Zobrazeno 1 - 10
of 7 307
pro vyhledávání: '"Echeverria, P"'
Autor:
Herrera-Poyato, David, Domínguez-Rull, Jacinto, Montes, Rosana, Hernánde, Inés, Barrio, Ignacio, Poblete-Echeverria, Carlos, Tardaguila, Javier, Herrera, Francisco, Herrera-Poyatos, Andrés
Early detection of diseases in crops is essential to prevent harvest losses and improve the quality of the final product. In this context, the combination of machine learning and proximity sensors is emerging as a technique capable of achieving this
Externí odkaz:
http://arxiv.org/abs/2409.17119
Autor:
Yan, Lixiang, Martinez-Maldonado, Roberto, Jin, Yueqiao, Echeverria, Vanessa, Milesi, Mikaela, Fan, Jie, Zhao, Linxuan, Alfredo, Riordan, Li, Xinyu, Gašević, Dragan
Generative AI (GenAI) agents offer a potentially scalable approach to support comprehending complex data visualisations, a skill many individuals struggle with. While data storytelling has proven effective, there is little evidence regarding the comp
Externí odkaz:
http://arxiv.org/abs/2409.11645
Autor:
Garcia-Echeverria, J., Musat, D., Mahsafar, A., Mojaver, K. R., Rolston, D., Cowan, G., Liboiron-Ladouceur, O.
This paper presents a microring resonator-based weight function for neuromorphic photonic applications achieving a record-high precision of 11.3 bits and accuracy of 9.3 bits for 2 Gbps input optical signals. The system employs an all-analog self-ref
Externí odkaz:
http://arxiv.org/abs/2409.06604
Autor:
Moyer-Anin, A., Adam, R., Ade, P., Ajeddig, H., André, P., Artis, E., Aussel, H., Bartalucci, I., Beelen, A., Benoît, A., Berta, S., Bing, L., Bolliet, B., Bourrion, O., Calvo, M., Catalano, A., De Petris, M., Désert, F. -X., Doyle, S., Driessen, E. F. C., Ejlali, G., Ferragamo, A., Gomez, A., Goupy, J., Hanser, C., Katsioli, S., Kéruzoré, F., Kramer, C., Ladjelate, B., Lagache, G., Leclercq, S., Lestrade, J. -F., Macías-Pérez, J. F., Madden, S. C., Maury, A., Mauskopf, P., Mayet, F., Melin, J. -B., Monfardini, A., Muñoz-EcheverrÍa, M., Paliwal, A., Perotto, L., Pisano, G., Pointecouteau, E., Ponthieu, N., Pratt, G. W., Revéret, V., Rigby, A. J., Ritacco, A., Romero, C., Roussel, H., Ruppin, F., Schuster, K., Sievers, A., Tucker, C., Yepes, G.
In Sunyaev-Zeldovich (SZ) cluster cosmology, two tools are needed to be able to exploit data from large scale surveys in the millimeter-wave domain. An accurate description of the IntraCluster Medium (ICM) pressure profile is needed along with the sc
Externí odkaz:
http://arxiv.org/abs/2409.00977
Excitable systems can exhibit a variety of dynamics with different complexity, ranging from a single, stable spiral to spiral defect chaos (SDC), during which spiral waves are continuously formed and destroyed. The corresponding reaction-diffusion mo
Externí odkaz:
http://arxiv.org/abs/2409.00278
Electrical scroll waves may cause life-threatening arrhythmias in the heart, and it is therefore important to control their dynamics. We explore how boundary layer heterogeneities affect the scroll wave dynamics in a semidiscrete electrophysiological
Externí odkaz:
http://arxiv.org/abs/2409.00183
In this paper, a methodology for modelling a dynamic equivalent of an external area is presented. The equivalent consists of a generator with series impedance and a parallel load (generalized Ward equivalent), integrating control systems such as the
Externí odkaz:
http://arxiv.org/abs/2408.06480
Autor:
Pennington, C., Gaowei, M., Echeverria, E. M., Evans-Lutterodt, K., Galdi, A., Juffmann, T., Karkare, S., Maxson, J., van der Molen, S. J., Saha, P., Smedley, J., Stam, W. G., Tromp, R. M.
Alkali antimonides are well established as high efficiency, low intrinsic emittance photocathodes for accelerators and photon detectors. However, conventionally grown alkali antimonide films are polycrystalline with surface disorder and roughness tha
Externí odkaz:
http://arxiv.org/abs/2407.12224
Autor:
Soleti, S. R., Castillo, A., del Barrio-Torregrosa, M., Echeverria, C., Seemann, M., Zerzion, D., Cadenas, J. J. Gómez
Total-body PET (TB-PET) scanners, with axial lengths exceeding 1 meter, provide significantly higher sensitivity than conventional PET scanners due to their greater acceptance of gamma pairs. However, this increased sensitivity often comes from gamma
Externí odkaz:
http://arxiv.org/abs/2406.13598
Testing of machine learning (ML) models is a known challenge identified by researchers and practitioners alike. Unfortunately, current practice for ML model testing prioritizes testing for model performance, while often neglecting the requirements an
Externí odkaz:
http://arxiv.org/abs/2406.08575