{"product_id":"ieej-20240325c00701-015","title":"Enhancing Missing Data Imputation Using Generative Adversarial Self-Attention Imputation Mechanism","description":"\u003cp\u003e\u003cstrong\u003eカテゴリ: \u003c\/strong\u003e研究会(論文単位)\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e論文No: \u003c\/strong\u003eCMN24032\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eグループ名: \u003c\/strong\u003e【C】電子・情報・システム部門 通信研究会\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e発行日: \u003c\/strong\u003e2024\/03\/25\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eタイトル(英語): \u003c\/strong\u003eEnhancing Missing Data Imputation Using Generative Adversarial Self-Attention Imputation Mechanism\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e著者名: \u003c\/strong\u003eVellandurai Akhash(Hitachi India Private Limited),Sharma Ankit(Hitachi India Private Limited),Samon Thiruvengadam(Hitachi India Private Limited),Kumar Vinoth(Hitachi India Private Limited)\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e著者名(英語): \u003c\/strong\u003eAkhash Vellandurai(Hitachi India Private Limited),Ankit Sharma(Hitachi India Private Limited),Thiruvengadam Samon(Hitachi India Private Limited),Vinoth Kumar(Hitachi India Private Limited)\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eキーワード: \u003c\/strong\u003eTransportation|Smart cities|Missing Data| Imputation|Generative Adversarial Self-Attention Imputation|Mean Squared Error|Transportation|Smart cities|Missing Data| Imputation|Generative Adversarial Self-Attention Imputation|Mean Squared Error\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e要約(日本語): \u003c\/strong\u003eThe intelligent bus transportation system is pivotal for smart city mobility, relying on accurate future demand estimation and optimized timetables. However, incomplete datasets pose challenges for data-driven improvements. This study introduces the Generative Adversarial Self Attention Imputation Network, merging Generative Adversarial Imputation Framework and Self Attention Mechanism which enhances capturing long-term dependencies. Further, loss function of generator is modified to integrate both reconstructions and discriminative loss making it adept for datasets with complex nonlinear relationships. It results in 10.374% improvement in Mean Squared Error over the next best algorithm Gaussian Process Variational Autoencoder.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e要約(英語): \u003c\/strong\u003eThe intelligent bus transportation system is pivotal for smart city mobility, relying on accurate future demand estimation and optimized timetables. However, incomplete datasets pose challenges for data-driven improvements. This study introduces the Generative Adversarial Self Attention Imputation Network, merging Generative Adversarial Imputation Framework and Self Attention Mechanism which enhances capturing long-term dependencies. Further, loss function of generator is modified to integrate both reconstructions and discriminative loss making it adept for datasets with complex nonlinear relationships. It results in 10.374% improvement in Mean Squared Error over the next best algorithm Gaussian Process Variational Autoencoder.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e本誌: \u003c\/strong\u003e\u003ca href=\"\/products\/ieej-20240325c00701\"\u003e2024年3月28日-2024年3月29日通信研究会\u003c\/a\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e本誌掲載ページ: \u003c\/strong\u003e83-88 p\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e原稿種別: \u003c\/strong\u003e英語\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePDFファイルサイズ: \u003c\/strong\u003e1,011 Kバイト\u003c\/p\u003e","brand":"IEEJ-P10","offers":[{"title":"冊子印刷（一般価格660円\/会員価格440円） \/ A4 \/ 6","offer_id":46352566845679,"sku":"IEEJ-20240325C00701-015-PRT","price":660.0,"currency_code":"JPY","in_stock":true},{"title":"PDFダウンロード（一般価格330円\/会員価格220円） \/ A4 \/ 6","offer_id":46355722764527,"sku":"IEEJ-20240325C00701-015-PDF","price":330.0,"currency_code":"JPY","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0718\/9512\/2159\/files\/IEEJ-KENKYUKAI_81b7037a-4eda-48a2-834b-16b3e549a859.png?v=1743252194","url":"https:\/\/ieej.bookpark.ne.jp\/products\/ieej-20240325c00701-015","provider":"電気学会 電子図書館","version":"1.0","type":"link"}