Zobrazeno 1 - 10
of 853
pro vyhledávání: '"C Gandolfo"'
Autor:
Bryan S. Guevara, Luis F. Recalde, Viviana Moya, Jose Varela-Aldas, Daniel C. Gandolfo, Juan M. Toibero
Publikováno v:
IEEE Access, Vol 12, Pp 77121-77132 (2024)
This article proposes an enhancement to estimate unmodeled dynamics within the simplified dynamic model of a quadcopter by integrating three key methodologies: Nonlinear Model Predictive Control (NMPC), a Momentum Observer Dynamics (MOD), and an adap
Externí odkaz:
https://doaj.org/article/bd5459350c3e4685acaf9cc54e667eb6
Publikováno v:
IEEE Access, Vol 12, Pp 49735-49751 (2024)
Recent technological advances have brought increased attention to aerial robotic manipulators (ARMs), particularly in applications that involve physical interactions using tools such as welding and drilling, as well as in the autonomous pickup and tr
Externí odkaz:
https://doaj.org/article/6c20eb1026ef4b2791f46ac7163139b2
Autor:
Celso O. Barcelos, Leonardo A. Fagundes-Júnior, André Luis C. Mendes, Daniel C. Gandolfo, Alexandre S. Brandão
Publikováno v:
Drones, Vol 8, Iss 9, p 490 (2024)
This work focuses on the use of load sensors to help with spraying tasks using unmanned aerial vehicles (UAVs). The study details the construction of a prototype for load measurement to validate the proof of concept. To simulate the application of ag
Externí odkaz:
https://doaj.org/article/6b3af21e48374cee99f117771aa54e29
Autor:
G, Amico, L, Banov, V, Capra, R, Caorsi, F, Caroli, C, Gandolfo, T, Giacomini, AC, Molinari, P, Moretti, A, Moscatelli, L, Nobili, A, Palmieri, M, Pavanello, G, Prato, A, Rimini, A, Ronchetti, S, Signa, S, Uccella, Grossi, Alice a, 1, Severino, Mariasavina b, 1, Rusmini, Marta a, Tortora, Domenico b, Ramenghi, Luca A. c, Cama, Armando d, Rossi, Andrea b, Di Rocco, Maja e, 2, Ceccherini, Isabella a, ∗, 2, Bertamino, Marta f
Publikováno v:
In European Journal of Medical Genetics November 2020 63(11)
Autor:
Bryan S. Guevara, Luis F. Recalde, José Varela-Aldás, Victor H. Andaluz, Daniel C. Gandolfo, Juan M. Toibero
Publikováno v:
Drones, Vol 7, Iss 2, p 144 (2023)
Transport, rescue, search, surveillance, and disaster relief tasks are some applications that can be developed with unmanned aerial vehicles (UAVs), where accurate trajectory tracking is a crucial property to operate in a cluttered environment or und
Externí odkaz:
https://doaj.org/article/ae5f08af05bf4d0c8a9ec5a3e1cb6a81
Autor:
L. Pasquale, A. Maurano, G. Cengia, P. Da Massa Carrara, B. Germanà, M.G. Graziani, G. Manes, A. Pisani, M. Golia, E. Marciano, L. Rodella, L. Schiffino, C. Gandolfo, C. Terrosi, M.G. Cusi
Publikováno v:
Infection Prevention in Practice, Vol 3, Iss 2, Pp 100123- (2021)
Summary: Re-usable air/water and suction valves used in endoscopes often demonstrate risk of infection. To the authors' knowledge, the safety and efficacy of re-usable and single-use valves have not been compared to date. As such, a laboratory invest
Externí odkaz:
https://doaj.org/article/5e823ba13af24e57b19b4c1f6592f7a9
Autor:
Luis F. Recalde, Bryan S. Guevara, Christian P. Carvajal, Victor H. Andaluz, José Varela-Aldás, Daniel C. Gandolfo
Publikováno v:
Sensors, Vol 22, Iss 13, p 4712 (2022)
Accurate trajectory tracking is a critical property of unmanned aerial vehicles (UAVs) due to system nonlinearities, under-actuated properties and constraints. Specifically, the use of unmanned rotorcrafts with accuracy trajectory tracking controller
Externí odkaz:
https://doaj.org/article/250487173e194a46bfd209882cfe0cb7
Publikováno v:
IEEE Transactions on Control Systems Technology. :1-15
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61395922b4af5c8fb6e535b29730449b
https://doi.org/10.1109/tcst.2023.3240541
https://doi.org/10.1109/tcst.2023.3240541
Autor:
Ramyar Molania, Momeneh Foroutan, Johann A. Gagnon-Bartsch, Luke C. Gandolfo, Aryan Jain, Abhishek Sinha, Gavriel Olshansky, Alexander Dobrovic, Anthony T. Papenfuss, Terence P. Speed
Publikováno v:
Nature Biotechnology. 41:82-95
Accurate identification and effective removal of unwanted variation is essential to derive meaningful biological results from RNA sequencing (RNA-seq) data, especially when the data come from large and complex studies. Using RNA-seq data from The Can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::adfb6ddecb67189e249c6275224d4243
https://doi.org/10.1038/s41587-022-01440-w
https://doi.org/10.1038/s41587-022-01440-w
Publikováno v:
PeerJ, Vol 7, p e8260 (2019)
Classification on the basis of gene expression data derived from RNA-seq promises to become an important part of modern medicine. We propose a new classification method based on a model where the data is marginally negative binomial but dependent, th
Externí odkaz:
https://doaj.org/article/391a4e2a63e44b91bfcf7b5831840265