Zobrazeno 1 - 10
of 899 936
pro vyhledávání: '"Be��a, Pedro"'
Autor:
Abdallah, J., Agaras, M. N., Ahmad, A., Bartos, P., Guardia, A. Berrocal, Bogavac, D., Argos, F. Carrio, Alberich, L. Cerda, Chargeishvili, B., Muiño, P. Conde, Cortes-Gonzalez, A., Gomes, A., Davidek, T., Djobava, T., Durglishvili, A., Epari, S., Facini, G., Faltova, J., Medeiros, M. Fontes, Glatzer, J., Delegido, A. J. Gomez, Harkusha, S., Correia, A. M. Henriques, Kholodenko, M., Klimek, P., Korolkov, I., Maio, A., Martins, F. M. Pedro, Saraiva, J. G., Menke, S., Petukhova, K., Minashvili, I. A., Mlynarikova, M., Mosidze, M., Mosulishvili, N., Nemecek, S., Pedro, R., Pereira, B. C. Pinheiro, Pleskot, V., Polacek, S., Qin, Y., Rosten, R., Santos, H., Schaefer, D., Scuri, F., Smirnov, Y, Sanchez, C. A. Solans, Solodkov, A. A., Solovyanov, O. V., Valero, A., Wilkens, H. G., Zakareishvili, T.
This paper presents a study of the radiation hardness of the hadronic Tile Calorimeter of the ATLAS experiment in the LHC Run 2. Both the plastic scintillators constituting the detector active media and the wavelength-shifting optical fibres collecti
Externí odkaz:
http://arxiv.org/abs/2412.15944
Autor:
Rodriguez, Pedro Sales, Robinson, John M., Jepsen, Paul Niklas, He, Zhiyang, Duckering, Casey, Zhao, Chen, Wu, Kai-Hsin, Campo, Joseph, Bagnall, Kevin, Kwon, Minho, Karolyshyn, Thomas, Weinberg, Phillip, Cain, Madelyn, Evered, Simon J., Geim, Alexandra A., Kalinowski, Marcin, Li, Sophie H., Manovitz, Tom, Amato-Grill, Jesse, Basham, James I., Bernstein, Liane, Braverman, Boris, Bylinskii, Alexei, Choukri, Adam, DeAngelo, Robert, Fang, Fang, Fieweger, Connor, Frederick, Paige, Haines, David, Hamdan, Majd, Hammett, Julian, Hsu, Ning, Hu, Ming-Guang, Huber, Florian, Jia, Ningyuan, Kedar, Dhruv, Kornjača, Milan, Liu, Fangli, Long, John, Lopatin, Jonathan, Lopes, Pedro L. S., Luo, Xiu-Zhe, Macrì, Tommaso, Marković, Ognjen, Martínez-Martínez, Luis A., Meng, Xianmei, Ostermann, Stefan, Ostroumov, Evgeny, Paquette, David, Qiang, Zexuan, Shofman, Vadim, Singh, Anshuman, Singh, Manuj, Sinha, Nandan, Thoreen, Henry, Wan, Noel, Wang, Yiping, Waxman-Lenz, Daniel, Wong, Tak, Wurtz, Jonathan, Zhdanov, Andrii, Zheng, Laurent, Greiner, Markus, Keesling, Alexander, Gemelke, Nathan, Vuletić, Vladan, Kitagawa, Takuya, Wang, Sheng-Tao, Bluvstein, Dolev, Lukin, Mikhail D., Lukin, Alexander, Zhou, Hengyun, Cantú, Sergio H.
Realizing universal fault-tolerant quantum computation is a key goal in quantum information science. By encoding quantum information into logical qubits utilizing quantum error correcting codes, physical errors can be detected and corrected, enabling
Externí odkaz:
http://arxiv.org/abs/2412.15165
Autor:
Bhandari, Shailendra, Lencastre, Pedro, Mathema, Rujeena, Szorkovszky, Alexander, Yazidi, Anis, Lind, Pedro
Accurate modeling of eye gaze dynamics is essential for advancement in human-computer interaction, neurological diagnostics, and cognitive research. Traditional generative models like Markov models often fail to capture the complex temporal dependenc
Externí odkaz:
http://arxiv.org/abs/2412.04184
Autor:
DeAndres-Tame, Ivan, Tolosana, Ruben, Melzi, Pietro, Vera-Rodriguez, Ruben, Kim, Minchul, Rathgeb, Christian, Liu, Xiaoming, Gomez, Luis F., Morales, Aythami, Fierrez, Julian, Ortega-Garcia, Javier, Zhong, Zhizhou, Huang, Yuge, Mi, Yuxi, Ding, Shouhong, Zhou, Shuigeng, He, Shuai, Fu, Lingzhi, Cong, Heng, Zhang, Rongyu, Xiao, Zhihong, Smirnov, Evgeny, Pimenov, Anton, Grigorev, Aleksei, Timoshenko, Denis, Asfaw, Kaleb Mesfin, Low, Cheng Yaw, Liu, Hao, Wang, Chuyi, Zuo, Qing, He, Zhixiang, Shahreza, Hatef Otroshi, George, Anjith, Unnervik, Alexander, Rahimi, Parsa, Marcel, Sébastien, Neto, Pedro C., Huber, Marco, Kolf, Jan Niklas, Damer, Naser, Boutros, Fadi, Cardoso, Jaime S., Sequeira, Ana F., Atzori, Andrea, Fenu, Gianni, Marras, Mirko, Štruc, Vitomir, Yu, Jiang, Li, Zhangjie, Li, Jichun, Zhao, Weisong, Lei, Zhen, Zhu, Xiangyu, Zhang, Xiao-Yu, Biesseck, Bernardo, Vidal, Pedro, Coelho, Luiz, Granada, Roger, Menotti, David
Synthetic data is gaining increasing popularity for face recognition technologies, mainly due to the privacy concerns and challenges associated with obtaining real data, including diverse scenarios, quality, and demographic groups, among others. It a
Externí odkaz:
http://arxiv.org/abs/2412.01383
Autor:
Boelts, Jan, Deistler, Michael, Gloeckler, Manuel, Tejero-Cantero, Álvaro, Lueckmann, Jan-Matthis, Moss, Guy, Steinbach, Peter, Moreau, Thomas, Muratore, Fabio, Linhart, Julia, Durkan, Conor, Vetter, Julius, Miller, Benjamin Kurt, Herold, Maternus, Ziaeemehr, Abolfazl, Pals, Matthijs, Gruner, Theo, Bischoff, Sebastian, Krouglova, Nastya, Gao, Richard, Lappalainen, Janne K., Mucsányi, Bálint, Pei, Felix, Schulz, Auguste, Stefanidi, Zinovia, Rodrigues, Pedro, Schröder, Cornelius, Zaid, Faried Abu, Beck, Jonas, Kapoor, Jaivardhan, Greenberg, David S., Gonçalves, Pedro J., Macke, Jakob H.
Scientists and engineers use simulators to model empirically observed phenomena. However, tuning the parameters of a simulator to ensure its outputs match observed data presents a significant challenge. Simulation-based inference (SBI) addresses this
Externí odkaz:
http://arxiv.org/abs/2411.17337
Adaptive Mixed-Criticality (AMC) is a fixed-priority preemptive scheduling algorithm for mixed-criticality hard real-time systems. It dominates many other scheduling algorithms for mixed-criticality systems, but does so at the cost of occasionally dr
Externí odkaz:
http://arxiv.org/abs/2411.00572
Autor:
Morão, Pedro, Santinha, Joao, Forghani, Yasna, Loução, Nuno, Gouveia, Pedro, Figueiredo, Mario A. T.
Deep learning (DL) models in medical imaging face challenges in generalizability and robustness due to variations in image acquisition parameters (IAP). In this work, we introduce a novel method using conditional denoising diffusion generative models
Externí odkaz:
http://arxiv.org/abs/2410.23835
Recent spacecraft mission concepts propose larger payloads that have lighter, less rigid structures. For large lightweight structures, the natural frequencies of their vibration modes may fall within the attitude controller bandwidth, threatening the
Externí odkaz:
http://arxiv.org/abs/2410.07376
Autor:
Silva, Inês Oliveira e, Jesus, Sérgio, Ferreira, Hugo, Saleiro, Pedro, Sousa, Inês, Bizarro, Pedro, Soares, Carlos
Data used by automated decision-making systems, such as Machine Learning models, often reflects discriminatory behavior that occurred in the past. These biases in the training data are sometimes related to label noise, such as in COMPAS, where more A
Externí odkaz:
http://arxiv.org/abs/2410.06214
Publikováno v:
WORKSHOP DE VIS\~AO COMPUTACIONAL (WVC) 2020
The network traffic classification allows improving the management, and the network services offer taking into account the kind of application. The future network architectures, mainly mobile networks, foresee intelligent mechanisms in their architec
Externí odkaz:
http://arxiv.org/abs/2412.19360