Zobrazeno 1 - 10
of 2 684
pro vyhledávání: '"Jafarzadeh P"'
We revisit the adiabatic charging of a three-level QBs, using the adiabatic quantum master equation formalism. We restrict ourselves to the weak-coupling regime with an Ohmic thermal bath and investigate the effects of relaxation and dephasing on the
Externí odkaz:
http://arxiv.org/abs/2411.17854
Autor:
Saberi, Maryam, Jafarzadeh, Shahin, Wedemeyer, Sven, Gafeira, Ricardo, Szydlarski, Mikolaj, Jess, David, Stangalini, Marco
Magnetohydrodynamic (MHD) waves, playing a crucial role in transporting energy through the solar atmosphere, manifest in various chromospheric structures. Here, we investigated MHD waves in a long-lasting dark fibril using high-temporal-resolution (2
Externí odkaz:
http://arxiv.org/abs/2411.14190
Speech is the most natural way of expressing ourselves as humans. Identifying emotion from speech is a nontrivial task due to the ambiguous definition of emotion itself. Speaker Emotion Recognition (SER) is essential for understanding human emotional
Externí odkaz:
http://arxiv.org/abs/2411.02964
Domain adaptive semantic segmentation is the task of generating precise and dense predictions for an unlabeled target domain using a model trained on a labeled source domain. While significant efforts have been devoted to improving unsupervised domai
Externí odkaz:
http://arxiv.org/abs/2410.16485
Autor:
Wedemeyer, Sven, Szydlarski, Mikolaj, Toribio, M. Carmen, Carozzi, Tobia, Jakobsson, Daniel, Gomez, Juan Camilo Guevara, Eklund, Henrik, Henriques, Vasco M. J., Jafarzadeh, Shahin, Rodriguez, Jaime de la Cruz
The Atacama Large Millimeter/submillimeter Array (ALMA) offers new diagnostic capabilities for studying the Sun, providing complementary insights through high spatial and temporal resolution at millimeter wavelengths. ALMA acts as a linear thermomete
Externí odkaz:
http://arxiv.org/abs/2408.14265
Despite the recent popularity of attention-based neural architectures in core AI fields like natural language processing (NLP) and computer vision (CV), their potential in modeling complex physical systems remains under-explored. Learning problems in
Externí odkaz:
http://arxiv.org/abs/2408.07307
Autor:
Berretti, M., Stangalini, M., Verth, G., Jafarzadeh, S., Jess, D. B., Berrilli, F., Grant, S. D. T., Duckenfield, T., Fedun, V.
It is well known that the dominant frequency of oscillations in the solar photosphere is $\approx$3 mHz, which is the result of global resonant modes pertaining to the whole stellar structure. However, analyses of the horizontal motions of nearly 1 m
Externí odkaz:
http://arxiv.org/abs/2407.03950
Large language models (LLMs) bear promise as a fast and accurate material modeling paradigm for evaluation, analysis, and design. Their vast number of trainable parameters necessitates a wealth of data to achieve accuracy and mitigate overfitting. Ho
Externí odkaz:
http://arxiv.org/abs/2407.02770
Handwriting analysis is still an important application in machine learning. A basic requirement for any handwriting recognition application is the availability of comprehensive datasets. Standard labelled datasets play a significant role in training
Externí odkaz:
http://arxiv.org/abs/2406.01025
Autor:
Bate, W., Jess, D. B., Grant, S. D. T., Hillier, A., Skirvin, S. J., van Doorsselaere, T., Jafarzadeh, S., Wiegelmann, T., Duckenfield, T., Beck, C., Moore, T., Stangalini, M., Keys, P. H., Christian, D. J.
The magnetic geometry of the solar atmosphere, combined with projection effects, makes it difficult to accurately map the propagation of ubiquitous waves in fibrillar structures. These waves are of interest due to their ability to carry energy into t
Externí odkaz:
http://arxiv.org/abs/2405.15584