Zobrazeno 1 - 10
of 212
pro vyhledávání: '"ROSU Radu"'
Publikováno v:
Journal of Clinical and Diagnostic Research, Vol 17, Iss 7, Pp 10-12 (2023)
Premature Atrial Contractions (PAC) is frequent arrhythmias. Previously, regarded as a benign electrocardiographic finding, they are now linked to adverse outcomes such as, stroke and all-cause mortality. Furthermore, a high burden of PACs >1.500/24
Externí odkaz:
https://doaj.org/article/15060f3d658e482cba90ba376ec37066
Publikováno v:
Journal of Cardiovascular Emergencies, Vol 7, Iss 2, Pp 57-61 (2021)
A high premature ventricular contractions (PVC) burden can disturb the patient’s condition through fatigue during exercise or palpitations. Hence, researchers started to look for treatment options that decrease PVC burden without the side effects o
Externí odkaz:
https://doaj.org/article/0f1df47566b34b5dbafa91d1f46580e9
Publikováno v:
24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), pp. 173-180, 2022. IEEE
Dataset distillation aims at synthesizing a dataset by a small number of artificially generated data items, which, when used as training data, reproduce or approximate a machine learning (ML) model as if it were trained on the entire original dataset
Externí odkaz:
http://arxiv.org/abs/2403.17130
Autor:
Esser, Felix, Rosu, Radu Alexandru, Cornelißen, André, Klingbeil, Lasse, Kuhlmann, Heiner, Behnke, Sven
With the need to feed a growing world population, the efficiency of crop production is of paramount importance. To support breeding and field management, various characteristics of the plant phenotype need to be measured -- a time-consuming process w
Externí odkaz:
http://arxiv.org/abs/2310.11516
Autor:
Rosu, Radu Alexandru, Behnke, Sven
Neural radiance-density field methods have become increasingly popular for the task of novel-view rendering. Their recent extension to hash-based positional encoding ensures fast training and inference with visually pleasing results. However, density
Externí odkaz:
http://arxiv.org/abs/2211.12562
We present Neural Strands, a novel learning framework for modeling accurate hair geometry and appearance from multi-view image inputs. The learned hair model can be rendered in real-time from any viewpoint with high-fidelity view-dependent effects. O
Externí odkaz:
http://arxiv.org/abs/2207.14067
Semantic segmentation is a core ability required by autonomous agents, as being able to distinguish which parts of the scene belong to which object class is crucial for navigation and interaction with the environment. Approaches which use only one ti
Externí odkaz:
http://arxiv.org/abs/2203.15469
Autor:
Beul, Marius, Schwarz, Max, Quenzel, Jan, Splietker, Malte, Bultmann, Simon, Schleich, Daniel, Rochow, Andre, Pavlichenko, Dmytro, Rosu, Radu Alexandru, Lowin, Patrick, Scheider, Bruno, Schreiber, Michael, Süberkrüb, Finn, Behnke, Sven
The Mohamed Bin Zayed International Robotics Challenge (MBZIRC) 2020 posed diverse challenges for unmanned aerial vehicles (UAVs). We present our four tailored UAVs, specifically developed for individual aerial-robot tasks of MBZIRC, including custom
Externí odkaz:
http://arxiv.org/abs/2201.03844
Publikováno v:
Annals of the Oradea University: Fascicle Management and Technological Engineering, Vol XX (X) (2011)
Externí odkaz:
https://doaj.org/article/e4e8bf92d2394300b0255abcd27720e6
Publikováno v:
Annals of the Oradea University: Fascicle Management and Technological Engineering, Vol XX (X) (2011)
Externí odkaz:
https://doaj.org/article/0b6cba5fc0164bc49bd95c760c0ed0b1