Zobrazeno 1 - 10
of 9 186
pro vyhledávání: '"P, Dini"'
Autor:
Green, Calum, Ahmed, Sharif, Marathe, Shashidhara, Perera, Liam, Leonardi, Alberto, Gmyrek, Killian, Dini, Daniele, Houx, James Le
Machine learning techniques are being increasingly applied in medical and physical sciences across a variety of imaging modalities; however, an important issue when developing these tools is the availability of good quality training data. Here we pre
Externí odkaz:
http://arxiv.org/abs/2409.07322
Autor:
Sedar, Roshan, Kalalas, Charalampos, Dini, Paolo, Vazquez-Gallego, Francisco, Alonso-Zarate, Jesus, Alonso, Luis
Vehicular mobility underscores the need for collaborative misbehavior detection at the vehicular edge. However, locally trained misbehavior detection models are susceptible to adversarial attacks that aim to deliberately influence learning outcomes.
Externí odkaz:
http://arxiv.org/abs/2409.02844
Autor:
Rahman, Muhammad Rizwanur, Ewen, James P., Shen, Li, Heyes, D. M., Dini, Daniele, Smith, E. R.
Surfactant transport is central to a diverse range of natural phenomena, and for many practical applications in physics and engineering. Surprisingly, this process remains relatively poorly understood at the molecular scale. This study investigates t
Externí odkaz:
http://arxiv.org/abs/2408.08327
Autor:
Yang, Jiaqian, Buglia, Henrique, Sillekens, Eric, Tan, Mingming, Hazarika, Pratim, Pratiwi, Dini, Sohanpal, Ronit, Jarmolovičius, Mindaugas, Aparecido, Romulo, Stolte, Ralf, Forysiak, Wladek, Bayvel, Polina, Killey, Robert I.
The accuracy of a recently-developed closed-form GN nonlinear interference model is evaluated in experimental 1065 km S+C+L band WDM transmission with backward Raman pumping. The model accurately estimates the nonlinear interference and ASE with tota
Externí odkaz:
http://arxiv.org/abs/2407.12476
Autor:
Dhasade, Akash, Dini, Paolo, Guerra, Elia, Kermarrec, Anne-Marie, Miozzo, Marco, Pires, Rafael, Sharma, Rishi, de Vos, Martijn
Decentralized learning (DL) offers a powerful framework where nodes collaboratively train models without sharing raw data and without the coordination of a central server. In the iterative rounds of DL, models are trained locally, shared with neighbo
Externí odkaz:
http://arxiv.org/abs/2407.01283
Cooperation plays a fundamental role in societal and biological domains, and the population structure profoundly shapes the dynamics of evolution. Practically, individuals behave either altruistically or egoistically in multiple groups, such as relat
Externí odkaz:
http://arxiv.org/abs/2404.03305
In multiple federated learning schemes, a random subset of clients sends in each round their model updates to the server for aggregation. Although this client selection strategy aims to reduce communication overhead, it remains energy and computation
Externí odkaz:
http://arxiv.org/abs/2403.07450
Autor:
Feng, Zilin, Georgiou, Anastasis, Evangelou, Simos A., Yu, Min, Jaimoukha, Imad M, Dini, Daniele
This paper proposes a robust model predictive control-based solution for the recently introduced series active variable geometry suspension (SAVGS) to improve the ride comfort and road holding of a quarter car. In order to close the gap between the n
Externí odkaz:
http://arxiv.org/abs/2401.06650
Autor:
Maffioli, Luca, Ewen, James P., Smith, Edward R., Varghese, Sleeba, Daivis, Peter J., Dini, Daniele, Todd, B. D.
We present TTCF4LAMMPS, a toolkit for performing non-equilibrium molecular dynamics (NEMD) simulations to study fluid behaviour at low shear rates using the LAMMPS software. By combining direct NEMD simulations and the transient-time correlation func
Externí odkaz:
http://arxiv.org/abs/2312.02990
Autor:
Rahman, Muhammad Rizwanur, Shen, Li, Ewen, James P., Heyes, D. M., Dini, Daniele, Smith, E. R.
Thin films, bubbles and membranes are central to numerous natural and engineering processes, i.e., in thin-film solar cells, coatings, biosensors, electrowetting displays, foams, and emulsions. Yet, the characterization and an adequate understanding
Externí odkaz:
http://arxiv.org/abs/2311.00419