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pro vyhledávání: '"Lohr A"'
Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects
Background: Over the past few decades, the process and methodology of automated question generation (AQG) have undergone significant transformations. Recent progress in generative natural language models has opened up new potential in the generation
Externí odkaz:
http://arxiv.org/abs/2412.04185
Background: Feedback as one of the most influential factors for learning has been subject to a great body of research. It plays a key role in the development of educational technology systems and is traditionally rooted in deterministic feedback defi
Externí odkaz:
http://arxiv.org/abs/2412.03516
Scatterometry is a tested method for measuring periodic semiconductor structures. Since the sizes of modern semiconductor structures have reached the nanoscale regime, the challenge is to determine the shape of periodic nanostructures with sub-nanome
Externí odkaz:
http://arxiv.org/abs/2410.24048
Autor:
Lohr, Nicholas
We construct a unitary operator between Hilbert spaces of generalized eigenfunctions of Coulomb operators and the Laplace-Beltrami operator of hyperbolic space that intertwines their respective Poisson operators on $L^2(\mathbb{S}^{d-1})$. The constr
Externí odkaz:
http://arxiv.org/abs/2408.16248
We present a study of a general spin Hamiltonian with terms up to fourth order. With the coherent states the semiclassical potential is obtained and with catastrophe theory its parameter space is constructed. When the fourth order parameters are larg
Externí odkaz:
http://arxiv.org/abs/2406.18953
Previous studies have shown that eye movement data recorded at 1000 Hz can be used to authenticate individuals. This study explores the effectiveness of eye movement-based biometrics (EMB) by utilizing data from an eye-tracking (ET)-enabled virtual r
Externí odkaz:
http://arxiv.org/abs/2405.03287
This paper performs the crucial work of establishing a baseline for gaze-driven authentication performance to begin answering fundamental research questions using a very large dataset of gaze recordings from 9202 people with a level of eye tracking (
Externí odkaz:
http://arxiv.org/abs/2404.11798
We present an extensive, in-depth analysis of the eye tracking capabilities of the Meta Quest Pro virtual reality headset using a dataset of eye movement recordings collected from 78 participants. In addition to presenting classical signal quality me
Externí odkaz:
http://arxiv.org/abs/2403.07210
We present exact relations between the diffusion coefficients or conductivities, $\kappa_{qq'}/T = \sigma_{qq'}$, of strongly-interacting matter. We show that once the diagonal entries are known in two different charge representations, the off-diagon
Externí odkaz:
http://arxiv.org/abs/2402.16552
What qualities make a feature useful for biometric performance? In prior research, pre-dating the advent of deep learning (DL) approaches to biometric analysis, a strong relationship between temporal persistence, as indexed by the intraclass correlat
Externí odkaz:
http://arxiv.org/abs/2402.16399