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Accelerating Radio Spectrum Regulation Workflows with Large Language Models (LLMs)
Wireless spectrum regulation is a complex and demanding process due to the rapid pace of technological progress, increasing demand for spectrum, and a multitude of stakeholders with potentially conflicting interests, alongside significant economic implications.
Improving Performance of Object Detection using the Mechanisms of Visual Recognition in Humans
Object recognition systems are usually trained and evaluated on high resolution images.
A Comprehensive Survey of Spectrum Sharing Schemes from a Standardization and Implementation Perspective
As the services and requirements of next-generation wireless networks become increasingly diversified, it is estimated that the current frequency bands of mobile network operators (MNOs) will be unable to cope with the immensity of anticipated demands.
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