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pro vyhledávání: '"Chiara Ghinami"'
Deployment of Machine Learning Algorithms on Resource-Constrained Hardware Platforms for Prosthetics
Publikováno v:
IEEE Access, Vol 12, Pp 40439-40449 (2024)
Motion intent recognition for controlling prosthetic systems has long relied on machine learning algorithms. Artificial neural networks have shown great promise for solving such nonlinear classification tasks, making them a viable method for this pur
Externí odkaz:
https://doaj.org/article/2915ae57ce814c02b09694d0df1cc7af
Autor:
Marcella Venturini, Fernando Secco, Asunción Muñoz, Chiara Ghinami, José M. Leal, Saturnino Ibeas, Begoña García
Publikováno v:
Inorganic chemistry. 42(17)
The behavior of N-phenylbenzohydroxamic acid (PBHA) in organic solvents has been investigated by (1)H and (13)C NMR spectroscopy. Measurements in acetone at different temperatures and concentrations enable one to individualized two signals, in a 20/8