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pro vyhledávání: '"Marvin, So"'
Requirements engineering is a knowledge intensive process and crucial for the success of engineering projects. The field of knowledge-based requirements engineering (KBRE) aims to support engineers by providing knowledge to assist in the elicitation,
Externí odkaz:
http://arxiv.org/abs/2411.11582
Autor:
Halupczok, Karin, Ohst, Marvin
We prove that for all constants $a\in\N$, $b\in\Z$, $c,d\in\R$, $c\neq 0$, the fractions $\phi(an+b)/(cn+d)$ lie dense in the interval $]0,D]$ (respectively $[D,0[$ if $c<0$), where $D=a\phi(\gcd(a,b))/(c\gcd(a,b))$. This interval is the largest poss
Externí odkaz:
http://arxiv.org/abs/2411.11065
Mathematical morphology is a part of image processing that uses a window that moves across the image to change certain pixels according to certain operations. The concepts of supremum and infimum play a crucial role here, but it proves challenging to
Externí odkaz:
http://arxiv.org/abs/2411.10141
Autor:
Brunk, Aaron, Fritz, Marvin
The Ohta-Kawasaki equation models the mesoscopic phase separation of immiscible polymer chains that form diblock copolymers, with applications in directed self-assembly for lithography. We perform a mathematical analysis of this model under degenerat
Externí odkaz:
http://arxiv.org/abs/2411.09498
In the short period since the release of ChatGPT in November 2022, large language models (LLMs) have changed the software engineering research landscape. While there are numerous opportunities to use LLMs for supporting research or software engineeri
Externí odkaz:
http://arxiv.org/abs/2411.07668
Autor:
Sextro, Marvin, Dernbach, Gabriel, Standvoss, Kai, Schallenberg, Simon, Klauschen, Frederick, Müller, Klaus-Robert, Alber, Maximilian, Ruff, Lukas
Understanding how deep learning models predict oncology patient risk can provide critical insights into disease progression, support clinical decision-making, and pave the way for trustworthy and data-driven precision medicine. Building on recent adv
Externí odkaz:
http://arxiv.org/abs/2411.07643
In offline reinforcement learning, a policy is learned using a static dataset in the absence of costly feedback from the environment. In contrast to the online setting, only using static datasets poses additional challenges, such as policies generati
Externí odkaz:
http://arxiv.org/abs/2411.04562
Autor:
Gerling, Kathrin, Meiners, Anna-Lena, Schumm, Louisa, Rixen, Jan, Wolf, Marvin, Yildiz, Zeynep, Alexandrovsky, Dmitry, Opp, Merlin
Creating accessible Virtual Reality (VR) is an ongoing concern in the Human-Computer Interaction (HCI) research community. However, there is little reflection on how accessibility should be conceptualized in the context of an experiential technology.
Externí odkaz:
http://arxiv.org/abs/2411.04489
In this work, it is proven the semiglobal exponential stabilization to time-dependent trajectories of the nonisothermal Cahn-Hilliard equations. In the model, the input controls are given by explicit feedback operators that involve appropriate obliqu
Externí odkaz:
http://arxiv.org/abs/2411.04018
Process mining is a technology that helps understand, analyze, and improve processes. It has been present for around two decades, and although initially tailored for business processes, the spectrum of analyzed processes nowadays is evermore growing.
Externí odkaz:
http://arxiv.org/abs/2411.10468