Ng, Michael
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1

Deep-Learning-Based Source Reconstruction Method Using Deep..:

Yao, He Ming ; Jiang, Lijun ; Ng, Michael
IEEE Transactions on Microwave Theory and Techniques.  72 (2024)  5 - p. 2949-2960 , 2024
 
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2

Ecoregion-wise fractional mapping of tree functional compos..:

Lin, Ziyu ; Cheng, K.H. ; Yang, Dedi...
Remote Sensing of Environment.  304 (2024)  - p. 114026 , 2024
 
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3

Deep Learning Electromagnetic Inversion Solver Based on a T..:

Yao, He Ming ; Ng, Michael ; Jiang, Lijun
IEEE Transactions on Antennas and Propagation.  72 (2024)  6 - p. 5337-5342 , 2024
 
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4

Analytical and Functional Similarity of Aflibercept Biosimi..:

Seo, Neungseon ; Guan, Xiaoyan ; Wang, Tian...
Ophthalmology and Therapy.  13 (2024)  5 - p. 1303-1320 , 2024
 
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7

Enhanced Deep Learning Approach Based on the Conditional Ge..:

Yao, He Ming ; Jiang, Lijun ; Ng, Michael
IEEE Transactions on Antennas and Propagation.  72 (2024)  7 - p. 6133-6138 , 2024
 
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9

Antenna Array Diagnosis Using a Deep Learning Approach:

Yao, He Ming ; Li, Min ; Jiang, Lijun..
IEEE Transactions on Antennas and Propagation.  72 (2024)  6 - p. 5396-5401 , 2024
 
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10

Spectral algorithms for learning with dependent observation:

Tong, Hongzhi ; Ng, Michael
Journal of Computational and Applied Mathematics.  437 (2024)  - p. 115437 , 2024
 
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12

Enhanced Deep Learning Approach for Electromagnetic Forward..:

Yao, He Ming ; Zhang, Huan Huan ; Jiang, Lijun.
IEEE Antennas and Wireless Propagation Letters.  23 (2024)  6 - p. 1884-1888 , 2024
 
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