Zobrazeno 1 - 10
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pro vyhledávání: '"KNOLL P"'
In this paper, we explore the integration of Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG) to enhance automated design and software development in the automotive industry. We present two case studies: a standardization compli
Externí odkaz:
http://arxiv.org/abs/2411.09590
This paper presents a monitoring framework that infers the level of autonomous vehicle (AV) collision risk based on its object detector's performance using only monocular camera images. Essentially, the framework takes two sets of predictions produce
Externí odkaz:
http://arxiv.org/abs/2411.08060
Across many plasma applications, the underlying phenomena and interactions among the involved processes are known to exhibit three-dimensional characteristics. Furthermore, the global properties and evolution of plasma systems are often determined by
Externí odkaz:
http://arxiv.org/abs/2411.05759
Latest progress on the reduced-order particle-in-cell scheme: I. refining the underlying formulation
The particle-in-cell (PIC) method is a well-established and widely used kinetic plasma modelling approach that provides a hybrid Lagrangian-Eulerian approach to solve the plasma kinetic equation. Despite its power in capturing details of the underlyi
Externí odkaz:
http://arxiv.org/abs/2411.05751
Autor:
Zhang, Liding, Cai, Kuanqi, Sun, Zewei, Bing, Zhenshan, Wang, Chaoqun, Figueredo, Luis, Haddadin, Sami, Knoll, Alois
Recent advancements in robotics have transformed industries such as manufacturing, logistics, surgery, and planetary exploration. A key challenge is developing efficient motion planning algorithms that allow robots to navigate complex environments wh
Externí odkaz:
http://arxiv.org/abs/2410.19414
We compute the MU-based syntomic cohomologies, mod $(p,v_1,\cdots,v_{n+1})$, of all $\mathbb{E}_1$-MU-algebra forms of connective Morava K-theory k(n). As qualitative consequences, we deduce the Lichtenbaum--Quillen conjecture, telescope conjecture,
Externí odkaz:
http://arxiv.org/abs/2410.07048
Autor:
Amjad, Haadia, Goeller, Kilian, Seitz, Steffen, Knoll, Carsten, Bajwa, Naseer, Tetzlaff, Ronald, Malik, Muhammad Imran
Deep learning is actively being used in biometrics to develop efficient identification and verification systems. Handwritten signatures are a common subset of biometric data for authentication purposes. Generative adversarial networks (GANs) learn fr
Externí odkaz:
http://arxiv.org/abs/2410.06041
Autor:
Atzori, Francesco, Rebufello, Enrico, Violaris, Maria, Knoll, Laura T., Alhajri, Abdulla, Avella, Alessio, Gramegna, Marco, Marletto, Chiara, Vedral, Vlatko, Piacentini, Fabrizio, Degiovanni, Ivo Pietro, Genovese, Marco
Quantum theory is notoriously counterintuitive, and yet remains entirely self-consistent when applied universally. Here we uncover a new manifestation of its unusual consequences. We demonstrate, theoretically and experimentally (by means of polariza
Externí odkaz:
http://arxiv.org/abs/2409.20480
We provide a unifying framework for studying variants of topological Hochschild homology such as Real topological Hochschild homology. Associated to a crossed simplicial group $\Delta G$, a category that generalizes Connes' cyclic category, we introd
Externí odkaz:
http://arxiv.org/abs/2409.18187
Ontological commitment, i.e., used concepts, relations, and assumptions, are a corner stone of qualitative reasoning (QR) models. The state-of-the-art for processing raw inputs, though, are deep neural networks (DNNs), nowadays often based off from m
Externí odkaz:
http://arxiv.org/abs/2409.17109