Zobrazeno 1 - 10
of 10 599
pro vyhledávání: '"Bertozzi"'
Autor:
Bertozzi Irene, Benetti Andrea, Regazzo Daniela, Polese Francesca, Biagetti Giacomo, Ceolotto Giulio, Randi Maria Luigia
Publikováno v:
Genes and Diseases, Vol 11, Iss 2, Pp 561-563 (2024)
Externí odkaz:
https://doaj.org/article/e4182ee8bf91402a8561584050a7fb00
Autor:
Ferenc, Will, Kastein, Hannah, Lieu, Lauren, Wilson, Ryan, Huang, Yuan Rick, Gilles, Jerome, Bertozzi, Andrea L., Sharma, Balaji R., HomChaudhuri, Baisravan, Ramakrishnan, Subramanian, Kumar, Manish
Publikováno v:
012 American Control Conference, Montreal, Canada, June 2012
This paper considers cooperative control of robots involving two different testbed systems in remote locations with communication on the internet. This provides us the capability to exchange robots status like positions, velocities and directions nee
Externí odkaz:
http://arxiv.org/abs/2411.03614
Autor:
Leng, Xinyi, Liang, Jason, Mauro, Jack, Wang, Xu, Bertozzi, Andrea L., Chapman, James, Lin, Junyuan, Chen, Bohan, Ye, Chenchen, Daniel, Temple, Brantingham, P. Jeffrey
Narrative data spans all disciplines and provides a coherent model of the world to the reader or viewer. Recent advancement in machine learning and Large Language Models (LLMs) have enable great strides in analyzing natural language. However, Large l
Externí odkaz:
http://arxiv.org/abs/2411.02435
Autor:
Gerhart, Torin, Sunu, Justin, Merkurjev, Ekaterina, Chang, Jen-Mei, Gilles, Jerome, Bertozzi, Andrea L.
Publikováno v:
SPIE Defense, Security, and Sensing, 2013, Baltimore, Proceedings Volume 8743, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX; 87430J (2013)
Automated detection of chemical plumes presents a segmentation challenge. The segmentation problem for gas plumes is difficult due to the diffusive nature of the cloud. The advantage of considering hyperspectral images in the gas plume detection prob
Externí odkaz:
http://arxiv.org/abs/2411.00281
Equilibrium theory of bidensity particle-laden suspensions in thin-film flow down a spiral separator
Spiral gravity separators are designed to separate multi-species slurry components based on differences in density and size. Previous studies have investigated steady-state solutions for mixtures of liquids and single particle species in thin-film fl
Externí odkaz:
http://arxiv.org/abs/2410.23568
Autor:
Lee, Wing Pok, Woo, Jonathan D., Triplett, Luke F., Gu, Yifan, Burnett, Sarah C., Ding, Lingyun, Bertozzi, Andrea L.
The dynamics of viscous thin-film particle-laden flows down inclined surfaces are commonly modeled with one of two approaches: a diffusive flux model or a suspension balance model. The diffusive flux model assumes that the particles migrate via a dif
Externí odkaz:
http://arxiv.org/abs/2410.23561
Few-shot and continual learning face two well-known challenges in GANs: overfitting and catastrophic forgetting. Learning new tasks results in catastrophic forgetting in deep learning models. In the case of a few-shot setting, the model learns from a
Externí odkaz:
http://arxiv.org/abs/2410.14749
Autor:
Botti, Filippo, Ergasti, Alex, Rossi, Leonardo, Fontanini, Tomaso, Ferrari, Claudio, Bertozzi, Massimo, Prati, Andrea
The goal of style transfer is, given a content image and a style source, generating a new image preserving the content but with the artistic representation of the style source. Most of the state-of-the-art architectures use transformers or diffusion-
Externí odkaz:
http://arxiv.org/abs/2409.10385
We introduce a policy model coupled with the susceptible-infected-recovered (SIR) epidemic model to study interactions between policy-making and the dynamics of epidemics. We consider both single-region policies, as well as game-theoretic models invo
Externí odkaz:
http://arxiv.org/abs/2408.02097
Text-based person search (TBPS) is a problem that gained significant interest within the research community. The task is that of retrieving one or more images of a specific individual based on a textual description. The multi-modal nature of the task
Externí odkaz:
http://arxiv.org/abs/2407.04287