Sfoglia per Autore
Deep Reinforcement Learning Based Self-Configuring Integral Sliding Mode Control Scheme for Robot Manipulators
2018-01-01 Sangiovanni, Bianca; Incremona, Gian Paolo; Ferrara, Antonella; Piastra, Marco
Embedded Real-Time Fall Detection with Deep Learning on Wearable Devices
2018-01-01 Torti, Emanuele; Fontanella, Alessandro; Musci, Mirto; Blago, Nicola; Danilo, Pau; Leporati, Francesco; Piastra, Marco
Deep Reinforcement Learning for Collision Avoidance of Robotic Manipulators
2018-01-01 Sangiovanni, Bianca; Rendiniello, Angelo; Incremona, Gian Paolo; Ferrara, Antonella; Piastra, Marco
Embedding Recurrent Neural Networks in Wearable Systems for Real-Time Fall Detection
2019-01-01 Torti, Emanuele; Fontanella, Alessandro; Musci, Mirto; Blago, Nicola; Pau, Danilo; Leporati, Francesco; Piastra, Marco
Deep Recurrent Neural Networks for Edge Monitoring of Personal Risk and Warning Situations
2019-01-01 Torti, Emanuele; Musci, Mirto; Guareschi, Federico; Leporati, Francesco; Piastra, Marco
Non-monotonic, lily-like twist distribution in toroidal nematics
2019-01-01 Pedrini, Andrea; Piastra, Marco; Virga, Epifanio G
Online Fall Detection using Recurrent Neural Networks on Smart Wearable Devices
2020-01-01 Musci, Mirto; DE MARTINI, Daniele; Blago, Nicola; Facchinetti, Tullio; Piastra, Marco
Self-Configuring Robot Path Planning With Obstacle Avoidance via Deep Reinforcement Learning
2021-01-01 Sangiovanni, B; Incremona, Gp; Piastra, M; Ferrara, A
Many-to-Many Metrics: A New Approach to Evaluate the Performance of Structural Damage Detection Networks
2023-01-01 Dondi, Piercarlo; Senaldi, Ilaria; Lombardi, Luca; Piastra, Marco
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Deep Reinforcement Learning Based Self-Configuring Integral Sliding Mode Control Scheme for Robot Manipulators | 1-gen-2018 | Sangiovanni, Bianca; Incremona, Gian Paolo; Ferrara, Antonella; Piastra, Marco | |
| Embedded Real-Time Fall Detection with Deep Learning on Wearable Devices | 1-gen-2018 | Torti, Emanuele; Fontanella, Alessandro; Musci, Mirto; Blago, Nicola; Danilo, Pau; Leporati, Francesco; Piastra, Marco | |
| Deep Reinforcement Learning for Collision Avoidance of Robotic Manipulators | 1-gen-2018 | Sangiovanni, Bianca; Rendiniello, Angelo; Incremona, Gian Paolo; Ferrara, Antonella; Piastra, Marco | |
| Embedding Recurrent Neural Networks in Wearable Systems for Real-Time Fall Detection | 1-gen-2019 | Torti, Emanuele; Fontanella, Alessandro; Musci, Mirto; Blago, Nicola; Pau, Danilo; Leporati, Francesco; Piastra, Marco | |
| Deep Recurrent Neural Networks for Edge Monitoring of Personal Risk and Warning Situations | 1-gen-2019 | Torti, Emanuele; Musci, Mirto; Guareschi, Federico; Leporati, Francesco; Piastra, Marco | |
| Non-monotonic, lily-like twist distribution in toroidal nematics | 1-gen-2019 | Pedrini, Andrea; Piastra, Marco; Virga, Epifanio G | |
| Online Fall Detection using Recurrent Neural Networks on Smart Wearable Devices | 1-gen-2020 | Musci, Mirto; DE MARTINI, Daniele; Blago, Nicola; Facchinetti, Tullio; Piastra, Marco | |
| Self-Configuring Robot Path Planning With Obstacle Avoidance via Deep Reinforcement Learning | 1-gen-2021 | Sangiovanni, B; Incremona, Gp; Piastra, M; Ferrara, A | |
| Many-to-Many Metrics: A New Approach to Evaluate the Performance of Structural Damage Detection Networks | 1-gen-2023 | Dondi, Piercarlo; Senaldi, Ilaria; Lombardi, Luca; Piastra, Marco |
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