IoT‐Based Reinforcement Learning Using Probabilistic Model for Determining Extensive Exploration through Computational Intelligence for Next‐Generation …
PK Tiwari, P Singh, NK Rajagopal… - Computational …, 2023 - Wiley Online Library
Computing intelligence is built on several learning and optimization techniques.
Incorporating cutting‐edge learning techniques to balance the interaction between …
Incorporating cutting‐edge learning techniques to balance the interaction between …
A Dueling Deep Recurrent Q‐Network Framework for Dynamic Multichannel Access in Heterogeneous Wireless Networks
H Chen, H Zhao, L Zhou, J Zhang, Y Liu… - Wireless …, 2022 - Wiley Online Library
This paper investigates a deep reinforcement learning algorithm based on dueling deep
recurrent Q‐network (Dueling DRQN) for dynamic multichannel access in heterogeneous …
recurrent Q‐network (Dueling DRQN) for dynamic multichannel access in heterogeneous …
Electromagnetic Noise as Entropy Source for Cryptographic System
J Nemec, S Kovar, I Kavankova… - 2022 International …, 2022 - ieeexplore.ieee.org
This paper presents a system for gathering electromagnetic noise to extract surrounding
entropy at 430 MHz. The uniqueness of electromagnetic noise depends on geographical …
entropy at 430 MHz. The uniqueness of electromagnetic noise depends on geographical …