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pro vyhledávání: '"Žagar, P."'
The reduced-complexity models developed by Edward Lorenz are widely used in atmospheric and climate sciences to study nonlinear aspect of dynamics and to demonstrate new methods for numerical weather prediction. A set of inviscid Lorenz models descri
Externí odkaz:
http://arxiv.org/abs/2409.07920
Autor:
Zagar, Philipp, Ravi, Vishnu, Aalami, Lauren, Krusche, Stephan, Aalami, Oliver, Schmiedmayer, Paul
The ability of large language models (LLMs) to transform, interpret, and comprehend vast quantities of heterogeneous data presents a significant opportunity to enhance data-driven care delivery. However, the sensitive nature of protected health infor
Externí odkaz:
http://arxiv.org/abs/2408.04680
Publikováno v:
J. Atmos. Sci., 81, 1833-1848 (2024)
Equatorial Kelvin waves can be affected by subtropical Rossby wave dynamics. Previous research has demonstrated the Kelvin wave growth in response to subtropical forcing and the resonant growth due to eddy momentum flux convergence. However, the rela
Externí odkaz:
http://arxiv.org/abs/2407.17937
Autor:
Liu, Mingyu, Yurtsever, Ekim, Brede, Marc, Meng, Jun, Zimmer, Walter, Zhou, Xingcheng, Zagar, Bare Luka, Cui, Yuning, Knoll, Alois
Accurate and effective 3D object detection is critical for ensuring the driving safety of autonomous vehicles. Recently, state-of-the-art two-stage 3D object detectors have exhibited promising performance. However, these methods refine proposals indi
Externí odkaz:
http://arxiv.org/abs/2405.06782
This paper addresses the problem of target search and tracking using a fleet of cooperating UAVs evolving in some unknown region of interest containing an a priori unknown number of moving ground targets. Each drone is equipped with an embedded Compu
Externí odkaz:
http://arxiv.org/abs/2403.15113
By interpreting planar polynomial curves as complex-valued functions of a real parameter, an inner product, norm, metric function, and the notion of orthogonality may be defined for such curves. This approach is applied to the complex pre-image polyn
Externí odkaz:
http://arxiv.org/abs/2402.09850
Autor:
Schmiedmayer, Paul, Rao, Adrit, Zagar, Philipp, Ravi, Vishnu, Zahedivash, Aydin, Fereydooni, Arash, Aalami, Oliver
Objective: To enhance health literacy and accessibility of health information for a diverse patient population by developing a patient-centered artificial intelligence (AI) solution using large language models (LLMs) and Fast Healthcare Interoperabil
Externí odkaz:
http://arxiv.org/abs/2402.01711
Autor:
Liu, Mingyu, Yurtsever, Ekim, Fossaert, Jonathan, Zhou, Xingcheng, Zimmer, Walter, Cui, Yuning, Zagar, Bare Luka, Knoll, Alois C.
Autonomous driving has rapidly developed and shown promising performance due to recent advances in hardware and deep learning techniques. High-quality datasets are fundamental for developing reliable autonomous driving algorithms. Previous dataset su
Externí odkaz:
http://arxiv.org/abs/2401.01454
Autor:
Zhou, Xingcheng, Liu, Mingyu, Yurtsever, Ekim, Zagar, Bare Luka, Zimmer, Walter, Cao, Hu, Knoll, Alois C.
The applications of Vision-Language Models (VLMs) in the field of Autonomous Driving (AD) have attracted widespread attention due to their outstanding performance and the ability to leverage Large Language Models (LLMs). By incorporating language dat
Externí odkaz:
http://arxiv.org/abs/2310.14414
Deformable linear objects are vastly represented in our everyday lives. It is often challenging even for humans to visually understand them, as the same object can be entangled so that it appears completely different. Examples of deformable linear ob
Externí odkaz:
http://arxiv.org/abs/2310.08904