Zobrazeno 1 - 10
of 4 832
pro vyhledávání: '"Diop, P. A."'
Efficient learning from streaming data is important for modern data analysis due to the continuous and rapid evolution of data streams. Despite significant advancements in stream pattern mining, challenges persist, particularly in managing complex da
Externí odkaz:
http://arxiv.org/abs/2411.00074
Autor:
Diop, Lamine, Plantevit, Marc
Discovering valuable insights from data through meaningful associations is a crucial task. However, it becomes challenging when trying to identify representative patterns in quantitative databases, especially with large datasets, as enumeration-based
Externí odkaz:
http://arxiv.org/abs/2410.22964
Autor:
Diop, Awa, Sirois, Caroline, Guertin, Jason R., Schnitzer, Mireille E., Brophy, James M., Talbot, Denis
The R package trajmsm provides functions designed to simplify the estimation of the parameters of a model combining latent class growth analysis (LCGA), a trajectory analysis technique, and marginal structural models (MSMs) called LCGA-MSM. LCGA summ
Externí odkaz:
http://arxiv.org/abs/2410.19682
Autor:
Díaz, Luis Miguel, Luis, Samuel Yanes, Barrionuevo, Alejandro Mendoza, Diop, Dame Seck, Perales, Manuel, Casado, Alejandro, Toral, Sergio, Gutiérrez, Daniel
The use of Autonomous Surface Vehicles, equipped with water quality sensors and artificial vision systems, allows for a smart and adaptive deployment in water resources environmental monitoring. This paper presents a real implementation of a vehicle
Externí odkaz:
http://arxiv.org/abs/2410.05892
In this work, we are interested in a VS-EIAR epidemiological model considering vaccinated individuals ${V_i: i=1,\ldots,n}$, where $n\in \mathbb{N}^{*}$. The dynamic of the VS-EIAR model involves several ordinary differential equations that describe
Externí odkaz:
http://arxiv.org/abs/2406.00864
Autor:
Wang, Quan, Pan, Mingliang, Kreiss, Lucas, Samaei, Saeed, Carp, Stefan A., Johansson, Johannes D., Zhang, Yuanzhe, Wu, Melissa, Horstmeyer, Roarke, Diop, Mamadou, Li, David Day-Uei
Diffuse correlation spectroscopy (DCS) is a powerful tool for assessing microvascular hemodynamic in deep tissues. Recent advances in sensors, lasers, and deep learning have further boosted the development of new DCS methods. However, newcomers might
Externí odkaz:
http://arxiv.org/abs/2406.15420
Content and image generation consist in creating or generating data from noisy information by extracting specific features such as texture, edges, and other thin image structures. We are interested here in generative models, and two main problems are
Externí odkaz:
http://arxiv.org/abs/2403.14897
Publikováno v:
J. Integral Equations Applications 36(3): 263-298 (Fall 2024)
In this work, we study the existence of mild solutions and the approximate controllability for nonautonomous integrodifferential equations with state-dependent delay. We assume the approximate controllability of the linear part, then we use the resol
Externí odkaz:
http://arxiv.org/abs/2403.02326
Autor:
Mananga, Eugene Stephane, Diop, Aissata, Dongomale, Paulin, Diane, Fambougouri, van Dam, Hubertus
Electronic structure theory provides a foundation for understanding chemical transformations and processes in complex chemical environments. Our work is focused on the NWChemEx project that has selected two interrelated science challenges that addres
Externí odkaz:
http://arxiv.org/abs/2402.14941
Molecular abundances in protoplanetary disks are highly sensitive to the local physical conditions, including gas temperature, gas density, radiation field, and dust properties. Often multiple factors are intertwined, impacting the abundances of both
Externí odkaz:
http://arxiv.org/abs/2312.05254