Zobrazeno 1 - 10
of 11 760
pro vyhledávání: '"van Dalen"'
Autor:
Paul, Jithu, van Dalen, Karel N., Faragau, Andrei B., van Leijden, Rens J., Ouggaali, Mouad, Metrikine, Andrei V.
In this paper, we study the stability of a simple model of a Hyperloop vehicle resulting from the interaction between electromagnetic and aeroelastic forces for both constant and periodically varying coefficients (i.e., parametric excitation). For th
Externí odkaz:
http://arxiv.org/abs/2411.05607
Autor:
van Dalen, Joyce N. D., Levan, Andrew J., Jonker, Peter G., Malesani, Daniele B., Izzo, Luca, Sarin, Nikhil, Quirola-Vásquez, Jonathan, Sánchez, Daniel Mata, Postigo, Antonio de Ugarte, van Hoof, Agnes P. C., Torres, Manuel A. P., Schulze, Steve, Littlefair, Stuart P., Chrimes, Ashley, Ravasio, Maria E., Bauer, Franz E., Martin-Carrillo, Antonio, Fraser, Morgan, van der Horst, Alexander J., Jakobsson, Pall, O'Brien, Paul, De Pasquale, Massimiliano, Pugliese, Giovanna, Sollerman, Jesper, Tanvir, Nial R., Zafar, Tayyaba, Anderson, Joseph P., Galbany, Lluís, Gal-Yam, Avishay, Gromadzki, Mariusz, Muller-Bravo, Tomas E., Ragosta, Fabio, Terwel, Jacco H.
Detections of fast X-ray transients (FXTs) have been accrued over the last few decades. However, their origin has remained mysterious. There is now rapid progress thanks to timely discoveries and localisations with the Einstein Probe mission. Early r
Externí odkaz:
http://arxiv.org/abs/2409.19056
Automatic speech recognition (ASR) with an encoder equipped with self-attention, whether streaming or non-streaming, takes quadratic time in the length of the speech utterance. This slows down training and decoding, increase their cost, and limit the
Externí odkaz:
http://arxiv.org/abs/2409.07165
Self-supervised learning (SSL) models usually require weeks of pre-training with dozens of high-end GPUs. These models typically have a multi-headed self-attention (MHSA) context encoder. However, MHSA takes quadratic time and space in the input leng
Externí odkaz:
http://arxiv.org/abs/2407.13377
Autor:
Kamermans Pauline, Blanco Ainhoa, van Dalen Pim, Engelsma Marc, Bakker Nienke, Jacobs Pascalle, Dubbeldam Marco, Sambade Inés M., Vera Manuel, Martinez Paulino
Publikováno v:
Aquatic Living Resources, Vol 36, p 11 (2023)
Native (flat) oyster (Ostrea edulis) beds, once a major component of the North Sea, largely disappeared from the region in the late 19th century. Flat oyster restoration is taking place at a number of locations in the North Sea. When flat oyster beds
Externí odkaz:
https://doaj.org/article/b15ab5c1ecf44181b9f326ec238c2531
Publikováno v:
Aquatic Living Resources, Vol 36, p 6 (2023)
Innovative techniques are needed to assess oyster performance in flat oyster reef restoration projects. A valve gape monitor, a device that continuously measures opening and closing of live bivalves, can potentially be used as an effective method to
Externí odkaz:
https://doaj.org/article/6eb7ba682cc94440a8006d3dbb4ce0d2
Publikováno v:
Nordicom Review, Vol 40, Iss 2, Pp 157-168 (2019)
Externí odkaz:
https://doaj.org/article/9cf3fa3c85384bc98163ae585dfca89a
Autor:
Xu, Jie, Saravanan, Karthikeyan, van Dalen, Rogier, Mehmood, Haaris, Tuckey, David, Ozay, Mete
Federated learning (FL) allows clients to collaboratively train a global model without sharing their local data with a server. However, clients' contributions to the server can still leak sensitive information. Differential privacy (DP) addresses suc
Externí odkaz:
http://arxiv.org/abs/2405.06368
Autor:
Levan, Andrew J., Jonker, Peter G., Saccardi, Andrea, Malesani, Daniele Bjørn, Tanvir, Nial R., Izzo, Luca, Heintz, Kasper E., Sánchez, Daniel Mata, Quirola-Vásquez, Jonathan, Torres, Manuel A. P., Vergani, Susanna D., Schulze, Steve, Rossi, Andrea, D'Avanzo, Paolo, Gompertz, Benjamin, Martin-Carrillo, Antonio, Postigo, Antonio de Ugarte, Schneider, Benjamin, Yuan, Weimin, Ling, Zhixing, Zhang, Wenjie, Mao, Xuan, Liu, Yuan, Sun, Hui, Xu, Dong, Zhu, Zipei, Fernández, José Feliciano Agüí, Amati, Lorenzo, Bauer, Franz E., Campana, Sergio, Carotenuto, Francesco, Chrimes, Ashley, van Dalen, Joyce N. D., D'Elia, Valerio, Della Valle, Massimo, De Pasquale, Massimiliano, Dhillon, Vikram S., Galbany, Lluís, Gaspari, Nicola, Gianfagna, Giulia, Gomboc, Andreja, Habeeb, Nusrin, van Hoof, Agnes P. C., Hu, Youdong, Jakobsson, Pall, Julakanti, Yashaswi, Korth, Judith, Kouveliotou, Chryssa, Laskar, Tanmoy, Littlefair, Stuart P., Maiorano, Elisabetta, Mao, Jirong, Melandri, Andrea, Miller, M. Coleman, Mukherjee, Tamal, Oates, Samantha R., O'Brien, Paul, Palmerio, Jesse T., Parviainen, Hannu, Pieterse, Daniëlle L. A., Piranomonte, Silvia, Piro, Luigi, Pugliese, Giovanna, Ravasio, Maria E., Rayson, Ben, Salvaterra, Ruben, Sánchez-Ramírez, Rubén, Sarin, Nikhil, Shilling, Samuel P. R., Starling, Rhaana L. C., Tagliaferri, Gianpiero, Thakur, Aishwarya Linesh, Thöne, Christina C., Wiersema, Klaas, Worssam, Isabelle, Zafar, Tayyaba
The nature of the minute-to-hour long Fast X-ray Transients (FXTs) localised by telescopes such as Chandra, Swift, and XMM-Newton remains mysterious, with numerous models suggested for the events. Here, we report multi-wavelength observations of EP24
Externí odkaz:
http://arxiv.org/abs/2404.16350
Autor:
Granqvist, Filip, Song, Congzheng, Cahill, Áine, van Dalen, Rogier, Pelikan, Martin, Chan, Yi Sheng, Feng, Xiaojun, Krishnaswami, Natarajan, Jina, Vojta, Chitnis, Mona
Federated learning (FL) is an emerging machine learning (ML) training paradigm where clients own their data and collaborate to train a global model, without revealing any data to the server and other participants. Researchers commonly perform experim
Externí odkaz:
http://arxiv.org/abs/2404.06430