Bev-locator: An end-to-end visual semantic localization network using multi-view images
Accurate localization ability is fundamental in autonomous driving. Traditional visual
localization frameworks approach the semantic map-matching problem with geometric …
localization frameworks approach the semantic map-matching problem with geometric …
Computing offloading and resource scheduling based on DDPG in ultra-dense edge computing networks
R Du, J Wang, Y Gao - The Journal of Supercomputing, 2024 - Springer
To address the current challenge of smart devices in healthcare Internet of things (IoT)
struggling to efficiently process intensive applications in real-time, a collaborative cloud …
struggling to efficiently process intensive applications in real-time, a collaborative cloud …
Intelligent 6G Admission Control Leveraging LSTM-Based Request Forecasting
P Pathak, S Schwarzmann, R Trivisonno… - ICC 2023-IEEE …, 2023 - ieeexplore.ieee.org
5G mechanisms typically rely on resource over-provisioning or static reservations to satisfy
the stringent demands of critical connections. Consequently, 5G networks are inefficient in …
the stringent demands of critical connections. Consequently, 5G networks are inefficient in …
[图书][B] Network Monitoring With SmartNICs in Data Centers and 5G Cellular Networks
S Panda - 2023 - search.proquest.com
The performance and security of modern data centers and 5G networks are critical for
meeting application's service-level objectives and quality-of-experience. Careful scheduling …
meeting application's service-level objectives and quality-of-experience. Careful scheduling …
Reinforcement Learning for Mobile Network Optimization
HMMA Sakka Amini - 2023 - ntnuopen.ntnu.no
Denne oppgaven bruker forsterkningslæring (RL) for å optimalisere ytelsen til
mobilnettverket. Hovedfokuset er å optimalisere ytelsen til overleveringsprosessen …
mobilnettverket. Hovedfokuset er å optimalisere ytelsen til overleveringsprosessen …