Zobrazeno 1 - 10
of 15 759
pro vyhledávání: '"Lucca, A."'
In the last years, model-related publications have been exploring the application of modeling techniques in different domains. Initially focused on UML and the Model-Driven Architecture approach, the literature has been evolving towards the usage of
Externí odkaz:
http://arxiv.org/abs/2408.05975
Autor:
Sortino, Luca, Biechteler, Jonas, Lafeta, Lucas, Kühner, Lucca, Hartschuh, Achim, Menezes, Leonardo de S., Maier, Stefan A., Tittl, Andreas
Photonics has been revolutionized by breakthroughs in optical metasurfaces and layered two-dimensional materials. Yet, integrating these two fields in a singular system has remained challenging. Here, we introduce the concept of van der Waals (vdW) h
Externí odkaz:
http://arxiv.org/abs/2407.16480
Autor:
Simões, Lucca Emmanuel Pineli, Rodrigues, Lucas Brandão, Silva, Rafaela Mota, da Silva, Gustavo Rodrigues
This paper presents the development and comparative evaluation of three voice command pipelines for controlling a Tello drone, using speech recognition and deep learning techniques. The aim is to enhance human-machine interaction by enabling intuitiv
Externí odkaz:
http://arxiv.org/abs/2407.08658
Autor:
Lim, K., Ricci, P., Stenger, L., De Lucca, B., Durr-Legoupil-Nicoud, G., Février, O., Theiler, C., Verhaegh, K.
The physical mechanisms regulating the power sharing at the outer targets of L-mode double-null (DN) configurations are investigated using nonlinear, flux-driven, three-dimensional two-fluid simulations. Scans of parameters that regulate the turbulen
Externí odkaz:
http://arxiv.org/abs/2406.19684
Autor:
Tecchiolli, Zeno, Hudson, Stuart, Loizu, Joaquim, Köberl, Robert, Hindenlang, Florian, De Lucca, Brenno
A new approach for constructing polar-like boundary-conforming coordinates inside a toroid with strongly shaped cross-sections is presented. A coordinate mapping is obtained through a variational approach, which involves identifying extremal points o
Externí odkaz:
http://arxiv.org/abs/2405.08173
Autor:
Fu, Shenming, Dell'Antonio, Ian, Escalante, Zacharias, Nelson, Jessica, Englert, Anthony, Helhoski, Søren, Shinde, Rahul, Brockland, Julia, LaDuca, Philip, Larkin, Christelyn, Paris, Lucca, Weiner, Shane, Black, William K., Chary, Ranga-Ram, Clowe, Douglas, Cooper, M. C., Donahue, Megan, Evrard, August, Lacy, Mark, Lauer, Tod, Liu, Binyang, McCleary, Jacqueline, Meneghetti, Massimo, Miyatake, Hironao, Montes, Mireia, Natarajan, Priyamvada, Ntampaka, Michelle, Pierpaoli, Elena, Postman, Marc, Sohn, Jubee, Turner, David, Umetsu, Keiichi, Utsumi, Yousuke, Wilson, Gillian
The Local Volume Complete Cluster Survey (LoVoCCS) is an on-going program to observe nearly a hundred low-redshift X-ray-luminous galaxy clusters (redshifts $0.0310^{44}$ erg/s)
Externí odkaz:
http://arxiv.org/abs/2402.10337
Autor:
Junior, Roberto Francisco de Lima, Presta, Luiz Fernando Paes de Barros, Borborema, Lucca Santos, da Silva, Vanderson Nogueira, Dahia, Marcio Leal de Melo, Santos, Anderson Carlos Sousa e
This paper presents a detailed case study examining the application of Large Language Models (LLMs) in the construction of test cases within the context of software engineering. LLMs, characterized by their advanced natural language processing capabi
Externí odkaz:
http://arxiv.org/abs/2312.12598
Publikováno v:
Stat Comput 34, 9 (2024)
High dimension, low sample size (HDLSS) problems are numerous among real-world applications of machine learning. From medical images to text processing, traditional machine learning algorithms are usually unsuccessful in learning the best possible co
Externí odkaz:
http://arxiv.org/abs/2310.14710
With the popularization of the internet, smartphones and social media, information is being spread quickly and easily way, which implies bigger traffic of information in the world, but there is a problem that is harming society with the dissemination
Externí odkaz:
http://arxiv.org/abs/2310.11344
Autor:
Covey, Ryan, Buonamano, Lucca
The use of big data in official statistics and the applied sciences is accelerating, but statistics computed using only big data often suffer from substantial selection bias. This leads to inaccurate estimation and invalid statistical inference. We r
Externí odkaz:
http://arxiv.org/abs/2307.11999