Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Dario Giuse"'
Publikováno v:
IEEE Open Journal of Intelligent Transportation Systems, Vol 4, Pp 481-492 (2023)
This paper addresses the control problem of heterogeneous uncertain nonlinear autonomous vehicle platoons in the presence of adversarial threats arising in Vehicular Ad-hoc NETworks (VANET) during the information sharing process. As unpredictable fau
Externí odkaz:
https://doaj.org/article/b50d53e78a29420bb14320773383d280
Autor:
Dario Giuseppe Lui, Gaetano Tartaglione, Francesco Conti, Gianmaria De Tommasi, Stefania Santini
Publikováno v:
IEEE Access, Vol 11, Pp 30819-30831 (2023)
Due to its extensive applications in different contexts, moving target tracking has become a hot topic in the last years, above all in the military field. Specifically, missile tracking research received a great effort, mainly for its importance in t
Externí odkaz:
https://doaj.org/article/466ecb75f31342e09198604c60f5bf11
A Hybrid Deep Reinforcement Learning and Optimal Control Architecture for Autonomous Highway Driving
Publikováno v:
Energies, Vol 16, Iss 8, p 3490 (2023)
Autonomous vehicles in highway driving scenarios are expected to become a reality in the next few years. Decision-making and motion planning algorithms, which allow autonomous vehicles to predict and tackle unpredictable road traffic situations, play
Externí odkaz:
https://doaj.org/article/40e2271d2de2406a94bfe9ce99f4c8ba
Publikováno v:
Energies, Vol 16, Iss 3, p 1523 (2023)
High energy consumption is one of the main problems of drying, a critical process for many industrial sectors. The optimization of drying energy use results in significant energy saving and has become a topic of interest in recent decades. We investi
Externí odkaz:
https://doaj.org/article/b3cd57b916a14b97840011be8068e34e
Autor:
Jennifer Laws, Haley Vance, Jessica Anderson, Kristina Betters, Sydney Fleishman, Cristopher Bonfield, John Wellons, Dario Giuse, Neal Patel, Lori Jordan, Michael Wolf
Publikováno v:
Critical Care Medicine. 50:31-31
Autor:
Angelo Candeli, Gianmaria de Tommasi, Dario Giuseppe Lui, Adriano Mele, Stefania Santini, Gaetano Tartaglione
Publikováno v:
IEEE Access, Vol 10, Pp 19685-19696 (2022)
In this paper a Deep Reinforcement Learning algorithm, known as Deep Deterministic Policy Gradient (DDPG), is applied to the problem of designing a missile lateral acceleration control system. To this aim, the autopilot control problem is recast in t
Externí odkaz:
https://doaj.org/article/cd4f2651ae704c9bb7db0e3e417daf08
Publikováno v:
IET Control Theory & Applications, Vol 15, Iss 9, Pp 1169-1184 (2021)
Abstract This paper addresses the time‐varying output formation‐containment control problem for homogeneous high‐order linear Multi‐Agent Systems (MASs). In this context, a PID‐like output‐feedback control strategy is proposed capable to
Externí odkaz:
https://doaj.org/article/57daccafc4f14e6fa9986a74686b67c9
Autor:
John, Starmer, Dario, Giuse
Publikováno v:
AMIA ... Annual Symposium proceedings. AMIA Symposium.
Care of mechanically ventilated patients requires coordination between multiple caregivers, necessitating the availability of accurate and timely information on patient status. Researchers have documented positive effects of several interventions on
Autor:
Jack, Starmer, Stephan, Russ, Ian, Jones, Dario, Giuse, Lemuel R, Waitman, John, Doulis, Dominik, Aronsky
Publikováno v:
AMIA ... Annual Symposium proceedings. AMIA Symposium.
Many institutions find it difficult to achieve compliance with quality measures associated with community acquired pneumonia. The goal of this study was to design and implement an automated pneumonia detection and management system in the Emergency D
Publikováno v:
AMIA ... Annual Symposium proceedings. AMIA Symposium.
This poster describes the design and functionality of StarLetter, an electronic patient letter generation tool. StarLetter is integrated into the new results feature of the electronic medical record front end allowing the clinicians to generate elect