Zobrazeno 1 - 10
of 9 818
pro vyhledávání: '"P, Berti"'
Autor:
Berti, Anna, Fernandes, Lennart, Butera, Salvatore Giulio, Recati, Alessio, Wouters, Michiel, Carusotto, Iacopo
We theoretically study stimulated and spontaneous Hawking emission from an analog horizon for spin modes in a two-component Bose-Einstein condensate, both with and without a coherent coupling between the two components. We highlight the conceptual an
Externí odkaz:
http://arxiv.org/abs/2408.17292
Swimming involves a body's capability to navigate through a fluid by undergoing self-deformations. Typically, fluid dynamics are described by the Navier-Stokes equations, and when integrated with a swimming body, it results in a highly intricate mode
Externí odkaz:
http://arxiv.org/abs/2408.14065
Autor:
Bhatnagar, Saakaar, Comerford, Andrew, Xu, Zelu, Polato, Davide Berti, Banaeizadeh, Araz, Ferraris, Alessandro
As the demand for lithium-ion batteries rapidly increases there is a need to design these cells in a safe manner to mitigate thermal runaway. Thermal runaway in batteries leads to an uncontrollable temperature rise and potentially fires, which is a m
Externí odkaz:
http://arxiv.org/abs/2408.11984
Autor:
Berti, Alessandro, Maatallah, Mayssa, Jessen, Urszula, Sroka, Michal, Ghannouchi, Sonia Ayachi
Large Language Models (LLMs) have emerged as powerful conversational interfaces, and their application in process mining (PM) tasks has shown promising results. However, state-of-the-art LLMs struggle with complex scenarios that demand advanced reaso
Externí odkaz:
http://arxiv.org/abs/2408.07720
Autor:
Berti, Leonardo
I developed a neural audio codec model based on the residual quantized variational autoencoder architecture. I train the model on the Slakh2100 dataset, a standard dataset for musical source separation, composed of multi-track audio. The model can se
Externí odkaz:
http://arxiv.org/abs/2408.07020
Autor:
Kourani, Humam, Berti, Alessandro, Henrich, Jasmin, Kratsch, Wolfgang, Weidlich, Robin, Li, Chiao-Yun, Arslan, Ahmad, Schuster, Daniel, van der Aalst, Wil M. P.
In Business Process Management (BPM), effectively comprehending process models is crucial yet poses significant challenges, particularly as organizations scale and processes become more complex. This paper introduces a novel framework utilizing the a
Externí odkaz:
http://arxiv.org/abs/2408.08892
Autor:
Gauy, Marcelo Matheus, Koza, Natalia Hitomi, Morita, Ricardo Mikio, Stanzione, Gabriel Rocha, Junior, Arnaldo Candido, Berti, Larissa Cristina, Levin, Anna Sara Shafferman, Sabino, Ester Cerdeira, Svartman, Flaviane Romani Fernandes, Finger, Marcelo
We contrast high effectiveness of state of the art deep learning architectures designed for general audio classification tasks, refined for respiratory insufficiency (RI) detection and blood oxygen saturation (SpO$_2$) estimation and classification t
Externí odkaz:
http://arxiv.org/abs/2407.20989
Recent work has shown that the quasinormal mode spectrum of black holes is unstable under small perturbations (of order $\epsilon$) of the radial potential, while the early time-domain ringdown waveform is only marginally affected. In this paper we p
Externí odkaz:
http://arxiv.org/abs/2407.20131
We introduce modified energies that are suitable to get upper bounds on the high Sobolev norms for solutions to the $1$D periodic NLS. Our strategy is rather flexible and allows us to get a new and simpler proof of the bounds obtained by Bourgain in
Externí odkaz:
http://arxiv.org/abs/2407.17993
Large Language Models (LLMs) have the potential to semi-automate some process mining (PM) analyses. While commercial models are already adequate for many analytics tasks, the competitive level of open-source LLMs in PM tasks is unknown. In this paper
Externí odkaz:
http://arxiv.org/abs/2407.13244