GeoSS: Geographic Segmentation Security Barriers for Virtual Emotion Detection With Discriminative Priorities in Intelligent Cooperative Vehicular System - Archive ouverte HAL
Article Dans Une Revue IEEE Transactions on Vehicular Technology Année : 2023

GeoSS: Geographic Segmentation Security Barriers for Virtual Emotion Detection With Discriminative Priorities in Intelligent Cooperative Vehicular System

Résumé

In this paper, we aim to envision 6G convergent terrestrial and non-terrestrial infrastructure of virtual emotion and epidemic prevention with two differential perspectives: Green AI and Red AI, where Green AI focuses on efficiency and reduction, and Red AI additionally pursues accuracy. By fitting with each perspective, we introduce promising key applications using smart devices, autonomous UAVs, mobile robots and subsequently suggest critical future research directions and opportunities toward new frontiers in intelligent terrestrial and non-terrestrial vehicular networks.
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hal-04431199 , version 1 (01-02-2024)

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Citer

Seungheyon Lee, Sooeon Lee, Yumin Choi, Jalel Ben-Othman, Hyunbum Kim. GeoSS: Geographic Segmentation Security Barriers for Virtual Emotion Detection With Discriminative Priorities in Intelligent Cooperative Vehicular System. IEEE Transactions on Vehicular Technology, 2023, 72 (5), pp.6491-6502. ⟨10.1109/TVT.2022.3230923⟩. ⟨hal-04431199⟩
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