A supervised deep feedforward neural network (SDFNN)-based image reconstruction algorithm for radio tomographic imaging

• 主要な著者: Lee, Chau Ching, Rahiman, Mohd. Hafiz Fazalul, Abdul Rahim, Ruzairi, Ahmad Saad, Fathinul Syahir
• フォーマット: 論文
• 言語: English
• 出版事項: Penerbit UTM Press 2021
• 主題: TK Electrical engineering. Electronics Nuclear engineering
• オンライン･アクセス: http://eprints.utm.my/id/eprint/98336/1/RuzairiAbdulRahim2021_ASupervisedDeepFeedforwardNeural.pdf; http://eprints.utm.my/id/eprint/98336/; https://elektrika.utm.my/index.php/ELEKTRIKA_Journal/article/view/310

Radio tomographic imaging (RTI) is an emerging imaging technique that utilizes the shadowing losses on links between multiple pairs of wireless nodes within the sensing area to estimate the attenuation of physical objects. By using an image reconstruction algorithm, the attenuations caused by the ph...