Zobrazeno 1 - 10
of 10 830
pro vyhledávání: '"An, Linan"'
Learners sharing similar implicit cognitive states often display comparable observable problem-solving performances. Leveraging collaborative connections among such similar learners proves valuable in comprehending human learning. Motivated by the su
Externí odkaz:
http://arxiv.org/abs/2411.02066
Autor:
Husidic, Edin, Wijsen, Nicolas, Linan, Luis, Brchnelova, Michaela, Vainio, Rami, Poedts, Stefaan
Solar energetic particles (SEPs) associated with solar flares and coronal mass ejections (CMEs) are key agents of space weather phenomena, posing severe threats to spacecraft and astronauts. Recent observations by Parker Solar Probe (PSP) indicate th
Externí odkaz:
http://arxiv.org/abs/2411.00738
The historical interaction sequences of users plays a crucial role in training recommender systems that can accurately predict user preferences. However, due to the arbitrariness of user behavior, the presence of noise in these sequences poses a chal
Externí odkaz:
http://arxiv.org/abs/2409.17402
Autor:
Wang, H. P., Poedts, S., Lani, A., Brchnelova, M., Baratashvili, T., Linan, L., Zhang, F., Hou, D. W., Zhou, Y. H.
MHD coronal models are critical in the Sun-to-Earth model chain and the most complex and computationally intensive component, particularly the time-evolving coronal models, typically driven by a series of time-evolving photospheric magnetograms. Ther
Externí odkaz:
http://arxiv.org/abs/2409.02043
SIP-IFVM: An efficient time-accurate implicit MHD model of corona and CME with strong magnetic field
Autor:
Wang, H. P., Guo, J. H., Yang, L. P., Poedts, S., Zhang, F., Lani, A., Baratashvili, T., Linan, L., Lin, R., Guo, Y.
CMEs are one of the main drivers of space weather. However, robust and efficient numerical modeling of the initial stages of CME propagation and evolution process in the sub-Alfvenic corona is still lacking. Based on the highly efficient quasi-steady
Externí odkaz:
http://arxiv.org/abs/2409.02022
Recent advancements in Graph Neural Networks (GNNs) have spurred an upsurge of research dedicated to enhancing the explainability of GNNs, particularly in critical domains such as medicine. A promising approach is the self-explaining method, which ou
Externí odkaz:
http://arxiv.org/abs/2408.07340
Publikováno v:
A&A 691, A146 (2024)
Rising concerns about the impact of space weather-related disruptions demand modelling and reliable forecasting of coronal mass ejection (CME) impacts. In this study, we demonstrate the application of the modified Miller-Turner (mMT) model implemente
Externí odkaz:
http://arxiv.org/abs/2408.03882
Solar wind modelling has become a crucial area of study due to the increased dependence of modern society on technology, navigation, and power systems. Accurate space weather forecasts can predict upcoming threats to Earth's geospace. In this study,
Externí odkaz:
http://arxiv.org/abs/2407.17903
Autor:
Guo, J. H., Linan, L., Poedts, S., Guo, Y., Schmieder, B., Lani, A., Ni, Y. W., Brchnelova, M., Perri, B., Baratashvili, T., Li, S. T., Chen, P. F.
Coronal mass ejections (CMEs) stand as intense eruptions of magnetized plasma from the Sun, playing a pivotal role in driving significant changes of the heliospheric environment. Deducing the properties of CMEs from their progenitors in solar source
Externí odkaz:
http://arxiv.org/abs/2407.09457
Few-Shot Relation Extraction (FSRE), a subtask of Relation Extraction (RE) that utilizes limited training instances, appeals to more researchers in Natural Language Processing (NLP) due to its capability to extract textual information in extremely lo
Externí odkaz:
http://arxiv.org/abs/2407.08967