Antonino Masaracchia

TL;DR: The integration of external and internal localization methodologies with a multimodality approach can increase the overall accuracy and reliability of the endoscopic device pose estimation both for establishing an optimal control during the endoluminal procedure within a deformable environment and for autonomously identifying position of internal pathologies for retargeting and follow-up.

TL;DR: Performance investigations regarding the proposed framework in finding the optimal set of resources which maximizes jointly the energy efficiency and the downlink throughput fairness among users within the UAV communication range have shown the advantage of the proposed two-step optimization framework.

TL;DR: This paper addresses the optimal problem of the latency/reliablity in digital twins-enabled metaverse by optimizing various communication and computation variables, namely, offloading portions, edge caching policies, bandwidth allocation, transmit power, computation resources of user devices and edge servers.

TL;DR: The charging distances, energy harvesting techniques, electronic device improvements, transmitting issues, etc., are considered to provide an overview of common problems in utilizing and charging UAVs.

TL;DR: In this paper, the authors proposed an aerial reconfigurable intelligent surface (RIS) system to support the stringent constraints of ultra-reliable low latency communication (URLLC), where UAVs employed onboard RIS panels can act as repeaters to reflect the signal from macro base station (MBS) to all users in the networks.