Zobrazeno 1 - 10
of 3 530
pro vyhledávání: '"A, Farcas"'
High-performance computing (HPC) has revolutionized our ability to perform detailed simulations of complex real-world processes. A prominent contemporary example is from aerospace propulsion, where HPC is used for rotating detonation rocket engine (R
Externí odkaz:
http://arxiv.org/abs/2407.09994
Autor:
Chen, Chen, Mrini, Khalil, Charles, Kemeberly, Lifset, Ella T., Hogarth, Michael, Moore, Alison A., Weibel, Nadir, Farcas, Emilia
Ecological momentary assessment (EMA) is used to evaluate subjects' behaviors and moods in their natural environments, yet collecting real-time and self-report data with EMA is challenging due to user burden. Integrating voice into EMA data collectio
Externí odkaz:
http://arxiv.org/abs/2407.05203
We derive an advanced surrogate model for predicting turbulent transport at the edge of tokamaks driven by electron temperature gradient (ETG) modes.Our derivation is based on a recently developed sensitivity-driven sparse grid interpolation approach
Externí odkaz:
http://arxiv.org/abs/2405.09474
Autor:
Chen, Chen, Lifset, Ella T., Han, Yichen, Roy, Arkajyoti, Hogarth, Michael, Moore, Alison A., Farcas, Emilia, Weibel, Nadir
While standalone Voice Assistants (VAs) are promising to support older adults' daily routine and wellbeing management, onboarding and setting up these devices can be challenging. Although some older adults choose to seek assistance from technicians a
Externí odkaz:
http://arxiv.org/abs/2403.09043
This paper investigates non-intrusive Scientific Machine Learning (SciML) Reduced-Order Models (ROMs) for plasma turbulence simulations. In particular, we focus on Operator Inference (OpInf) to build low-cost physics-based ROMs from data for such sim
Externí odkaz:
http://arxiv.org/abs/2401.05972
This paper focuses on the construction of accurate and predictive data-driven reduced models of large-scale numerical simulations with complex dynamics and sparse training datasets. In these settings, standard, single-domain approaches may be too ina
Externí odkaz:
http://arxiv.org/abs/2311.00883
Autor:
Chen, Chen, Lifset, Ella T., Han, Yichen, Roy, Arkajyoti, Hogarth, Michael, Moore, Alison A., Farcas, Emilia, Weibel, Nadir
While voice user interfaces offer increased accessibility due to hands-free and eyes-free interactions, older adults often have challenges such as constructing structured requests and perceiving how such devices operate. Voice-first user interfaces h
Externí odkaz:
http://arxiv.org/abs/2307.07723
Autor:
Vlad Stefan Pop, Mihaela Iancu, Adrian Bogdan Țigu, Anda Adam, Gheorghe Tomoaia, Anca Daniela Farcas, Anca Simona Bojan, Andrada Parvu
Publikováno v:
Current Issues in Molecular Biology, Vol 46, Iss 9, Pp 9330-9341 (2024)
Multiple myeloma, the disease characterized by the malignant proliferation of plasma cells that invades the bone marrow, produces osteolytic lesions and secretes monoclonal proteins. Several biomarkers have been shown to represent important tools in
Externí odkaz:
https://doaj.org/article/71fae60ff4754b9f84b456bce3812586
Autor:
Hanga-Farcas, Alina1 (AUTHOR) alina.hanga@didactic.uoradea.ro, Fritea, Luminita2 (AUTHOR) lfritea@uoradea.ro, Filip, Gabriela Adriana3 (AUTHOR) gabriela.filip@umfcluj.ro, Clichici, Simona3 (AUTHOR), Vicas, Laura Gratiela4 (AUTHOR) lvicas@uoradea.ro, Toma, Vlad-Alexandru5 (AUTHOR) vlad.toma@ubbcluj.ro, Marian, Eleonora4 (AUTHOR) emarian@uoradea.ro, Gligor, Felicia Gabriela6 (AUTHOR) feligligor@yahoo.fr, Abu Dayyih, Wael7 (AUTHOR) wabudayyih@mutah.edu.jo, Muresan, Mariana Eugenia2 (AUTHOR) mmuresan@auoradea.ro
Publikováno v:
International Journal of Molecular Sciences. Dec2024, Vol. 25 Issue 23, p12577. 15p.
Autor:
Farcas, Ionut-Gabriel, Peherstorfer, Benjamin, Neckel, Tobias, Jenko, Frank, Bungartz, Hans-Joachim
Multi-fidelity Monte Carlo methods leverage low-fidelity and surrogate models for variance reduction to make tractable uncertainty quantification even when numerically simulating the physical systems of interest with high-fidelity models is computati
Externí odkaz:
http://arxiv.org/abs/2211.10835