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Titlebook: Ubiquitous Networking; 8th International Sy Essaid Sabir,Halima Elbiaze,Mohamed Sadik Conference proceedings 2023 The Editor(s) (if applica

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樓主: Pessimistic
21#
發(fā)表于 2025-3-25 04:32:15 | 只看該作者
22#
發(fā)表于 2025-3-25 10:37:03 | 只看該作者
23#
發(fā)表于 2025-3-25 14:12:27 | 只看該作者
24#
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25#
發(fā)表于 2025-3-25 21:51:58 | 只看該作者
Road Accident Analysis of?Dhaka City Using Counter Propagation Networkangladesh, especially in the capital city Dhaka. This paper aspire to identify the most accident prone regions of Dhaka city using Counter Propagation Network and portrays a comparative analysis between Counter Propagation Network and K-means clustering. The data for predictions has been provided by
26#
發(fā)表于 2025-3-26 01:12:56 | 只看該作者
Reinforcement Learning for Protocol Synthesis in Resource-Constrained Wireless Sensor and IoT Networ IoT networks with ultra-low-complexity wireless transceivers. The paper introduces the use of RL and Multi Arm Bandit (MAB), a specific type of RL, for Medium Access Control (MAC) under different network and traffic conditions. It then introduces a novel learning-based protocol synthesis framework
27#
發(fā)表于 2025-3-26 07:54:19 | 只看該作者
Distributional Reinforcement Learning for?VoLTE Closed Loop Power Control in?Indoor Small Cellssed-loop power control with small cells serving an indoor environment. We model the power control problem using DRL to efficiently manage the uncertainty in the function approximation process used to evaluate the power control decisions. The proposed DRL-based power control algorithm greatly improve
28#
發(fā)表于 2025-3-26 10:32:28 | 只看該作者
29#
發(fā)表于 2025-3-26 16:00:23 | 只看該作者
30#
發(fā)表于 2025-3-26 19:21:46 | 只看該作者
Distributional Reinforcement Learning for?VoLTE Closed Loop Power Control in?Indoor Small Cellsnty in the function approximation process used to evaluate the power control decisions. The proposed DRL-based power control algorithm greatly improves the performance w.r.t. Fixed Power Allocation and Deep Q-Networks-based approaches in terms of voice calls retainability.
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