E-LIB Suche - Ergebnisse für: Basarab, A.

1

Innovative meat products from non-traditional sources:

Kinash, S. ; Koval, H. ; Basarab, І....
Scientific Messenger of LNU of Veterinary Medicine and Biotechnologies. 25 (2023) 100 - p. 26-34 , 2023

Link: https://doi.org/10.32718..

2

Association between fecal methanogen species with methane p..:

Manafiazar, G. ; Fitzsimmons, C. ; Zhou, M....
Animal. 15 (2021) 8 - p. 100304 , 2021

Link: https://doi.org/10.1016/..

3

Ultrasound And Magnetic Resonance Image Fusion Using A Patc..:

, In: 2020 IEEE International Conference on Image Processing (ICIP),

Mansouri, O. El ; Basarab, A. ; Figueiredo, M. A. T... - p. 403-407 , 2020

Link: https://doi.org/10.1109/..

4

Tensor-Factorization-Based 3d Single Image Super-Resolution..:

, In: 2019 IEEE International Conference on Image Processing (ICIP),

Hatvani, J. ; Basarab, A. ; Michetti, J... - p. 2871-2875 , 2019

Link: https://doi.org/10.1109/..

5

Spatio-temporal compressed quantitative acoustic microscopy:

, In: 2019 IEEE International Ultrasonics Symposium (IUS),

Kim, J-H. ; Mamou, J. ; Kouame, D... - p. 1156-1159 , 2019

Link: https://doi.org/10.1109/..

6

Adaptive Coded Aperture Design by Motion Estimation using C..:

, In: 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP),

Diaz, N. ; Noriega-Wandurraga, C. ; Basarab, A... - p. 445-449 , 2019

Link: https://doi.org/10.1109/..

7

High-resolution and high-sensitivity blood flow estimation ..:

, In: 2019 IEEE International Ultrasonics Symposium (IUS),

Shen, H. ; Barthelemy, C. ; Khoury, E.... - p. 467-470 , 2019

Link: https://doi.org/10.1109/..

8

Numerical Simulation of Magnetohydrodynamic Blood Flow thro..:

, In: 2019 PhotonIcs & Electromagnetics Research Symposium - Spring (PIERS-Spring),

Basarab, M. A. ; Konnova, N. S. ; Basarab, D. A.. - p. 355-361 , 2019

Link: https://doi.org/10.1109/..

9

Robust Cardiac Motion Estimation With Dictionary Learning a..:

, In: 2019 IEEE International Ultrasonics Symposium (IUS),

Ouzir, N. ; Bioucas-Dias, J. ; Basarab, A.. - p. 2326-2329 , 2019

Link: https://doi.org/10.1109/..

10

Energy utilization in cattle with steady state and non-stea..:

Schaefer, A.L. ; Ominski, K. ; Thompson, S....
Heliyon. 4 (2018) 10 - p. e00843 , 2018

Link: https://doi.org/10.1016/..

11

Relationship between residual feed intake and radiated heat..:

Thompson, S. ; Schaefer, A.L. ; Crow, G.H....
Journal of Thermal Biology. 78 (2018) - p. 304-311 , 2018

Link: https://doi.org/10.1016/..

12

287 Genomic prediction for residual feed intake and its com..:

Wang, Y ; Zhang, F ; Chen, L...
Journal of Animal Science. 96 (2018) suppl_3 - p. 107-107 , 2018

Link: https://doi.org/10.1093/..

13

PSIV-26 Late-Breaking: Evaluation of a genome-based sorting..:

Akanno, E ; Ekine-Dzivenu, C ; Chen, L...
Journal of Animal Science. 96 (2018) suppl_3 - p. 133-133 , 2018

Link: https://doi.org/10.1093/..

14

Development and validation of a small SNP panel for feed ef..:

Abo-Ismail, M K ; Lansink, N ; Akanno, E...
Journal of Animal Science. 96 (2018) 2 - p. 375-397 , 2018

Link: https://doi.org/10.1093/..

15

292 Genetic trend for feed efficiency, growth and carcass t..:

Ekine-Dzivenu, C ; Akanno, E ; Chen, L...
Journal of Animal Science. 96 (2018) suppl_3 - p. 109-110 , 2018

Link: https://doi.org/10.1093/..