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Latency and Energy Minimization in NOMA-Assisted MEC Network: A Federated Deep Reinforcement Learning Approach
Multi-access edge computing (MEC) is seen as a vital component of forthcoming 6G wireless networks, aiming to support emerging applications that demand high service reliability and low latency.
Out-of-Distribution Detection using Maximum Entropy Coding
To each statistic we associate its maximum entropy distribution and with this a universal source coder.
Atypicality for Heart Rate Variability Using a Pattern-Tree Weighting Method
Heart rate variability (HRV) is a vital measure of the autonomic nervous system functionality and a key indicator of cardiovascular condition.
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