Zobrazeno 1 - 10
of 723
pro vyhledávání: '"Sanso', P."'
In this work, we studied photon generation due to the Dynamical Casimir Effect (DCE) in a one dimensional (1+1) double superconducting cavity. The cavity consists of two perfectly conducting mirrors and a dielectric membrane of infinitesimal depth th
Externí odkaz:
http://arxiv.org/abs/2407.14351
Autor:
Yahia, Olfa Ben, Garroussi, Zineb, Sansò, Brunilde, Frigon, Jean-François, Martel, Stéphane, Lesage-Landry, Antoine, Kurt, Gunes Karabulut
This paper addresses the limitations of current satellite payload architectures, which are predominantly hardware-driven and lack the flexibility to adapt to increasing data demands and uneven traffic. To overcome these challenges, we present a novel
Externí odkaz:
http://arxiv.org/abs/2407.06075
We propose a constructive approach to building temporal point processes that incorporate dependence on their history. The dependence is modeled through the conditional density of the duration, i.e., the interval between successive event times, using
Externí odkaz:
http://arxiv.org/abs/2407.03774
Publikováno v:
IEEE Latin America Transactions. Volume: 17, Issue: 07, July 2019
This paper presents a platform to facilitate the deployment of applications in Internet of Things (IoT) devices. The platform allows to the programmers to use a Function-as-a-Service programming paradigm that are managed and configured in a Platform-
Externí odkaz:
http://arxiv.org/abs/2406.11413
Autor:
Parker, Paul A., Sansó, Bruno
The Rapid Carbon Assessment, conducted by the U.S. Department of Agriculture, was implemented in order to obtain a representative sample of soil organic carbon across the contiguous United States. In conjunction with a statistical model, the dataset
Externí odkaz:
http://arxiv.org/abs/2311.12020
Autor:
Yahia, Olfa Ben, Garroussi, Zineb, Bélanger, Olivier, Sansò, Brunilde, Frigon, Jean-François, Martel, Stéphane, Lesage-Landry, Antoine, Kurt, Gunes Karabulut
High throughput satellites (HTS), with their digital payload technology, are expected to play a key role as enablers of the upcoming 6G networks. HTS are mainly designed to provide higher data rates and capacities. Fueled by technological advancement
Externí odkaz:
http://arxiv.org/abs/2310.04389
Mobility as a Service (MaaS) is revolutionizing the transportation industry by offering convenient, efficient and integrated transportation solutions. However, the extensive use of user data as well as the integration of multiple service providers ra
Externí odkaz:
http://arxiv.org/abs/2310.10663
The massive increase of data traffic, the widespread proliferation of wireless applications and the full-scale deployment of 5G and the IoT, imply a steep increase in cellular networks energy use, resulting in a significant carbon footprint. This pap
Externí odkaz:
http://arxiv.org/abs/2210.11475
We introduce a flexible and scalable class of Bayesian geostatistical models for discrete data, based on the class of nearest neighbor mixture transition distribution processes (NNMP), referred to as discrete NNMP. The proposed class characterizes sp
Externí odkaz:
http://arxiv.org/abs/2111.01840
We develop a class of nearest-neighbor mixture models that provide direct, computationally efficient, probabilistic modeling for non-Gaussian geospatial data. The class is defined over a directed acyclic graph, which implies conditional independence
Externí odkaz:
http://arxiv.org/abs/2107.07736