Zobrazeno 1 - 10
of 1 468
pro vyhledávání: '"Pesavento P"'
Autor:
Schynol, Lukas, Pesavento, Marius
Anomaly detection (AD) is increasingly recognized as a key component for ensuring the resilience of future communication systems. While deep learning has shown state-of-the-art AD performance, its application in critical systems is hindered by concer
Externí odkaz:
http://arxiv.org/abs/2409.11529
Autor:
Fan, Yufan, Pesavento, Marius
In this article, the problems of decentralized Singular Value Decomposition (d-SVD) and decentralized Principal Component Analysis (d-PCA) are studied, which are fundamental in various signal processing applications. Two scenarios of d-SVD are consid
Externí odkaz:
http://arxiv.org/abs/2408.14292
We present a novel framework to reconstruct complete 3D human shapes from a given target image by leveraging monocular unconstrained images. The objective of this work is to reproduce high-quality details in regions of the reconstructed human body th
Externí odkaz:
http://arxiv.org/abs/2407.10586
Autor:
Liu, Tianyi, Deram, Sai Pavan, Ardah, Khaled, Haardt, Martin, Pfetsch, Marc E., Pesavento, Marius
Spatial frequency estimation from a mixture of noisy sinusoids finds applications in various fields. While subspace-based methods offer cost-effective super-resolution parameter estimation, they demand precise array calibration, posing challenges for
Externí odkaz:
http://arxiv.org/abs/2406.16041
Autor:
Müller, Raphael, Allevato, Gianni, Rutsch, Matthias, Haugwitz, Christoph, Kupnik, Mario, Pesavento, Marius
Arrays of ultrasonic sensors are capable of 3D imaging in air and an affordable supplement to other sensing modalities, such as radar, lidar, and camera, i.e. in heterogeneous sensing systems. However, manufacturing tolerances of air-coupled ultrason
Externí odkaz:
http://arxiv.org/abs/2406.14355
Autor:
Pesavento, Marco, Xu, Yuanlu, Sarafianos, Nikolaos, Maier, Robert, Wang, Ziyan, Yao, Chun-Han, Volino, Marco, Boyer, Edmond, Hilton, Adrian, Tung, Tony
Recent progress in human shape learning, shows that neural implicit models are effective in generating 3D human surfaces from limited number of views, and even from a single RGB image. However, existing monocular approaches still struggle to recover
Externí odkaz:
http://arxiv.org/abs/2403.10357
Autor:
Liu, Tianyi, Matter, Frederic, Sorg, Alexander, Pfetsch, Marc E., Haardt, Martin, Pesavento, Marius
In this paper, we consider the maximum a posteriori (MAP) estimation for the multiple measurement vectors (MMV) problem with application to direction-of-arrival (DOA) estimation, which is classically formulated as a regularized least-squares (LS) pro
Externí odkaz:
http://arxiv.org/abs/2311.03501
Publikováno v:
Computers and Geotechnics, Volume 133, May 2021, 104024
In this paper, a novel hybrid FEM and Peridynamic modeling approach proposed in Ni et al. (2020) is used to predict the dynamic solution of hydro-mechanical coupled problems. A modified staggered solution algorithm is adopted to solve the coupled sys
Externí odkaz:
http://arxiv.org/abs/2307.11121
Autor:
Ni, Tao, Pesavento, Francesco, Zaccariotto, Mirco, Galvanetto, Ugo, Zhua, Qi-Zhi, Schrefler, Bernhard A.
Publikováno v:
Comput. Methods Appl. Mech. Engrg. 366 (2020) 113101
This paper presents a hybrid modeling approach for simulating hydraulic fracture propagation in saturated porous media: ordinary state-based peridynamics is used to describe the behavior of the solid phase, including the deformation and crack propaga
Externí odkaz:
http://arxiv.org/abs/2307.10929
Autor:
Maresa Sheehan, Patricia A. Pesavento, Francis Campion, John Lynch, Shane McGettrick, Brian Toland, Aideen Kennedy
Publikováno v:
Irish Veterinary Journal, Vol 77, Iss 1, Pp 1-7 (2024)
Abstract Background Ovine gammaherpesvirus 2 (OvHV-2) is the causative agent of sheep associated malignant catarrhal fever (MCF). As sheep are the adapted host for OvHV-2, it is generally presumed that infection is not associated with disease in this
Externí odkaz:
https://doaj.org/article/5bc8473390d74c9697c852692cee57a7