Zobrazeno 1 - 10
of 18 125
pro vyhledávání: '"Altamirano A"'
Autor:
Estrada, Francisco, del Carmen, Miguel A. Altamirano, Calderon-Bustamante, Oscar, Botzen, W. J. Wouter, Martinez-Jaramillo, Serafin, Battiston, Stefano
The financial sector is increasingly concerned with the physical risks of climate change, but economic and financial impact representations are still developing, particularly for chronic risks. Mexico's Central Bank conducted a comprehensive assessme
Externí odkaz:
http://arxiv.org/abs/2411.18834
We report the spectro-temporal study of the neutron star low mass X-ray binary Cygnus X-2 using NICER and NuSTAR data while the source was in the normal branch (NB). We detect a normal branch oscillation (NBO) feature at ~ 5.41 Hz that appears in the
Externí odkaz:
http://arxiv.org/abs/2411.12803
Autor:
Karam, Rawan, Dage, Kristen C., Tetarenko, Bailey E., Brumback, McKinley C., Haggard, Daryl, Bahramian, Arash, Hu, Chin-Ping, Neilsen, Joey, Altamirano, Diego, Athukoralalage, Wasundara, Charles, Philip A., Clarkson, William I., Hickox, Ryan C., Kennea, Jamie
The MOOSE (Monitoring Observations of SMC X-1 Excursions) program uses the Neutron Star Interior Composition Explorer Mission (NICER) to monitor the high mass X-ray binary SMC X-1 during its superorbital period excursions. Here we perform X-ray spect
Externí odkaz:
http://arxiv.org/abs/2410.17307
Autor:
Cabrera, Miguel Altamirano, Khan, Muhammad Haris, Alabbas, Ali, Moreno, Luis, Tokmurziyev, Issatay, Tsetserukou, Dzmitry
This study explores the integration of auditory and tactile experiences in musical haptics, focusing on enhancing sensory dimensions of music through touch. Addressing the gap in translating auditory signals to meaningful tactile feedback, our resear
Externí odkaz:
http://arxiv.org/abs/2410.16202
TiltXter: CNN-based Electro-tactile Rendering of Tilt Angle for Telemanipulation of Pasteur Pipettes
Autor:
Cabrera, Miguel Altamirano, Tirado, Jonathan, Fedoseev, Aleksey, Sautenkov, Oleg, Poliakov, Vladimir, Kopanev, Pavel, Tsetserukou, Dzmitry
The shape of deformable objects can change drastically during grasping by robotic grippers, causing an ambiguous perception of their alignment and hence resulting in errors in robot positioning and telemanipulation. Rendering clear tactile patterns i
Externí odkaz:
http://arxiv.org/abs/2409.15838
Autor:
Alabarta, Kevin, Méndez, Mariano, García, Federico, Altamirano, Diego, Zhang, Yuexin, Zhang, Liang, Russell, David M., König, Ole
We use the rms and lag spectra of the type-C quasi-periodic oscillation (QPO) to study the properties of the Comptonisation region (aka corona) during the low/hard and hard-intermediate states of the main outburst and reflare of MAXI J1348$-$630. We
Externí odkaz:
http://arxiv.org/abs/2409.14883
Autor:
Lykov, Artem, Cabrera, Miguel Altamirano, Konenkov, Mikhail, Serpiva, Valerii, Gbagbe, Koffivi Fid`ele, Alabbas, Ali, Fedoseev, Aleksey, Moreno, Luis, Khan, Muhammad Haris, Guo, Ziang, Tsetserukou, Dzmitry
This paper presents the concept of Industry 6.0, introducing the world's first fully automated production system that autonomously handles the entire product design and manufacturing process based on user-provided natural language descriptions. By le
Externí odkaz:
http://arxiv.org/abs/2409.10106
Autor:
Benito-Altamirano, Ismael, Martínez-Carpena, David, Lizarzaburu-Aguilar, Hanna, Ventura, Carles, Fàbrega, Cristian, Prades, Joan Daniel
Image color consistency is the key problem in digital imaging consistency when creating datasets. Here, we propose an improved 3D Thin-Plate Splines (TPS3D) color correction method to be used, in conjunction with color charts (i.e. Macbeth ColorCheck
Externí odkaz:
http://arxiv.org/abs/2409.05159
Within the context of creating new Socially Assistive Robots, emotion recognition has become a key development factor, as it allows the robot to adapt to the user's emotional state in the wild. In this work, we focused on the analysis of two voice re
Externí odkaz:
http://arxiv.org/abs/2409.05148
In recent years, several models using Quaternion-Valued Convolutional Neural Networks (QCNNs) for different problems have been proposed. Although the definition of the quaternion convolution layer is the same, there are different adaptations of other
Externí odkaz:
http://arxiv.org/abs/2409.00140