SOTAVerified

Intelligent Communication

Intelligently decide (i) the content of data to be shared/communicated and (ii) the direction in which the chosen data is transmitted.

Papers

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Showing 1–10 of 30 papers

TitleStatusHype
Scaling Language Models: Methods, Analysis & Insights from Training GopherCode2
Deep Reinforcement Learning for Time Allocation and Directional Transmission in Joint Radar-CommunicationCode1
RMDM: Radio Map Diffusion Model with Physics InformedCode1
EMC2-Net: Joint Equalization and Modulation Classification based on Constellation NetworkCode1
An Efficient Deep Learning Model for Automatic Modulation Recognition Based on Parameter Estimation and TransformationCode1
Synthetic Traffic Generation with Wasserstein Generative Adversarial NetworksCode0
MVX-ViT: Multimodal Collaborative Perception for 6G V2X Network Management Decisions Using Vision Transformer.Code0
A Generic Multi-modal Dynamic Gesture Recognition System using Machine LearningCode0
Multi-Agent Feedback Enabled Neural Networks for Intelligent CommunicationsCode0
Deep Learning in Physical Layer: Review on Data Driven End-to-End Communication Systems and their Enabling Semantic Applications—0
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