Zobrazeno 1 - 10
of 2 721
pro vyhledávání: '"P. Salva"'
This paper presents a methodological approach based on the use of complex networks to analyze the structure and content of curricula. We analyze the concept network built from the final year of a particular high school Physics curriculum, as well as
Externí odkaz:
http://arxiv.org/abs/2412.15929
Autor:
Steele, Julian A., Strohbeen, Patrick J., Verdi, Carla, Baktash, Ardeshir, Danilenko, Alisa, Chen, Yi-Hsun, van Dijk, Jechiel, Wang, Lianzhou, Demler, Eugene, Salmani-Rezaie, Salva, Jacobson, Peter, Shabani, Javad
Introducing superconductivity into group IV elements by doping has long promised a pathway to introduce quantum functionalities into well-established semiconductor technologies. The non-equilibrium hyperdoping of group III atoms into Si or Ge has suc
Externí odkaz:
http://arxiv.org/abs/2412.15421
Climate change is increasing the frequency of extreme precipitation events, making weather disasters such as flooding and landslides more likely. The ability to accurately nowcast precipitation is therefore becoming more critical for safeguarding soc
Externí odkaz:
http://arxiv.org/abs/2412.02723
High temperatures promote kinetic processes which can drive crystal synthesis towards ideal thermodynamic conditions, thereby realizing samples of superior quality. While accessing very high temperatures in thin-film epitaxy is becoming increasingly
Externí odkaz:
http://arxiv.org/abs/2411.02741
Understanding the origins of complexity is a fundamental challenge with implications for biological and technological systems. Network theory emerges as a powerful tool to model complex systems. Networks are an intuitive framework to represent inter-
Externí odkaz:
http://arxiv.org/abs/2410.16158
Convolutional Neural Networks (CNNs) have been utilised in many image and video processing applications. The convolution operator, also known as a spatial filter, is usually a linear operation, but this linearity compromises essential features and de
Externí odkaz:
http://arxiv.org/abs/2409.05837
Autor:
Sanchez-Vital, Roger, Casals, Lluís, Heer-Salva, Bartomeu, Vidal, Rafael, Gomez, Carles, Garcia-Villegas, Eduard
Publikováno v:
Sensors 2024, 24, 5770.
Long-range frequency hopping spread spectrum (LR-FHSS) is a pivotal advancement in the LoRaWAN protocol that is designed to enhance the network's capacity and robustness, particularly in densely populated environments. Although energy consumption is
Externí odkaz:
http://arxiv.org/abs/2408.04908
Data-driven deep learning models are transforming global weather forecasting. It is an open question if this success can extend to climate modeling, where the complexity of the data and long inference rollouts pose significant challenges. Here, we pr
Externí odkaz:
http://arxiv.org/abs/2406.14798
Autor:
Arroyo-Polonio, Antonio, Kehrig, Carolina, Paramo, Jorge Iglesias, Vílchez, José Manuel, Montero, Enrique Pérez, Puertas, Salva Duarte, Gallego, Jesus, Reverte, Daniel, Lavers, Antonio Cabrera
Publikováno v:
A&A 687, A77 (2024)
This study delves into the intricate kinematic behavior of ionized gas within IZw18, a galaxy known for its remarkably low metallicity and proximity. Leveraging data from MEGARA/GTC, we meticulously analyzed the galaxy's structure and dynamics using
Externí odkaz:
http://arxiv.org/abs/2404.13956
Autor:
Salva, Sebastien, Sue, Jarod
The focus of this paper is on automating the security testing of RESTful APIs. The testing stage of this specific kind of components is often performed manually, and this is yet considered as a long and difficult activity. This paper proposes an auto
Externí odkaz:
http://arxiv.org/abs/2403.03701