Zobrazeno 1 - 10
of 116 605
pro vyhledávání: '"Fredrik, A."'
This paper presents a robust position controller for electric power assisted steering and steer-by-wire force-feedback systems. A position controller is required in steering systems for haptic feedback control, advanced driver assistance systems and
Externí odkaz:
http://arxiv.org/abs/2412.19161
Autor:
Gou, Junyang, Salberg, Arnt-Børre, Shahvandi, Mostafa Kiani, Tourian, Mohammad J., Meyer, Ulrich, Boergens, Eva, Waldeland, Anders U., Velicogna, Isabella, Dahl, Fredrik, Jäggi, Adrian, Schindler, Konrad, Soja, Benedikt
Accurate uncertainty information associated with essential climate variables (ECVs) is crucial for reliable climate modeling and understanding the spatiotemporal evolution of the Earth system. In recent years, geoscience and climate scientists have b
Externí odkaz:
http://arxiv.org/abs/2412.17506
Autor:
Magirr, Dominic, Öhrn, Fredrik
The introduction of checkpoint inhibitors in immuno-oncology has raised questions about the suitability of the log-rank test as the default primary analysis method in confirmatory studies, particularly when survival curves exhibit non-proportional ha
Externí odkaz:
http://arxiv.org/abs/2412.14942
Future wireless communication systems are envisioned to support ultra-reliable and low-latency communication (URLLC), which will enable new applications such as compute offloading, wireless real-time control, and reliable monitoring. Distributed mult
Externí odkaz:
http://arxiv.org/abs/2412.12646
Time series forecasting is a crucial challenge with significant applications in areas such as weather prediction, stock market analysis, and scientific simulations. This paper introduces an embedded decomposed transformer, 'EDformer', for multivariat
Externí odkaz:
http://arxiv.org/abs/2412.12227
Autor:
Rosén, Tomas, Yao, Zisheng, Tejbo, Jonas, Wegele, Patrick, Rogalinski, Julia K., Nilsson, Frida, Mom, Kannara, Hu, Zhe, McDonald, Samuel A., Nygård, Kim, Mazzolari, Andrea, Groetsch, Alexander, Gordeyeva, Korneliya, Söderberg, L. Daniel, Lundell, Fredrik, Wittberg, Lisa Prahl, Asimakopoulou, Eleni Myrto, Villanueva-Perez, Pablo
Multiphase flows, characterized by the presence of particles, bubbles, or droplets dispersed within a fluid, are ubiquitous in natural and industrial processes. Studying densely dispersed flows in 4D (3D + time) at very small scales without introduci
Externí odkaz:
http://arxiv.org/abs/2412.09368
Autor:
Matsson, Anton, Stempfle, Lena, Rao, Yaochen, Margolin, Zachary R., Litman, Heather J., Johansson, Fredrik D.
Modeling policies for sequential clinical decision-making based on observational data is useful for describing treatment practices, standardizing frequent patterns in treatment, and evaluating alternative policies. For each task, it is essential that
Externí odkaz:
http://arxiv.org/abs/2412.07895
Time series forecasting is an important challenge with significant applications in areas such as weather prediction, stock market analysis, scientific simulations and industrial process analysis. In this work, we introduce LMS-AutoTSF, a novel time s
Externí odkaz:
http://arxiv.org/abs/2412.06866
This paper introduces the counter-intuitive generalization results of overfitting pre-trained large language models (LLMs) on very small datasets. In the setting of open-ended text generation, it is well-documented that LLMs tend to generate repetiti
Externí odkaz:
http://arxiv.org/abs/2412.04318
To facilitate early detection of breast cancer, there is a need to develop short-term risk prediction schemes that can prescribe personalized/individualized screening mammography regimens for women. In this study, we propose a new deep learning archi
Externí odkaz:
http://arxiv.org/abs/2412.03081