Zobrazeno 1 - 10
of 176
pro vyhledávání: '"Lucio Marcenaro"'
Autor:
Sheida Nozari, Ali Krayani, Pablo Marin, Lucio Marcenaro, David Martin Gomez, Carlo Regazzoni
Publikováno v:
Computers, Vol 13, Iss 7, p 161 (2024)
Equipping autonomous agents for dynamic interaction and navigation is a significant challenge in intelligent transportation systems. This study aims to address this by implementing a brain-inspired model for decision making in autonomous vehicles. We
Externí odkaz:
https://doaj.org/article/7131cea1932f4a13a6e2d8b6d9d4c04b
Autor:
Sheida Nozari, Ali Krayani, Pablo Marin-Plaza, Lucio Marcenaro, David Martin Gomez, Carlo Regazzoni
Publikováno v:
IEEE Access, Vol 10, Pp 49738-49756 (2022)
Classical imitation learning methods suffer substantially from the learning hierarchical policies when the imitative agent faces an unobserved state by the expert agent. To address these drawbacks, we propose an online active learning through active
Externí odkaz:
https://doaj.org/article/438b061716e647899de6b83136db530d
Publikováno v:
Sensors, Vol 23, Iss 15, p 6873 (2023)
Deploying unmanned aerial vehicles (UAVs) as aerial base stations is an exceptional approach to reinforce terrestrial infrastructure owing to their remarkable flexibility and superior agility. However, it is essential to design their flight trajector
Externí odkaz:
https://doaj.org/article/0d3c0dd5323d4e99b1bf0be95485c9e1
Publikováno v:
Sensors, Vol 23, Iss 13, p 6119 (2023)
Autonomous vehicles (AVs) rely on advanced sensory systems, such as Light Detection and Ranging (LiDAR), to function seamlessly in intricate and dynamic environments. LiDAR produces highly accurate 3D point clouds, which are vital for the detection,
Externí odkaz:
https://doaj.org/article/d24afc824a284a7cbbfbe8910680b356
Publikováno v:
Sensors, Vol 22, Iss 6, p 2260 (2022)
In recent days, it is becoming essential to ensure that the outcomes of signal processing methods based on machine learning (ML) data-driven models can provide interpretable predictions. The interpretability of ML models can be defined as the capabil
Externí odkaz:
https://doaj.org/article/fe1062e4924e472792d90c499724f8c4
Publikováno v:
IEEE Access, Vol 5, Pp 9318-9335 (2017)
The emergence of ubiquitous sensing and the Internet of Things (IoT) have inspired the development of “smart” everyday objects, which offer tremendous opportunities for maintaining the quality of life in ambient assisted living (AAL) environments
Externí odkaz:
https://doaj.org/article/9da653f5cfc84f9f9fb23a5f12785dbf
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 13 (2017)
Cognitive radio is a promising technology for frequency allocation to improve the spectrum utilization efficiency of licensed bands. However, in recent years, the attention of the researchers is focused on security issues that have to be faced by cog
Externí odkaz:
https://doaj.org/article/92e4d5977a614dac80ce54e5dd11911a
Autor:
Alexander Gogolev, Lucio Marcenaro
Publikováno v:
Entropy, Vol 16, Iss 5, Pp 2820-2838 (2014)
This paper investigates self-organizing binary majority consensus disturbed by faulty nodes with random and persistent failure. We study consensus in ordered and random networks with noise, message loss and delays. Using computer simulations, we show
Externí odkaz:
https://doaj.org/article/9ef549ad10ba4dde9f3a490713ef9117
Publikováno v:
Sensors, Vol 19, Iss 2, p 327 (2019)
Smart cameras are key sensors in Internet of Things (IoT) applications and often capture highly sensitive information. Therefore, security and privacy protection is a key concern. This paper introduces a lightweight security approach for smart camera
Externí odkaz:
https://doaj.org/article/08f6d275f6d54d888d174afef67caa70
Publikováno v:
IEEE Transactions on Vehicular Technology. 71:12972-12988