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ORCIDDaniele Berardini
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2020 – today
- 2024
[j4]Daniele Berardini
, Lucia Migliorelli, Alessandro Galdelli, Emanuele Frontoni, Adriano Mancini, Sara Moccia:
A deep-learning framework running on edge devices for handgun and knife detection from indoor video-surveillance cameras. Multim. Tools Appl. 83(7): 19109-19127 (2024)- [c7]Daniele Berardini, Lucia Migliorelli, Lorenzo Cardoni, Christian Parente, Alessandro Rongoni, Daniele Sergiacomi, Adriano Mancini:
Benchmark Analysis of YOLOv8 for Edge AI Video-Surveillance Applications. MESA 2024: 1-7 - [c6]Gagan Narang, Daniele Berardini, Rocco Pietrini, Anna Nora Tassetti, Adriano Mancini, Alessandro Galdelli:
Edge-AI for Buoy Detection and Mussel Farming: A Comparative Study of YOLO Frameworks. MESA 2024: 1-8 - [i3]Alessandro Cacciatore, Valerio Morelli, Federica Paganica, Emanuele Frontoni, Lucia Migliorelli, Daniele Berardini:
A preliminary study on continual learning in computer vision using Kolmogorov-Arnold Networks. CoRR abs/2409.13550 (2024) - 2023
- [j3]Lucia Migliorelli, Daniele Berardini, Kevin Cela, Michela Coccia, Laura Villani, Emanuele Frontoni, Sara Moccia:
A store-and-forward cloud-based telemonitoring system for automatic assessing dysarthria evolution in neurological diseases from video-recording analysis. Comput. Biol. Medicine 163: 107194 (2023) - [j2]Carolina Gonçalves, João M. Lopes, Sara Moccia, Daniele Berardini, Lucia Migliorelli, Cristina P. Santos:
Deep learning-based approaches for human motion decoding in smart walkers for rehabilitation. Expert Syst. Appl. 228: 120288 (2023) - [j1]Lucia Migliorelli, Alessandro Cacciatore, Valeria Ottaviani, Daniele Berardini, Raffaele L. Dellacà, Emanuele Frontoni, Sara Moccia:
TwinEDA: a sustainable deep-learning approach for limb-position estimation in preterm infants' depth images. Medical Biol. Eng. Comput. 61(2): 387-397 (2023) - [c5]Lucia Migliorelli, Sara Moccia, Daniele Berardini, Emanuele Frontoni, Michela Coccia, Laura Villani, Andrea Bandini:
A preliminary study on self-care telemonitoring of dysarthria in spinal muscular atrophy. EMBC 2023: 1-4 - [i2]Carolina Gonçalves, João M. Lopes, Sara Moccia, Daniele Berardini, Lucia Migliorelli, Cristina P. Santos:
Deep learning-based approaches for human motion decoding in smart walkers for rehabilitation. CoRR abs/2301.05575 (2023) - [i1]Lucia Migliorelli, Daniele Berardini, Kevin Cela, Michela Coccia, Laura Villani, Emanuele Frontoni, Sara Moccia:
A store-and-forward cloud-based telemonitoring system for automatic assessing dysarthria evolution in neurological diseases from video-recording analysis. CoRR abs/2309.09038 (2023) - 2022
- [c4]Alessandro Cacciatore, Lucia Migliorelli, Daniele Berardini, Simona Tiribelli, Stefano Pigliapoco, Sara Moccia:
Some Ethical Remarks on Deep Learning-Based Movements Monitoring for Preterm Infants: Green AI or Red AI? ICIAP Workshops 2022: 165-175 - [c3]Daniele Berardini, Alessandro Galdelli, Adriano Mancini, Primo Zingaretti:
Benchmarking of Dual-Step Neural Networks for Detection of Dangerous Weapons on Edge Devices. MESA 2022: 1-6 - 2021
- [c2]Lucia Migliorelli, Daniele Berardini, Francesca Rossini, Emanuele Frontoni, Virginio Paolo Carnielli, Sara Moccia:
Asymmetric Three-dimensional Convolutions For Preterm Infants' Pose Estimation. EMBC 2021: 3021-3024 - 2020
- [c1]Daniele Berardini, Lucia Migliorelli, Sara Moccia, Marcello Naldini, Gioia De Angelis, Emanuele Frontoni:
Evaluating the autonomy of children with autism spectrum disorder in washing hands: a deep-learning approach. ISCC 2020: 1-7
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