Incremental 2D self-labelling for effective 3D medical volume segmentation with minimal annotations
Background The development and application of deep learning-based models have seen significant success in medical image segmentation, transforming diagnostic and treatment processes.
Matthew Anderson +3 more
doaj +1 more source
Admiralty Computing Service [PDF]
John Todd, D. H. Sadler
openaire +1 more source
HyAR-PPO: Hybrid Action Representation Learning for Incentive-Driven Task Offloading in Vehicular Edge Computing. [PDF]
Wang W, Li M, Wu H.
europepmc +1 more source
Phase shift optimization in reconfigurable intelligent surface-assisted UAV in hierarchical aerial computing networks. [PDF]
Diaa B +3 more
europepmc +1 more source
DT-aided resource allocation via generative adversarial imitation learning in complex cloud-edge-end scenarios. [PDF]
Zhang X, Xin M, Li Y, Fu Q.
europepmc +1 more source
Latency and energy-aware adaptive service migration in mobile edge computing. [PDF]
Li L, Lv J, Wang S, Hu C, Sun G, Li N.
europepmc +1 more source
The MadQCI Cloud Scenario: Quantum as a Service. [PDF]
Buruaga JS +6 more
europepmc +1 more source
Computing power network dynamic resource scheduling integrating time series mixing dynamic state estimation and hierarchical reinforcement learning. [PDF]
Liu H +6 more
europepmc +1 more source
A Survey on the Computing Continuum and Meta-Operating Systems: Perspectives, Architectures, Outcomes, and Open Challenges. [PDF]
Gkonis PK +6 more
europepmc +1 more source
Joint optimization of system utility in UAV-enabled edge computing. [PDF]
Zuo H, Zhang E, Tang Y, Yin M, Dong W.
europepmc +1 more source

