Titlebook: Intelligent Systems and Pattern Recognition; Third International Akram Bennour,Ahmed Bouridane,Lotfi Chaari Conference proceedings 2024 Th

圓錐體

Staged Reinforcement Learning for?Complex Tasks Through Decomposed Environmentslds. Particularly within the context of intelligent vehicle control, RL has made impressive progress. However, currently it is still in simulated controlled environments where RL can achieve its full super-human potential. Although how to apply simulation experience in real scenarios has been studie

分期付款

Fermentation

obstinate

A Real-Time Deep UAV Detection Framework Based on?a?YOLOv8 Perception Modulerm multiple tasks in various industries. However, arbitrary or malicious use of drones can pose a major risk for public and aviation safety. The automated detection and neutralization of malicious drones to avoid fatal incidents is therefore of primary interest for aerial security systems. Recently,

灰姑娘

匍匐

Multicarrier Waveforms Classification with LDA and CNN for 5Gwer consumption in future wireless generations as 5G. The aim of this paper is to improve the precision classification of various multicarrier waveforms. Here, we propose a novel representation of multicarrier signals in AWGN environment and use suitable networks for classification, which utilizes d

恃強(qiáng)凌弱的人

新義

Champion

Pathogen

Policy Generation from?Latent Embeddings for?Reinforcement Learning the learning procedure and the behaviour outcomes. Consequently, we are interested in discovering whether reinforcement learning can be facilitated with unsupervised learning methods in a manner to alleviate this downfall. This work aims to provide an analysis of the feasibility of using generative