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pro vyhledávání: '"Inácio ÂS"'
The Dzyaloshinskii-Lifshitz-Pitaevskii (DLP) theory of Casimir forces predicts a repulsion between two material surfaces separated by a third medium with an intermediate dielectric function. This DLP repulsion paradigm constitutes an important exampl
Externí odkaz:
http://arxiv.org/abs/2410.18961
Decoder-only LLMs have shown impressive performance in MT due to their ability to learn from extensive datasets and generate high-quality translations. However, LLMs often struggle with the nuances and style required for organisation-specific transla
Externí odkaz:
http://arxiv.org/abs/2409.03454
The radio access network (RAN) is a critical component of modern telecom infrastructure, currently undergoing significant transformation towards disaggregated and open architectures. These advancements are pivotal for integrating intelligent, data-dr
Externí odkaz:
http://arxiv.org/abs/2409.02849
Autor:
Collaboration, SNO, Allega, A., Anderson, M. R., Andringa, S., Askins, M., Auty, D. J., Bacon, A., Baker, J., Barão, F., Barros, N., Bayes, R., Beier, E. W., Bialek, A., Biller, S. D., Blucher, E., Caden, E., Callaghan, E. J., Chen, M., Cheng, S., Cleveland, B., Cookman, D., Corning, J., Cox, M. A., Dehghani, R., Deloye, J., Depatie, M. M., Di Lodovico, F., Dima, C., Dittmer, J., Dixon, K. H., Esmaeilian, M. S., Falk, E., Fatemighomi, N., Ford, R., Gaur, A., González-Reina, O. I., Gooding, D., Grant, C., Grove, J., Hall, S., Hallin, A. L., Hallman, D., Heintzelman, W. J., Helmer, R. L., Hewitt, C., Howard, V., Hreljac, B., Hu, J., Huang, P., Hunt-Stokes, R., Hussain, S. M. A., Inácio, A. S., Jillings, C. J., Kaluzienski, S., Kaptanoglu, T., Khan, H., Kladnik, J., Klein, J. R., Kormos, L. L., Krar, B., Kraus, C., Krauss, C. B., Kroupová, T., Lake, C., Lebanowski, L., Lefebvre, C., Lozza, V., Luo, M., Maio, A., Manecki, S., Maneira, J., Martin, R. D., McCauley, N., McDonald, A. B., Milton, G., Colina, A. Molina, Morris, D., Mubasher, M., Naugle, S., Nolan, L. J., O'Keeffe, H. M., Gann, G. D. Orebi, Page, J., Paleshi, K., Parker, W., Paton, J., Peeters, S. J. M., Pickard, L., Quenallata, B., Ravi, P., Reichold, A., Riccetto, S., Rose, J., Rosero, R., Semenec, I., Simms, J., Skensved, P., Smiley, M., Smith, J., Svoboda, R., Tam, B., Tseng, J., Vázquez-Jáuregui, E., Veinot, J. G. C., Virtue, C. J., Ward, M., Weigand, J. J., Wilson, J. R., Wilson, J. D., Wright, A., Yang, S., Yeh, M., Ye, Z., Yu, S., Zhang, Y., Zuber, K., Zummo, A.
The SNO+ detector operated initially as a water Cherenkov detector. The implementation of a sealed covergas system midway through water data taking resulted in a significant reduction in the activity of $^{222}$Rn daughters in the detector and allowe
Externí odkaz:
http://arxiv.org/abs/2407.17595
Keyword spotting (KWS) is one of the speech recognition tasks most sensitive to the quality of the feature representation. However, the research on KWS has traditionally focused on new model topologies, putting little emphasis on other aspects like f
Externí odkaz:
http://arxiv.org/abs/2407.04662
The effectiveness of univariate forecasting models is often hampered by conditions that cause them stress. A model is considered to be under stress if it shows a negative behaviour, such as higher-than-usual errors or increased uncertainty. Understan
Externí odkaz:
http://arxiv.org/abs/2406.17008
We study the Hubbard and Heisenberg models on hyperbolic lattices with open boundary conditions by means of mean-field approximations, spin-wave theory and quantum Monte Carlo (QMC) simulations. For the Hubbard model we use the auxiliary-field approa
Externí odkaz:
http://arxiv.org/abs/2406.03416
Autor:
Collaboration, SNO, Allega, A., Anderson, M. R., Andringa, S., Askins, M., Auty, D. J., Bacon, A., Baker, J., Barão, F., Barros, N., Bayes, R., Beier, E. W., Bezerra, T. S., Bialek, A., Biller, S. D., Blucher, E., Caden, E., Callaghan, E. J., Chen, M., Cheng, S., Cleveland, B., Cookman, D., Corning, J., Cox, M. A., Dehghani, R., Deloye, J., Depatie, M. M., Di Lodovico, F., Dima, C., Dittmer, J., Dixon, K. H., Esmaeilian, M. S., Falk, E., Fatemighomi, N., Ford, R., Gaur, A., González-Reina, O. I., Gooding, D., Grant, C., Grove, J., Hall, S., Hallin, A. L., Hallman, D., Heintzelman, W. J., Helmer, R. L., Hewitt, C., Howard, V., Hreljac, B., Hu, J., Huang, P., Hunt-Stokes, R., Hussain, S. M. A., Inácio, A. S., Jillings, C. J., Kaluzienski, S., Kaptanoglu, T., Khan, H., Kladnik, J., Klein, J. R., Kormos, L. L., Krar, B., Kraus, C., Krauss, C. B., Kroupová, T., Lake, C., Lebanowski, L., Lefebvre, C., Lozza, V., Luo, M., Maio, A., Manecki, S., Maneira, J., Martin, R. D., McCauley, N., McDonald, A. B., Mills, C., Milton, G., Colina, A. Molina, Morris, D., Morton-Blake, I., Mubasher, M., Naugle, S., Nolan, L. J., O'Keeffe, H. M., Gann, G. D. Orebi, Page, J., Paleshi, K., Parker, W., Paton, J., Peeters, S. J. M., Pickard, L., Quenallata, B., Ravi, P., Reichold, A., Riccetto, S., Rose, J., Rosero, R., Semenec, I., Simms, J., Skensved, P., Smiley, M., Smith, J., Svoboda, R., Tam, B., Tseng, J., Vázquez-Jáuregui, E., Veinot, J. G. C., Virtue, C. J., Ward, M., Weigand, J. J., Wilson, J. R., Wilson, J. D., Wright, A., Yang, S., Yeh, M., Ye, Z., Yu, S., Zhang, Y., Zuber, K., Zummo, A.
The SNO+ collaboration reports its first spectral analysis of long-baseline reactor antineutrino oscillation using 114 tonne-years of data. Fitting the neutrino oscillation probability to the observed energy spectrum yields constraints on the neutrin
Externí odkaz:
http://arxiv.org/abs/2405.19700
Objective: In medical imaging, it is often crucial to accurately assess and correct movement during image-guided therapy. Deformable image registration (DIR) consists in estimating the required spatial transformation to align a moving image with a fi
Externí odkaz:
http://arxiv.org/abs/2405.12791
Recent state-of-the-art forecasting methods are trained on collections of time series. These methods, often referred to as global models, can capture common patterns in different time series to improve their generalization performance. However, they
Externí odkaz:
http://arxiv.org/abs/2404.18537