In-Vehicle Infotainment Systems: Using Bayesian Networks to Model Cognitive Selection of Music Genres

Author:

Dimitrakopoulos George J.,Panagiotopoulos Ilias E.ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Cooperative Multi-UAV Positioning for Aerial Internet Service Management: A Multi-Agent Deep Reinforcement Learning Approach;IEEE Transactions on Network and Service Management;2024-08

2. Real-Time Driver Cognitive Workload Recognition: Attention-Enabled Learning With Multimodal Information Fusion;IEEE Transactions on Industrial Electronics;2024-05

3. Navigating the Infotainment Landscape: Status and Regulations in the Digital Age;2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS);2024-04-18

4. How Dose Aesthetic Design Affect Continuance Intention in In-Vehicle Infotainment Systems? An Exploratory Study;International Journal of Human–Computer Interaction;2024-01-12

5. Deep Learning-Based Business Recommendation System in Intelligent Vehicles;Mobile Information Systems;2023-04-14

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