甲第290号 学位授与年月日:平成29年3月24日","subitem_description_type":"Other"}]},"item_20_dissertation_number_62":{"attribute_name":"学位授与番号","attribute_value_mlt":[{"subitem_dissertationnumber":"甲第290号"}]},"item_20_text_37":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"九州工業大学大学院生命体工学研究科"}]},"item_20_text_68":{"attribute_name":"連携ID","attribute_value_mlt":[{"subitem_text_value":"6155"}]},"item_20_version_type_63":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_be7fb7dd8ff6fe43","subitem_version_type":"NA"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Singh, Balbir","creatorNameLang":"en"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2017-05-24"}],"displaytype":"detail","filename":"sei_kou_290.pdf","filesize":[{"value":"260.1 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"sei_kou_290.pdf","url":"https://kyutech.repo.nii.ac.jp/record/5001/files/sei_kou_290.pdf"},"version_id":"39f894db-799b-44fa-80bd-a85c919c5256"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"thesis","resourceuri":"http://purl.org/coar/resource_type/c_46ec"}]},"item_title":"A Mathematical Framework to Optimize Methods for De-noising and Features Extraction of EEG Signals and Perspectives on Applications of Experimental Observations","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"A Mathematical Framework to Optimize Methods for De-noising and Features Extraction of EEG Signals and Perspectives on Applications of Experimental Observations","subitem_title_language":"en"}]},"item_type_id":"20","owner":"18","path":["23"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2017-05-24"},"publish_date":"2017-05-24","publish_status":"0","recid":"5001","relation_version_is_last":true,"title":["A Mathematical Framework to Optimize Methods for De-noising and Features Extraction of EEG Signals and Perspectives on Applications of Experimental Observations"],"weko_creator_id":"18","weko_shared_id":-1},"updated":"2024-01-10T05:39:58.740654+00:00"}