Zobrazeno 1 - 10
of 3 694
pro vyhledávání: '"Cheng Nan"'
Publikováno v:
Open Medicine, Vol 19, Iss 1, Pp 85-8 (2024)
This study aimed to investigate whether analgesia nociception index (ANI) could be an indicator of perioperative pain during laparoscopic trocar insertion.
Externí odkaz:
https://doaj.org/article/bd80feefba4a4887b9555a352610457e
The Internet of Vehicles (IoV) network can address the issue of limited computing resources and data processing capabilities of individual vehicles, but it also brings the risk of privacy leakage to vehicle users. Applying blockchain technology can e
Externí odkaz:
http://arxiv.org/abs/2409.17287
Autor:
Zhang, Jun-Jie, Cheng, Nan, Li, Fu-Peng, Wang, Xiu-Cheng, Chen, Jian-Nan, Pang, Long-Gang, Meng, Deyu
Understanding the mechanisms behind neural network optimization is crucial for improving network design and performance. While various optimization techniques have been developed, a comprehensive understanding of the underlying principles that govern
Externí odkaz:
http://arxiv.org/abs/2409.06402
Future 6G networks are envisioned to support mobile augmented reality (MAR) applications and provide customized immersive experiences for users via advanced service provision. In this paper, we investigate user-centric service provision for edge-assi
Externí odkaz:
http://arxiv.org/abs/2409.00324
Intelligent Transportation Systems (ITS) leverage Integrated Sensing and Communications (ISAC) to enhance data exchange between vehicles and infrastructure in the Internet of Vehicles (IoV). This integration inevitably increases computing demands, ri
Externí odkaz:
http://arxiv.org/abs/2408.14831
Unmanned Aerial Vehicles (UAVs), due to their low cost and high flexibility, have been widely used in various scenarios to enhance network performance. However, the optimization of UAV trajectories in unknown areas or areas without sufficient prior i
Externí odkaz:
http://arxiv.org/abs/2409.00036
In the Internet of Vehicles (IoV), Federated Learning (FL) provides a privacy-preserving solution by aggregating local models without sharing data. Traditional supervised learning requires image data with labels, but data labeling involves significan
Externí odkaz:
http://arxiv.org/abs/2408.09194
Radio map (RM) is a promising technology that can obtain pathloss based on only location, which is significant for 6G network applications to reduce the communication costs for pathloss estimation. However, the construction of RM in traditional is ei
Externí odkaz:
http://arxiv.org/abs/2408.08593
Vehicular edge computing (VEC) is an emerging technology with significant potential in the field of internet of vehicles (IoV), enabling vehicles to perform intensive computational tasks locally or offload them to nearby edge devices. However, the qu
Externí odkaz:
http://arxiv.org/abs/2407.13123
This paper investigates a movable antenna (MA)-assisted multiuser integrated sensing and communication (ISAC) system, where the base station (BS) and communication users are all equipped with MA for improving both the sensing and communication perfor
Externí odkaz:
http://arxiv.org/abs/2407.11875