Zobrazeno 1 - 10
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pro vyhledávání: '"Segarra A"'
Autor:
Abrams, D., Albataineh, H., Aljawrneh, B. S., Alsalmi, S., Androic, D., Aniol, K., Armstrong, W., Arrington, J., Atac, H., Averett, T., Gayoso, C. Ayerbe, Bai, X., Bane, J., Barcus, S., Beck, A., Bellini, V., Bhatt, H., Bhetuwal, D., Biswas, D., Blyth, D., Boeglin, W., Bulumulla, D., Butler, J., Camsonne, A., Carmignotto, M., Castellanos, J., Chen, J. -P., Cloët, I. C., Cohen, E. O., Covrig, S., Craycraft, K., Cruz-Torres, R., Dongwi, B., Duran, B., Dutta, D., Fomin, N., Fuchey, E., Gal, C., Gautam, T. N., Gilad, S., Gnanvo, K., Gogami, T., Gomez, J., Gu, C., Habarakada, A., Hague, T., Hansen, J. -O., Hattawy, M., Hauenstein, F., Higinbotham, D. W., Holt, R. J., Hughes, E. W., Hyde, C., Ibrahim, H., Jian, S., Joosten, S., Karki, A., Karki, B., Katramatou, A. T., Keith, C., Keppel, C., Khachatryan, M., Khachatryan, V., Khanal, A., Kievsky, A., King, D., King, P. M., Korover, I., Kulagin, S. A., Kumar, K. S., Kutz, T., Lashley-Colthirst, N., Li, S., Li, W., Liu, H., Liuti, S., Liyanage, N., Markowitz, P., McClellan, R. E., Meekins, D., Beck, S. Mey-Tal, Meziani, Z. -E., Michaels, R., Mihovilovic, M., Nelyubin, V., Nguyen, D., Nuruzzaman, Nycz, M., Obrecht, R., Olson, M., Owen, V. F., Pace, E., Pandey, B., Pandey, V., Paolone, M., Papadopoulou, A., Park, S., Paul, S., Petratos, G. G., Petti, R., Piasetzky, E., Pomatsalyuk, R., Premathilake, S., Puckett, A. J. R., Punjabi, V., Ransome, R. D., Rashad, M. N. H., Reimer, P. E., Riordan, S., Roche, J., Salmè, G., Santiesteban, N., Sawatzky, B., Scopetta, S., Schmidt, A., Schmookler, B., Segal, J., Segarra, E. P., Shahinyan, A., Širca, S., Sparveris, N., Su, T., Suleiman, R., Szumila-Vance, H., Tadepalli, A. S., Tang, L., Tireman, W., Tortorici, F., Urciuoli, G. M., Wojtsekhowski, B., Wood, S., Ye, Z. H., Ye, Z. Y., Zhang, J.
Measurements of the EMC effect in the tritium and helium-3 mirror nuclei are reported. The data were obtained by the MARATHON Jefferson Lab experiment, which performed deep inelastic electron scattering from deuterium and the three-body nuclei, using
Externí odkaz:
http://arxiv.org/abs/2410.12099
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
Graph learning is the fundamental task of estimating unknown graph connectivity from available data. Typical approaches assume that not only is all information available simultaneously but also that all nodes can be observed. However, in many real-wo
Externí odkaz:
http://arxiv.org/abs/2409.08760
Graph neural networks (GNNs) have become a workhorse approach for learning from data defined over irregular domains, typically by implicitly assuming that the data structure is represented by a homophilic graph. However, recent works have revealed th
Externí odkaz:
http://arxiv.org/abs/2409.08676
Covariance-based data processing is widespread across signal processing and machine learning applications due to its ability to model data interconnectivities and dependencies. However, harmful biases in the data may become encoded in the sample cova
Externí odkaz:
http://arxiv.org/abs/2409.08558
Autor:
Erfaniantaghvayi, Negar, Zhao, Zhongyuan, Chan, Kevin, Verma, Gunjan, Swami, Ananthram, Segarra, Santiago
A mixture of streaming and short-lived traffic presents a common yet challenging scenario for Backpressure routing in wireless multi-hop networks. Although state-of-the-art shortest-path biased backpressure (SP-BP) can significantly improve the laten
Externí odkaz:
http://arxiv.org/abs/2408.12702
As digital twins (DTs) to physical communication systems, network simulators can aid the design and deployment of communication networks. However, time-consuming simulations must be run for every new set of network configurations. Learnable digital t
Externí odkaz:
http://arxiv.org/abs/2408.09040
To reduce the latency of Backpressure (BP) routing in wireless multi-hop networks, we propose to enhance the existing shortest path-biased BP (SP-BP) and sojourn time-based backlog metrics, since they introduce no additional time step-wise signaling
Externí odkaz:
http://arxiv.org/abs/2407.09753
Field-Effect Transistors with graphene channels or GFETs are an interesting alternative for the detection of analytes in biological fluids since the electrical behavior of the channel changes when exposed to a sample (among other detection strategies
Externí odkaz:
http://arxiv.org/abs/2407.09656
We study the problem of path planning with soft homology constraints on a surface topologically equivalent to a disk with punctures. Specifically, we propose an algorithm, named $\Hstar$, for the efficient computation of a path homologous to a user-p
Externí odkaz:
http://arxiv.org/abs/2406.19551