E-LIB Suche - Ergebnisse für: Moghaddamnia, Sanam

1

Functional quality assessment of whole-body vibration train..:

Moghaddamnia, Sanam ; Rofallski, Robin ; Luhmann, Thomas.
Medical Engineering & Physics. 111 (2023) - p. 103935 , 2023

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

2

Monitoring the Rehabilitation Progress Using a DCNN and Kin..:

, In: 2020 28th European Signal Processing Conference (EUSIPCO),

Alcaraz, Javier Conte ; Moghaddamnia, Sanam ; Penner, Maxim. - p. 1333-1337 , 2021

Link: https://doi.org/10.23919..

3

Efficiency of deep neural networks for joint angle modeling..:

Conte Alcaraz, Javier ; Moghaddamnia, Sanam ; Peissig, Jürgen
EURASIP Journal on Advances in Signal Processing. 2021 (2021) 1 - p. , 2021

Link: https://doi.org/10.1186/..

4

A Machine Learning Approach to Predict the Sepsis Status: A..:

, In: IFMBE Proceedings; CMBEBIH 2021,

Babur, Sebahattin ; Moghaddamnia, Sanam ; Bozkurt, Mehmet Recep - p. 172-183 , 2021

Link: https://doi.org/10.1007/..

5

Efficiency of the Memory Polynomial Model in Realizing Digi..:

, In: 2019 27th European Signal Processing Conference (EUSIPCO),

Alcaraz, Javier Conte ; Moghaddamnia, Sanam ; Fuhrwerk, Martin. - p. 1-5 , 2019

Link: https://doi.org/10.23919..

6

Deviations in frequency and mode of vibration in whole-body..:

Kaeding, Tobias S. ; Moghaddamnia, Sanam ; Kück, Momme.
Medical Engineering & Physics. 51 (2018) - p. 84-90 , 2018

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

7

On the efficiency of PAPR reduction schemes deployed for DR..:

Moghaddamnia, Sanam ; Waal, Albert ; Fuhrwerk, Martin..
EURASIP Journal on Wireless Communications and Networking. 2016 (2016) 1 - p. , 2016

Link: https://doi.org/10.1186/..

8

Functional quality assessment of whole-body vibration train..:

Moghaddamnia, Sanam ; Rofallski, Robin ; Luhmann, Thomas.
10.1016/j.medengphy.2022.103935. , 2023

Link: https://hdl.handle.net/2..

9

Efficiency of deep neural networks for joint angle modeling..:

Conte Alcaraz, Javier ; Moghaddamnia, Sanam ; Peissig, Jürgen
DOI:https://doi.org/10.1186/s13634-020-00715-1. , 2021

Link: https://www.repo.uni-han..

10

Efficiency of deep neural networks for joint angle modeling..:

Alcaraz, Javier Conte ; Moghaddamnia, Sanam ; Peissig, Jürgen
10.1186/s13634-020-00715-1. , 2021

Link: https://hdl.handle.net/2..

11

Mobile Quantification and Therapy Course Tracking for Gait ..:

Alcaraz, Javier Conte ; Moghaddamnia, Sanam ; Peissig, Jürgen
http://arxiv.org/abs/1707.03275. , 2017

Link: http://arxiv.org/abs/170..

12

Scattered Pilot-Based Channel Estimation for Channel Adapti..:

Fuhrwerk, Martin ; Moghaddamnia, Sanam ; Peissig, Jürgen
DOI:https://doi.org/10.1109/TWC.2017.2651806. , 2017

Link: http://www.repo.uni-hann..

13

On the efficiency of PAPR reduction schemes deployed for DR..:

Moghaddamnia, Sanam ; Waal, Albert ; Fuhrwerk, Martin..
DOI:https://doi.org/10.1186/s13638-016-0747-5. , 2016

Link: http://www.repo.uni-hann..

14

Statistical signal analysis and estimation algorithms for m..:

Moghaddamnia, Sanam
urn:nbn:de:gbv:089-71803760X1. , 2012

Link: https://www.repo.uni-han..

15

Efficiency of deep neural networks for joint angle modeling..:

Javier Conte Alcaraz ; Sanam Moghaddamnia ; Jürgen Peissig
https://doi.org/10.1186/s13634-020-00715-1. , 2021

Link: https://doi.org/10.1186/..