Zobrazeno 1 - 10
of 4 770
pro vyhledávání: '"Loesch A"'
Autor:
Sifón, Cristóbal, Finoguenov, Alexis, Haines, Christopher P., Jaffé, Yara, Amrutha, B. M., Demarco, Ricardo, Lima, E. V. R., Lima-Dias, Ciria, Méndez-Hernández, Hugo, Merluzzi, Paola, Monachesi, Antonela, Teixeira, Gabriel S. M., Tejos, Nicolas, Araya-Araya, Pablo, Argudo-Fernández, Maria, Baier-Soto, Raúl, Bilton, Lawrence E., Bom, C. R., Calderón, Juan Pablo, Cassarà, Letizia P., Comparat, Johan, Courtois, H. M., D'Ago, Giuseppe, Dupuy, Alexandra, Fritz, Alexander, Haack, Rodrigo F., Herpich, Fabio R., Ibar, E., Kuchner, Ulrike, Lopes, Amanda R., Lopez, Sebastian, Lösch, Elismar, McGee, Sean, de Oliveira, C. Mendes, Morelli, Lorenzo, Moretti, Alessia, Pallero, Diego, Piraino-Cerda, Franco, Pompei, Emanuela, Rescigno, U., Smith, Rory, Castelli, Analía V. Smith, Sodré Jr, Laerte, Tempel, Elmo
CHANCES, the CHileAN Cluster galaxy Evolution Survey, will study the evolution of galaxies in and around ${\sim}$150 massive galaxy clusters, from the local universe out to z=0.45. CHANCES will use the new 4MOST Spectroscopic Survey Facility on the V
Externí odkaz:
http://arxiv.org/abs/2411.13655
The rapid evolution of deep learning and its integration with autonomous driving systems have led to substantial advancements in 3D perception using multimodal sensors. Notably, radar sensors show greater robustness compared to cameras and lidar unde
Externí odkaz:
http://arxiv.org/abs/2408.06772
Autor:
Herpich, Fabio R., Almeida-Fernandes, Felipe, Schwarz, Gustavo B. Oliveira, Lima, Erik V. R., Nakazono, Lilianne, Alonso-García, Javier, Fonseca-Faria, Marcos A., Sartori, Marilia J., Bolutavicius, Guilherme F., de Souza, Gabriel Fabiano, Hartmann, Eduardo A., Li, Liana, Espinosa, Luna, Kanaan, Antonio, Schoenell, William, Werle, Ariel, Machado-Pereira, Eduardo, Gutiérrez-Soto, Luis A., Santos-Silva, Thaís, Castelli, Analia V. Smith, Lacerda, Eduardo A. D., Barbosa, Cassio L., Perottoni, Hélio D., Lopes, Carlos E. Ferreira, Valença, Raquel Ruiz, Martho, Pierre Augusto Re, Bom, Clecio R., Bonatto, Charles J., Carvalho, Maiara S., Cernic, Vitor, Fernandes, Roberto Cid, Coelho, Paula, Cortesi, Ariana, Palma, Barbara Cubillos, Doubrawa, Lia, Alberice, Vincenzo Sivero Ferreira, Huaynasi, Fredi Quispe, Perin, Gabriel Jacob, Arancibia, Marcelo Jaque, Krabbe, Angela, Lima-Dias, Ciria, Lomelí-Núñez, Luis, de Oliveira, Raimundo Lopes, Lopes, Amanda R., Figueiredo, André Luiz, Lösch, Elismar, Navarete, Felipe, de Oliveira, Julia Mello, Overzier, Roderik, Placco, Vinicius M., Roig, Fernando V., Rubet, Mariana, Santos, André, Sasse, Victor Hugo, Thaina-Batista, Julia, Torres-Flores, Sergio, Beers, Timothy C., Alvarez-Candal, Alvaro, Akras, Stavros, Panda, Swayamtrupta, Limberg, Guilherme, Castellón, José Luis Nilo, Telles, Eduardo, Lopes, Paulo Afranio, Montaguth, Gissel Dayana Pardo, Silva, Leandro Beraldo e, Humire, Pedro K., Fernandes, Marcelo Borges, Cordeiro, Vinícius, Ribeiro, Tiago, de Oliveira, Claudia Mendes
The Southern Photometric Local Universe Survey (S-PLUS) is a project to map $\sim9300$ sq deg of the sky using twelve bands (seven narrow and five broadbands). Observations are performed with the T80-South telescope, a robotic telescope located at th
Externí odkaz:
http://arxiv.org/abs/2407.20701
Autor:
Richardson, Mark B., Loesch, Stefan
The scope of this article includes the three preeminent descriptions of concentrated liquidity from Bancor (2020 and 2022), and Uniswap (2021), as well as three additional descriptions informed by trigonometric analysis of the same. The purpose of th
Externí odkaz:
http://arxiv.org/abs/2407.02496
Self-supervised monocular depth estimation methods aim to be used in critical applications such as autonomous vehicles for environment analysis. To circumvent the potential imperfections of these approaches, a quantification of the prediction confide
Externí odkaz:
http://arxiv.org/abs/2311.06137
For specialized and dense downstream tasks such as object detection, labeling data requires expertise and can be very expensive, making few-shot and semi-supervised models much more attractive alternatives. While in the few-shot setup we observe that
Externí odkaz:
http://arxiv.org/abs/2310.19936
The use of pretrained deep neural networks represents an attractive way to achieve strong results with few data available. When specialized in dense problems such as object detection, learning local rather than global information in images has proven
Externí odkaz:
http://arxiv.org/abs/2310.16835
In recent years, depth sensors have become more and more affordable and have found their way into a growing amount of robotic systems. However, mono- or multi-modal sensor registration, often a necessary step for further processing, faces many challe
Externí odkaz:
http://arxiv.org/abs/2310.14924
Publikováno v:
JAAD Case Reports, Vol 54, Iss , Pp 73-76 (2024)
Externí odkaz:
https://doaj.org/article/ea1405c393d14085b4f81a3cdf9357bb
Secure software engineering is crucial but can be time-consuming; therefore, methods that could expedite the identification of software weaknesses without reducing the process efficacy would benefit the software engineering industry and thus benefit
Externí odkaz:
http://arxiv.org/abs/2308.05558