Zobrazeno 1 - 10
of 255
pro vyhledávání: '"Maurizio valle"'
Publikováno v:
IEEE Open Journal of Circuits and Systems, Vol 2, Pp 534-545 (2021)
K-Nearest Neighbor (kNN) is an efficient algorithm used in many applications, e.g., text categorization, data mining, and predictive analysis. Despite having a high computational complexity, kNN is a candidate for hardware acceleration since it is a
Externí odkaz:
https://doaj.org/article/6fcd4104e0fd404992b3cd0ad78a889c
Autor:
Sara Nataletti, Fabrizio Leo, Lucia Seminara, Carlo Trompetto, Maurizio Valle, Strahinja Dosen, Luca Brayda
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 8 (2020)
Stroke patients suffer from impairments of both motor and somatosensory functions. The functional recovery of upper extremities is one of the primary goals of rehabilitation programs. Additional somatosensory deficits limit sensorimotor function and
Externí odkaz:
https://doaj.org/article/d7a2ca953b0f414699798d5f8677e03d
Publikováno v:
Sensors, Vol 22, Iss 3, p 1048 (2022)
The radar shadow effect prevents reliable target discrimination when a target lies in the shadow region of another target. In this paper, we address this issue in the case of Frequency-Modulated Continuous-Wave (FMCW) radars, which are low-cost and s
Externí odkaz:
https://doaj.org/article/c10686ca58bb4420b0041a3e5ace7aa8
Autor:
Maurizio Valle
Publikováno v:
Micromachines, Vol 11, Iss 5, p 506 (2020)
Human skin has remarkable features such as self-healing ability, flexibility, stretchability, high sensitivity and tactile sensing capability [...]
Externí odkaz:
https://doaj.org/article/e0f17bfbfcbe4726912a598199be5792
Publikováno v:
Sensors, Vol 20, Iss 4, p 1160 (2020)
This paper proposes a validation method of the fabrication technology of a screen-printed electronic skin based on polyvinylidene fluoride-trifluoroethylene P(VDF-TrFE) piezoelectric polymer sensors. This required researchers to insure, through non-d
Externí odkaz:
https://doaj.org/article/b6b93935a39f40debcb1a51657befe49
Publikováno v:
Micromachines, Vol 11, Iss 1, p 103 (2020)
Embedding machine learning methods into the data decoding units may enable the extraction of complex information making the tactile sensing systems intelligent. This paper presents and compares the implementations of a convolutional neural network mo
Externí odkaz:
https://doaj.org/article/a51bf48bf12549039046149e7f648ae7
Publikováno v:
Sensors, Vol 14, Iss 6, Pp 10952-10976 (2014)
Tactile sensing helps robots interact with humans and objects effectively in real environments. Piezoelectric polymer sensors provide the functional building blocks of the robotic electronic skin, mainly thanks to their flexibility and suitability fo
Externí odkaz:
https://doaj.org/article/cf1a08aa1a6f4405b99ac9f5048f04de
Publikováno v:
Sensors, Vol 19, Iss 20, p 4437 (2019)
Tactile sensors are widely employed to enable the sense of touch for applications such as robotics and prosthetics. In addition to the selection of an appropriate sensing material, the performance of the tactile sensing system is conditioned by its i
Externí odkaz:
https://doaj.org/article/2e6300d9acf14ac1907fe38227e7f511
Publikováno v:
Sensors, Vol 17, Iss 3, p 558 (2017)
Enabling touch-sensing capability would help appliances understand interaction behaviors with their surroundings. Many recent studies are focusing on the development of electronic skin because of its necessity in various application domains, namely a
Externí odkaz:
https://doaj.org/article/426f4eea384049a388df6447b790f8bd
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 1, Iss 2 (2008)
Probability density estimation (PDF) is a task of primary importance in many contexts, including Bayesian learning and novelty detection. Despite the wide variety of methods at disposal to estimate PDF, only a few of them are widely used in practice
Externí odkaz:
https://doaj.org/article/405c558b45aa4bb989ed1d4a962a19c2