( en | de | ru )

 

Disambiguierung von "Cui, Tie Jun"

Autor der Publikation

KopierenLöschenDiese Publikation zur Ablage hinzufügen
Detection of buried targets using a new enhanced very early time electromagnetic (VETEM) prototype system.

, , , , und . IEEE Trans. Geosci. Remote. Sens., 39 (12): 2702-2712 (2001)

Bitte wählen Sie eine Person um die Publikation zuzuordnen

Um zwischen Personen mit demselben Namen zu unterscheiden, wird der akademische Grad und der Titel einer wichtigen Publikation angezeigt. Zudem lassen sich über den Button neben dem Namen einige der Person bereits zugeordnete Publikationen anzeigen.

Jun-Hui Cui

Tie Di

Keqiang Cui

Huiling Cui

Ai Cui

 

Weitere Publikationen von Autoren mit dem selben Namen

Electromagnetic Scattering From Objects Above a Rough Surface Using the Method of Moments With Half-Space Green's Function., , , und . IEEE Trans. Geosci. Remote. Sens., 47 (10): 3399-3405 (2009)Electromagnetic scattering by multiple three-dimensional scatterers buried under multilayered media. II. Numerical implementations and results., , und . IEEE Trans. Geosci. Remote. Sens., 36 (2): 535-546 (1998)Wireless Communications with Programmable Metasurface: New Paradigms, Opportunities, and Challenges on Transceiver Design., , , , , , , und . CoRR, (2019)Three-dimensional imaging of buried objects in very lossy earth by inversion of VETEM data., , , , und . IEEE Trans. Geosci. Remote. Sens., 41 (10): 2197-2210 (2003)Deep learning of system reliability under multi-factor influence based on space fault tree., und . Neural Comput. Appl., 31 (9): 4761-4776 (2019)The function structure analysis theory based on the factor space and space fault tree., , und . Clust. Comput., 20 (2): 1387-1399 (2017)Study on the relationship between system reliability and influencing factors under big data and multi-factors., und . Clust. Comput., 22 (Supplement): 10275-10297 (2019)Simplificaiton of linear short-gravity waves for modeling sea clutter returns due to Bragg scattering at X band., , , , und . IGARSS, Seite 2680-2683. IEEE, (2016)DeepNIS: Deep Neural Network for Nonlinear Electromagnetic Inverse Scattering., , , , , und . CoRR, (2018)Deep Learning Designs of Anisotropic Metasurfaces in Ultrawideband Based on Generative Adversarial Networks., , , , , , und . Adv. Intell. Syst., 2 (9): 2000068 (2020)