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A deep neural networks-based image reconstruction algorithm for a reduced sensor model in large-scale tomography system

Image reconstruction for soft-field tomography is a highly nonlinear and ill-posed inverse problem. Owing to the highly complicated nature of soft-field, the reconstructed images are always poor in quality. One of the factors that affect image quality is the number of sensors in a tomography system....

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書誌詳細
主要な著者:	Lee, Chau Ching, Rahiman, Mohd. Hafiz Fazalul, Leow, Pei Ling, Abdul Rahim, Ruzairi, Ahmad Saad, Fathinul Syahir
フォーマット:	論文
出版事項:	Elsevier Ltd 2022
主題:	TK Electrical engineering. Electronics Nuclear engineering
オンライン･アクセス:	http://eprints.utm.my/id/eprint/99457/ http://dx.doi.org/10.1016/j.flowmeasinst.2022.102234
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

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