Forschungsbereich Scientific Computing and Modelling

Organization Name (de) Name der Organisation (de)
E101-03 - Forschungsbereich Scientific Computing and Modelling
 
Code Kennzahl
E101-03
 
Type of Organization Organisationstyp
Research Division
Parent OrgUnit Übergeordnete Organisation
 
Active Aktiv
 


Results 101-120 of 1430 (Search time: 0.003 seconds).

PreviewAuthor(s)TitleTypeIssue Date
101Sipovac, Milena ; Körner, Andreas ; Modiz, Corinna Advantages of Randomized Assignments in Online Exams in Mathematics Education for Engineering and Physics during the COVID-19 PandemicPräsentation Presentation2021
102Schöbinger, Markus ; Schöberl, Joachim ; Hollaus, Karl An Equilibrated Error Estimator for the Multiscale Finite Element Method of a 2-D Eddy Current ProblemArtikel Article 2021
103Rattay, Frank ; Tafvici, Pegah Blockage of pain by electrical spinal cord stimulationArtikel Article 2021
104Karimi, Ahmad ; Taghizadeh, Leila ; Heitzinger, Clemens Optimal Bayesian experimental design for electrical impedance tomography in medical imagingArtikel Article 2021
105Schöbinger, Markus ; Hollaus, Karl Homogenization of the Eddy Current Problem in 3D Using Effective Materials";Präsentation Presentation2021
106Sipovac, Milena ; Körner, Andreas Simulation Study on Methods for Modeling Elastic CollisionsKonferenzbeitrag Inproceedings2021
107Modiz, Corinna ; Edthofer, Alexander ; Körner, Andreas Heuristische Untersuchung von Online-Prüfungen an der TU WienKonferenzbeitrag Inproceedings2021
108Schöbinger, Markus ; Hollaus, Karl A Hierarchical Error Estimator for the MSFEM for the Eddy Current Problem in 3DArtikel Article 2021
109Schöbinger, Markus ; Tsukerman, Igor ; Hollaus, Karl Effective Medium Transformation: The Case of Eddy Currents in Laminated Iron CoresArtikel Article 2021
110Karimi, Ahmad ; Taghizadeh, Leila ; Heitzinger, Clemens Optimal Bayesian experimental design for electrical impedance tomography in medical imagingKonferenzbeitrag Inproceedings2021
111Rippinger, C. ; Bicher, M. ; Urach, C. ; Brunmeir, D. ; Weibrecht, N. ; Zauner, G. ; Sroczynski, G. ; Jahn, B. ; Mühlberger, N. ; Siebert, U. ; Popper, N. Evaluation of undetected cases during the COVID-19 epidemic in AustriaArtikel Article 2021
112Heitzinger, Clemens ; Morales Escalant, Jose Alberto Homogenization of Boundary Layers in the Boltzmann--Poisson SystemArtikel Article 2021
113Emrich, Stefan ; Popper, Nikolas How an Agent-Based Population Model Became a Key-Element of the Austrian Effort Against COVID-19Artikel Article 2021
114Raghuram, Vineeth ; Werginz, Paul ; Fried, Shelley I. ; Timko, Brian P. Morphological Factors that Underlie Neural Sensitivity to Stimulation in the RetinaArtikel Article 2021
115Zeckl, Julia ; Wastian, Matthias ; Brunmeir, Dominik ; Rappelsberger, Andrea ; Arseniev, Sergei B. ; Adlassnig, Klaus-Peter From Machine Learning to Knowledge-Based Decision Support—A Predictive-Model-Markup-Language-to-Arden-Syntax Transformer for Decision TreesBuchbeitrag Book Contribution2021
116Danczul, Tobias ; Schöberl, Joachim A reduced basis method for fractional diffusion operators IIArtikel Article 2021
117Tanzer, Thomas ; Sajedi, Sogand ; Rattay, Frank Impact of electrode placement on spiking probability of a stimulated human auditory nerve fiberKonferenzbeitrag Inproceedings2021
118Werginz, Paul ; Raghuram, Vineeth ; Fried, Shelley Customized AIS properties in OFF-a T retinal ganglion cellsPräsentation Presentation2021
119Werginz, Paul ; Raghuram, Vineeth ; Fried, Shelley How morphological features influence thresholds to artificial stimulation in RGCsPräsentation Presentation2021
120Yaman, Mehmet Akif ; Rattay, Frank ; Subasi, Abdulhamit Comparison of Bagging and Boosting Ensemble Machine Learning Methods for Face RecognitionKonferenzbeitrag Inproceedings2021