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RefreshNet: Learning Multiscale Dynamics through Hierarchical Refreshing
Forecasting complex system dynamics, particularly for long-term predictions, is persistently hindered by error accumulation and computational burdens.
Deep Reinforcement Learning Based Placement for Integrated Access Backhauling in UAV-Assisted Wireless Networks
The advent of fifth generation (5G) networks has opened new avenues for enhancing connectivity, particularly in challenging environments like remote areas or disaster-struck regions.
QoS Based Contract Design for Profit Maximization in IoT-Enabled Data Markets
The contract design creates a pricing structure for on-demand sensing data for IoT users.
Resilient UAV Formation for Coverage and Connectivity of Spatially Dispersed Users
Unmanned aerial vehicles (UAVs) are a convenient choice for carrying mobile base stations to rapidly setup communication services for ground users.
