Zobrazeno 1 - 10
of 126
pro vyhledávání: '"Felice Andrea Pellegrino"'
Publikováno v:
IEEE Access, Vol 11, Pp 5864-5883 (2023)
In Late-Medieval panel paintings from the Tuscan area, mechanical tools called punches were used to impress repeated motifs on gold foils to create decorative patterns. Such patterns can be used as clues to objectively support the attribution of the
Externí odkaz:
https://doaj.org/article/79e4c8d81c81426d836d92e93f8e68b3
Publikováno v:
IEEE Access, Vol 9, Pp 153171-153187 (2021)
The growing demand for robots able to act autonomously in complex scenarios has widely accelerated the introduction of Reinforcement Learning (RL) in robots control applications. However, the trial and error intrinsic nature of RL may result in long
Externí odkaz:
https://doaj.org/article/9f38aed8c13146a8bbfadadf1817d86b
Publikováno v:
Robotics, Vol 11, Iss 4, p 79 (2022)
Most collaborative robots (cobots) can be taught by hand guiding: essentially, by manually jogging the robot, an operator teaches some configurations to be employed as via points. Based on those via points, Cartesian end-effector trajectories such as
Externí odkaz:
https://doaj.org/article/1bb018c73fd04e6ab98bf9ec8f03cea1
Autor:
Niky Bruchon, Gianfranco Fenu, Giulio Gaio, Simon Hirlander, Marco Lonza, Felice Andrea Pellegrino, Erica Salvato
Publikováno v:
Information, Vol 12, Iss 7, p 262 (2021)
The attainment of a satisfactory operating point is one of the main problems in the tuning of particle accelerators. These are extremely complex facilities, characterized by the absence of a model that accurately describes their dynamics, and by an o
Externí odkaz:
https://doaj.org/article/0a6fcc2aa1f048a5ab2df00e55a4342d
Autor:
Giorgia Nadizar, Eric Medvet, Ola Huse Ramstad, Stefano Nichele, Felice Andrea Pellegrino, Marco Zullich
Publikováno v:
The Knowledge Engineering Review. 37
Biomonitoring plays a crucial role in the assessment of air quality, as it allows to estimate the presence of pollutants, by measuring deviations from normality of the components of an ecosystem. Lichens are among the organisms most commonly used as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc4bca26392f1d298f609c7e242859fb
http://hdl.handle.net/11368/3000574
http://hdl.handle.net/11368/3000574
Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots
Autor:
Giorgia Nadizar, Eric Medvet, Hola Huse Ramstad, Stefano Nichele, Felice Andrea Pellegrino, Marco Zullich
Publikováno v:
Knowledge engineering review
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Artificial neural networks (ANNs) can be employed as controllers for robotic agents. Their structure is often complex, with many neurons and connections, especially when the robots have many sensors and actuators distributed across their bodies and/o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd9789536a36828452d38aec674f62e6
https://hdl.handle.net/11250/3040433
https://hdl.handle.net/11250/3040433
Autor:
Benedetta Liberatori, Ciro Antonio Mami, Giovanni Santacatterina, Marco Zullich, Felice Andrea Pellegrino
Deploying Deep Learning (DL) based object detection (OD) models in low-end devices, such as single board computers, may lead to poor performance in terms of frames-per-second (FPS). Pruning and quantization are well-known compression techniques that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::195933916f31e3c13773b493796f032c
http://hdl.handle.net/11368/3028994
http://hdl.handle.net/11368/3028994
Autor:
Erica Salvato, Davide Zorzenon, Gilberto Pin, Vittorio Casagrande, Felice Andrea Pellegrino, Gianfranco Fenu
Estimating the wear of the single electrical parts of a home appliance without resorting to a large number of sensors is desirable for ensuring a proper level of maintenance by the manufacturers. Deep learning techniques can be effective tools for su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73d036d556d42cab523a568e2ca7c3e2
http://hdl.handle.net/11368/2991559
http://hdl.handle.net/11368/2991559