Zobrazeno 1 - 10
of 68 843
pro vyhledávání: '"Pintó, P."'
Search for the multiwavelength counterparts to extragalactic unassociated Fermi {\gamma}-ray sources
Autor:
Ulgiati, Alberto, Paiano, Simona, Pintore, Fabio, Russell, Thomas David, Sbaruffati, Boris, Pinto, Ciro, Ambrosi, Elena, Ai, Antonino D, Cusumano, Giancarlo, Del Santo, Melania
Aims. In this paper, we searched for multi-wavelength (X-ray, optical and radio) counterparts to the unassociated gamma-ray sources (UGS) of the Fermi 4FGL-DR4 catalog. The main goal is to identify new blazars and/or new active galactic nuclei (AGNs)
Externí odkaz:
http://arxiv.org/abs/2412.19314
We develop novel integrated learning and optimization (ILO) methodologies to solve economic dispatch (ED) and DC optimal power flow (DCOPF) problems for better economic operation. The optimization problem for ED is formulated with load being an unkno
Externí odkaz:
http://arxiv.org/abs/2412.18003
Autor:
Gazizov, Iskander, Pinto, Davide, Moser, Harald, Sam, Savda, Martin-Mateos, Pedro, O'Faolain, Liam, Lendl, Bernhard
This paper investigates three spectroscopic techniques - Tunable Diode Laser Absorption Spectroscopy (TDLAS), Wavelength Modulation Spectroscopy (WMS), and Heterodyne Phase Sensitive Dispersion Spectroscopy (HPSDS) - to evaluate their performance in
Externí odkaz:
http://arxiv.org/abs/2412.16528
Autor:
Pinto, Gabriela, Bickham, Charles, Salkar, Tanishq, Menezes, Joyston, Luceri, Luca, Ferrara, Emilio
This paper presents the TikTok 2024 U.S. Presidential Election Dataset, a large-scale, resource designed to advance research into political communication and social media dynamics. The dataset comprises 3.14 million videos published on TikTok between
Externí odkaz:
http://arxiv.org/abs/2412.15583
In the past, normalizing generative flows have emerged as a promising class of generative models for natural images. This type of model has many modeling advantages: the ability to efficiently compute log-likelihood of the input data, fast generation
Externí odkaz:
http://arxiv.org/abs/2412.15129
This report presents the comprehensive implementation, evaluation, and optimization of Denoising Diffusion Probabilistic Models (DDPMs) and Denoising Diffusion Implicit Models (DDIMs), which are state-of-the-art generative models. During inference, t
Externí odkaz:
http://arxiv.org/abs/2412.14422
Autor:
Pinto, Imanol, Olazarán, Álvaro, Jurío, David, de la Osa, Borja, Sainz, Miguel, Oscoz, Aritz, Ballaz, Jerónimo, Gorricho, Javier, Galar, Mikel, Andonegui, José
Background: The worst outcomes of diabetic retinopathy (DR) can be prevented by implementing DR screening programs assisted by AI. At the University Hospital of Navarre (HUN), Spain, general practitioners (GPs) grade fundus images in an ongoing DR sc
Externí odkaz:
http://arxiv.org/abs/2412.14221
High-quality datasets are critical for training machine learning models, as inconsistencies in feature generation can hinder the accuracy and reliability of threat detection. For this reason, ensuring the quality of the data in network intrusion dete
Externí odkaz:
http://arxiv.org/abs/2412.14021
With the growing interest in underwater exploration and monitoring, Autonomous Underwater Vehicles (AUVs) have become essential. The recent interest in onboard Deep Learning (DL) has advanced real-time environmental interaction capabilities relying o
Externí odkaz:
http://arxiv.org/abs/2412.11840
Autor:
D'Aì, Antonino, Maniadakis, K. Dimitrios, Ferrigno, Carlo, Ambrosi, Elena, Sokolova-Lapa, Ekaterina, Cusumano, Giancarlo, Becker, A. Peter, Burderi, Luciano, Del Santo, Melania, Di Salvo, Tiziana, Fürst, Felix, Iaria, Rosario, Kretschmar, Peter, La Parola, Valentina, Malacaria, Christian, Pinto, Ciro, Pintore, Fabio, Rodriguez-Castillo, A. Guillermo
We aim to investigate profile changes at the cyclotron line energy of the accreting X-ray pulsar V 0332+53 by means of the analysis of its energy-resolved pulse profile behaviour, using the full set of available NuSTAR observations. We apply a tailor
Externí odkaz:
http://arxiv.org/abs/2412.10907