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Hovad, E.
7  Ergebnisse:
Personensuche X
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1

Application of Mask R-CNN for lab-based X-ray diffraction c..:

Fang, H. ; Hovad, E. ; Zhang, Y..
Materials Characterization.  201 (2023)  - p. 112983 , 2023
Link: https://doi.org/10.1016/..
 
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2

Deep learning for improving non-destructive grain mapping i..:

Fang, H. ; Hovad, E. ; Zhang, Y....
IUCrJ.  8 (2021)  5 - p. 719-731 , 2021
Link: https://doi.org/10.1107/..
 
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3

Simulating the DISAMATIC process using the discrete element..:

Hovad, E. ; Spangenberg, J. ; Larsen, P....
Powder Technology.  303 (2016)  - p. 228-240 , 2016
Link: https://doi.org/10.1016/..
 
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4

Flow Dynamics of green sand in the DISAMATIC moulding proce..:

Hovad, E ; Larsen, P ; Walther, J H..
IOP Conference Series: Materials Science and Engineering.  84 (2015)  - p. 012023 , 2015
Link: https://doi.org/10.1088/..
 
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5

Application of Mask R-CNN for lab-based X-ray diffraction c..:

Fang, H ; Hovad, E ; Zhang, Y.
https://orbit.dtu.dk/en/publications/3f7a3eb8-35f8-4e6f-ba5a-7e040ac459f0.  , 2023
Link: https://orbit.dtu.dk/en/..
 
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6

Deep learning for improving non-destructive grain mapping i..:

Fang, H ; Hovad, E ; Zhang, Y...
https://orbit.dtu.dk/en/publications/a3bdd70f-c37d-465b-a24e-0eef3cf6bf02.  , 2021
Link: https://orbit.dtu.dk/en/..
 
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7

Deep learning for improving non-destructive grain mapping i..:

H. Fang ; E. Hovad ; Y. Zhang...
http://scripts.iucr.org/cgi-bin/paper?S2052252521005480.  , 2021
Link: https://doi.org/10.1107/..
 
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