for mass exploiting
-
Updated
Jul 14, 2022 - Python
for mass exploiting
A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning (DRL) for Mobile Edge Computing (MEC) | This algorithm captures the dynamics of the MEC environment by integrating the Dueling Double Deep Q-Network (D3QN) model with Long Short-Term Memory (LSTM) networks.
Official impl. of ACM MM paper "Identity-Aware Attribute Recognition via Real-Time Distributed Inference in Mobile Edge Clouds". A distributed inference model for pedestrian attribute recognition with re-ID in an MEC-enabled camera monitoring system. Jointly training of pedestrian attribute recognition and Re-ID.
Object following tracking robot
Python script for Enade and IDD data
Add a description, image, and links to the mec topic page so that developers can more easily learn about it.
To associate your repository with the mec topic, visit your repo's landing page and select "manage topics."