Zobrazeno 1 - 10
of 4 219
pro vyhledávání: '"Lunardi P"'
Autor:
Lau, Matthew, Wang, Haoran, Helbling, Alec, Hul, Matthew, Peng, ShengYun, Andreoni, Martin, Lunardi, Willian T., Lee, Wenke
The robustness of machine learning models has been questioned by the existence of adversarial examples. We examine the threat of adversarial examples in practical applications that require lightweight models for one-class classification. Building on
Externí odkaz:
http://arxiv.org/abs/2407.06372
Autor:
Garofalo, Nicola, Lunardi, Alessandra
We introduce a class of (possibly) degenerate dispersive equations with a drift. We prove that, under the H\"ormander hypoellipticity condition, the relevant Cauchy problem can be uniquely solved in the Schwartz class, and the solution operator can b
Externí odkaz:
http://arxiv.org/abs/2406.04441
We study the Birman-Schwinger operator for a self-adjoint realisation of the one-dimensional Hamiltonian with the Coulomb potential. We study both the case in which this Hamiltonian is defined on the whole real line and when it is only defined on the
Externí odkaz:
http://arxiv.org/abs/2405.08618
We propose a hybrid formulation of the linear inverted pendulum model for bipedal locomotion, where the foot switches are triggered based on the center of mass position, removing the need for pre-defined footstep timings. Using a concept similar to r
Externí odkaz:
http://arxiv.org/abs/2405.02184
Autor:
Bertoglio, Daniel Dalalana, Gil, Arthur, Acosta, Juan, Godoy, Julia, Lunardi, Roben Castagna, Zorzo, Avelino Francisco
With the increasing number of internet-based resources and applications, the amount of attacks faced by companies has increased significantly in the past years. Likewise, the techniques to test security and emulate attacks need to be constantly impro
Externí odkaz:
http://arxiv.org/abs/2311.12952
Publikováno v:
"Receding-Constraint Model Predictive Control using a Learned Approximate Control-Invariant Set," 2024 IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan, 2024, pp. 11626-11632
In recent years, advanced model-based and data-driven control methods are unlocking the potential of complex robotics systems, and we can expect this trend to continue at an exponential rate in the near future. However, ensuring safety with these adv
Externí odkaz:
http://arxiv.org/abs/2309.11124
The effectiveness of network intrusion detection systems, predominantly based on machine learning, are highly influenced by the dataset they are trained on. Ensuring an accurate reflection of the multifaceted nature of benign and malicious traffic in
Externí odkaz:
http://arxiv.org/abs/2310.10661
Publikováno v:
Geriatrics, Gerontology and Aging, Vol 8, Pp 38-42 (2024)
Objetivos: Verificar o perfil dos pacientes idosos por meio das variáveis como sexo, cor, escolaridade e idade, notificados com AIDS na região sul do Brasil e na cidade de Chapecó, no período de 1980 a 2009, que adquiriram AIDS por via sexual. Me
Externí odkaz:
https://doaj.org/article/469331a789844c93a718b657dc099f24
Autor:
EFSA Panel on Food Enzymes (FEZ), Holger Zorn, José Manuel Barat Baviera, Claudia Bolognesi, Francesco Catania, Gabriele Gadermaier, Ralf Greiner, Baltasar Mayo, Alicja Mortensen, Yrjö Henrik Roos, Marize L. M. Solano, Monika Sramkova, Henk Van Loveren, Laurence Vernis, Simone Lunardi, Magdalena Andryszkiewicz, Ana Criado, Yi Liu
Publikováno v:
EFSA Journal, Vol 22, Iss 10, Pp n/a-n/a (2024)
Abstract The food enzyme carboxypeptidase C (EC 3.4.16.5) is produced with the genetically modified Aspergillus niger strain PEG by DSM Food Specialties B.V. The genetic modifications do not give rise to safety concerns. The food enzyme is free from
Externí odkaz:
https://doaj.org/article/071a983a31924ece9d092ebde5682bf8
Autor:
EFSA Panel on Food Enzymes (FEZ), Holger Zorn, José Manuel Barat Baviera, Claudia Bolognesi, Francesco Catania, Gabriele Gadermaier, Ralf Greiner, Baltasar Mayo, Alicja Mortensen, Yrjö Henrik Roos, Marize L. M. Solano, Monika Sramkova, Henk Van Loveren, Laurence Vernis, Magdalena Andryszkiewicz, Daniele Cavanna, Ana Criado, Simone Lunardi, Yi Liu
Publikováno v:
EFSA Journal, Vol 22, Iss 10, Pp n/a-n/a (2024)
Abstract The food enzyme endonuclease (Aspergillus nuclease S1; EC 3.1.30.1) is produced with the non‐genetically modified Penicillium citrinum strain NP 11–15 by Shin Nihon Chemical Co., Ltd. The food enzyme is free from viable cells of the prod
Externí odkaz:
https://doaj.org/article/3f2ac54564c94e91a7ea4d60ae9f7fd0