Zobrazeno 1 - 10
of 9 441
pro vyhledávání: '"A. Murari"'
Autor:
R. Rossi, M. Gelfusa, T. Craciunescu, L. Spolladore, I. Wyss, E. Peluso, J. Vega, C. F. Maggi, J. Mailloux, M. Maslov, A. Murari, on behalf of JET Contributors
Publikováno v:
Matter and Radiation at Extremes, Vol 8, Iss 4, Pp 046903-046903-21 (2023)
To produce fusion reactions efficiently, thermonuclear plasmas have to reach extremely high temperatures, which is incompatible with their coming into contact with material surfaces. Confinement of plasmas using magnetic fields has progressed signifi
Externí odkaz:
https://doaj.org/article/8c10b399057f4182a32a812868c1849c
Autor:
T. Craciunescu, A. Murari, E. Peluso, P.T. Lang, G. Harrer, L. Spolladore, M. Gelfusa, JET Contributors, the ASDEX Upgrade Team
Publikováno v:
Frontiers in Physics, Vol 10 (2022)
The control of macroscopic instabilities, such as Edge Localised Modes (ELMs) and sawteeth, is becoming an essential ingredient in the optimisation of scenarios in preparation for the next generation of tokamaks and the demonstrative reactor. Various
Externí odkaz:
https://doaj.org/article/4032a3df3ced45b7a8d181e0e89e23bc
Continual learning and machine unlearning are crucial challenges in machine learning, typically addressed separately. Continual learning focuses on adapting to new knowledge while preserving past information, whereas unlearning involves selectively f
Externí odkaz:
http://arxiv.org/abs/2408.11374
This paper considers one of the fundamental parallel-in-time methods for the solution of ordinary differential equations, Parareal, and extends it by adopting a neural network as a coarse propagator. We provide a theoretical analysis of the convergen
Externí odkaz:
http://arxiv.org/abs/2408.09756
Autor:
C. Sandrini, C.M. Lombardi, V. Zambelli, R. Zanarotti, R. Raffaelli, M.P. Franchi, N. Papadopoulos, C. Di Pace, S. Hoxha, A. Murari, L. Chamitava, M.E. Zanolin, G. Faggian, F.L. Ribichini, L. Rossetti, G.B. Luciani
Publikováno v:
International Journal of Cardiology Congenital Heart Disease, Vol 7, Iss , Pp 100308- (2022)
Background: Postmortem analysis of fetal heart is crucial but challenging. Alternative techniques to autopsy have been studied. We investigate micro-CT diagnostic accuracy in the analysis of fetal heart coming from early and late termination of pregn
Externí odkaz:
https://doaj.org/article/4eabcfdc11cb4f0d921785181cce4785
Unlearning methods for recommender systems (RS) have emerged to address privacy issues and concerns about legal compliance. However, evolving user preferences and content licensing issues still remain unaddressed. This is particularly true in case of
Externí odkaz:
http://arxiv.org/abs/2405.15328
Autor:
Robinson, Nathaniel R., Dabre, Raj, Shurtz, Ammon, Dent, Rasul, Onesi, Onenamiyi, Monroc, Claire Bizon, Grobol, Loïc, Muhammad, Hasan, Garg, Ashi, Etori, Naome A., Tiyyala, Vijay Murari, Samuel, Olanrewaju, Stutzman, Matthew Dean, Odoom, Bismarck Bamfo, Khudanpur, Sanjeev, Richardson, Stephen D., Murray, Kenton
A majority of language technologies are tailored for a small number of high-resource languages, while relatively many low-resource languages are neglected. One such group, Creole languages, have long been marginalized in academic study, though their
Externí odkaz:
http://arxiv.org/abs/2405.05376
Surface and strain engineering are among the cheaper ways to modulate structure property relations in materials. Due to their compositional flexibilities, MXenes, the family of two-dimensional materials, provide enough opportunity for surface enginee
Externí odkaz:
http://arxiv.org/abs/2403.13543
Autor:
Liu, Fang, Skruszewicz, Slawomir, Späthe, Julian, Zhang, Yinyu, Hell, Sebastian, Ying, Bo, Paulus, Gerhard G., Kiss, Bálint, Murari, Krishna, Khalil, Malin, Cormier, Eric, Jiao, Li Guang, Fritzsche, Stephan, Kübel, Matthias
Strong-field ionization can induce electron motion in both the continuum and the valence shell of the parent ion. Here, we explore their interplay by studying laser-induced electron diffraction (LIED) patterns arising from interaction with the potent
Externí odkaz:
http://arxiv.org/abs/2403.10473
Autor:
Tarun, Ayush K, Chundawat, Vikram S, Mandal, Murari, Tan, Hong Ming, Chen, Bowei, Kankanhalli, Mohan
Quantifying the value of data within a machine learning workflow can play a pivotal role in making more strategic decisions in machine learning initiatives. The existing Shapley value based frameworks for data valuation in machine learning are comput
Externí odkaz:
http://arxiv.org/abs/2402.09288