Zobrazeno 1 - 10
of 29 178
pro vyhledávání: '"Echeverría"'
Autor:
Jin, Yueqiao, Yang, Kaixun, Yan, Lixiang, Echeverria, Vanessa, Zhao, Linxuan, Alfredo, Riordan, Milesi, Mikaela, Fan, Jie, Li, Xinyu, Gašević, Dragan, Martinez-Maldonado, Roberto
Learning analytics dashboards (LADs) simplify complex learner data into accessible visualisations, providing actionable insights for educators and students. However, their educational effectiveness has not always matched the sophistication of the tec
Externí odkaz:
http://arxiv.org/abs/2411.15597
Autor:
Yan, Lixiang, Gašević, Dragan, Zhao, Linxuan, Echeverria, Vanessa, Jin, Yueqiao, Martinez-Maldonado, Roberto
Multimodal Learning Analytics (MMLA) leverages advanced sensing technologies and artificial intelligence to capture complex learning processes, but integrating diverse data sources into cohesive insights remains challenging. This study introduces a n
Externí odkaz:
http://arxiv.org/abs/2411.15590
Recent advances in deep learning have shown significant potential for solving combinatorial optimization problems in real-time. Unlike traditional methods, deep learning can generate high-quality solutions efficiently, which is crucial for applicatio
Externí odkaz:
http://arxiv.org/abs/2410.15714
Autor:
Paliwal, A., De Petris, M., Ferragamo, A., Adam, R., Ade, P., Ajeddig, H., André, P., Artis, E., Aussel, H., Bartalucci, I., Beelen, A., Benoît, A., Berta, S., Bing, L., Bourrion, O., Calvo, M., Catalano, A., De Luca, F., Désert, F. -X., Doyle, S., Driessen, E. F. C., Ejlali, G., 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., Moyer-Anin, A., Muñoz-Echeverría, M., 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., Wicker, R., Zylka, R.
Having a detailed knowledge of the intracluster medium (ICM) to infer the exact cluster physics such as the cluster dynamical state is crucial for cluster-based cosmological studies. This knowledge limits the accuracy and precision of mass estimation
Externí odkaz:
http://arxiv.org/abs/2410.11668
Autor:
Ejlali, G., Tabatabaei, F. S., Roussel, H., Adam, R., Ade, P., Ajeddig, H., André, P., Artis, E., Aussel, H., Baes, M., Beelen, A., Benoît, A., Berta, S., Bing, L., Bourrion, O., Calvo, M., Catalano, A., De Looze, I., De Petris, M., Désert, F. -X., Doyle, S., Driessen, E. F. C., Galliano, F., Gomez, A., Goupy, J., Jones, A. P., Hanser, C., Hughes, A., 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., Monfardini, A., Moyer-Anin, A., Muñoz-Echeverría, M., Nersesian, A., Pantoni, L., Paradis, D., Perotto, L., Pisano, G., Ponthieu, N., Revéret, V., Rigby, A. J., Ritacco, A., Romero, C., Ruppin, F., Schuster, K., Sievers, A., Smith, M. W. L., Tedros, J., Tucker, C., Xilouris, E. M., Ysard, N., Zylka, R.
The millimeter continuum emission from galaxies provides important information about cold dust, its distribution, heating, and role in their InterStellar Medium (ISM). This emission also carries an unknown portion of the free-free and synchrotron rad
Externí odkaz:
http://arxiv.org/abs/2410.09827
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
Visual learning analytics (VLA) is becoming increasingly adopted in educational technologies and learning analytics dashboards to convey critical insights to students and educators. Yet many students experienced difficulties in comprehending complex
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