Zobrazeno 1 - 10
of 27 520
pro vyhledávání: '"Tavakoli, A"'
This paper investigates the impact of rigid communication topologies (RCTs) on the performance of vehicular platoons, aiming to identify beneficial features in RCTs that enhance vehicles behavior. We introduce four performance metrics, focusing on sa
Externí odkaz:
http://arxiv.org/abs/2412.08122
Autor:
Moein, Mohammad, Hajiagha, Mohammadreza Molavi, Faraji, Abdolali, Tavakoli, Mohammadreza, Kismihòk, Gàbor
While Online Learning is growing and becoming widespread, the associated curricula often suffer from a lack of coverage and outdated content. In this regard, a key question is how to dynamically define the topics that must be covered to thoroughly le
Externí odkaz:
http://arxiv.org/abs/2412.07422
The increase in population and economic growth, coupled with accelerated urbanization and suburbanization, has exacerbated traffic congestion and environmental challenges in urban areas. To address these issues, a comprehensive traffic management pro
Externí odkaz:
http://arxiv.org/abs/2412.06128
Autor:
Ou, Yafei, Tavakoli, Mahdi
The irrigation-suction process is a common procedure to rinse and clean up the surgical field in minimally invasive surgery (MIS). In this process, surgeons first irrigate liquid, typically saline, into the surgical scene for rinsing and diluting the
Externí odkaz:
http://arxiv.org/abs/2411.14622
We show that bipartite bound entangled states make possible violations of correlation inequalities in the prepare-and-measure scenario. These inequalities are satisfied by all classical models as well as by all quantum models that do not feature enta
Externí odkaz:
http://arxiv.org/abs/2410.15388
Autor:
Abel, C., Ayres, N. J., Ban, G., Bison, G., Bodek, K., Bondar, V., Bouillaud, T., Bowles, D. C., Caratsch, G. L., Chanel, E., Chen, W., Chiu, P. -J., Crawford, C., Dechenaux, B., Doorenbos, C. B., Emmenegger, S., Ferraris-Bouchez, L., Fertl, M., Flaux, P., Fratangelo, A., Goupillière, D., Griffith, W. C., Höhl, D., Kasprzak, M., Kirch, K., Kletzl, V., Komposch, S. V., Koss, P. A., Krempel, J., Lauss, B., Lefort, T., Lejuez, A., Li, R., Meier, M., Menu, J., Michielsen, K., Mullan, P., Mullins, A., Naviliat-Cuncic, O., Pais, D., Piegsa, F. M., Pignol, G., Quemener, G., Rawlik, M., Rebreyend, D., Rienaecker, I., Ries, D., Roccia, S., Rozpedzik, D., Schnabel, A., Schmidt-Wellenburg, P., Segarra, E. P., Severijns, N., Smith, C. A., Svirina, K., Tavakoli, R., Thorne, J., Touati, S., Vankeirsbilck, J., Virot, R., Voigt, J., Wursten, E., Yazdandoost, N., Zejma, J., Ziehl, N., Zsigmond, G.
We present a coil system designed to generate a highly uniform magnetic field for the n2EDM experiment at the Paul Scherrer Institute. It consists of a main $B_0$ coil and a set of auxiliary coils mounted on a cubic structure with a side length of 27
Externí odkaz:
http://arxiv.org/abs/2410.07914
Conventional wisdom suggests that policy gradient methods are better suited to complex action spaces than action-value methods. However, foundational studies have shown equivalences between these paradigms in small and finite action spaces (O'Donoghu
Externí odkaz:
http://arxiv.org/abs/2410.06317
We introduce semidefinite programming hierarchies for benchmarking relevant entanglement properties in the high-dimensional steering scenario. Firstly, we provide a general method for detecting the entanglement dimensionality through certification of
Externí odkaz:
http://arxiv.org/abs/2410.02554
Autor:
Lin, Hui, Schiffers, Florian, López-Tapia, Santiago, Tavakoli, Neda, Kim, Daniel, Katsaggelos, Aggelos K.
Unsupervised domain adaptation (UDA) is essential for medical image segmentation, especially in cross-modality data scenarios. UDA aims to transfer knowledge from a labeled source domain to an unlabeled target domain, thereby reducing the dependency
Externí odkaz:
http://arxiv.org/abs/2409.18340
Autor:
Moskalenko, Andrey, Bryncev, Alexey, Vatolin, Dmitry, Timofte, Radu, Zhan, Gen, Yang, Li, Tang, Yunlong, Liao, Yiting, Lin, Jiongzhi, Huang, Baitao, Moradi, Morteza, Moradi, Mohammad, Rundo, Francesco, Spampinato, Concetto, Borji, Ali, Palazzo, Simone, Zhu, Yuxin, Sun, Yinan, Duan, Huiyu, Cao, Yuqin, Jia, Ziheng, Hu, Qiang, Min, Xiongkuo, Zhai, Guangtao, Fang, Hao, Cong, Runmin, Lu, Xiankai, Zhou, Xiaofei, Zhang, Wei, Zhao, Chunyu, Mu, Wentao, Deng, Tao, Tavakoli, Hamed R.
This paper reviews the Challenge on Video Saliency Prediction at AIM 2024. The goal of the participants was to develop a method for predicting accurate saliency maps for the provided set of video sequences. Saliency maps are widely exploited in vario
Externí odkaz:
http://arxiv.org/abs/2409.14827