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CACTUS: a Comprehensive Abstraction and Classification Tool for Uncovering Structures
The availability of large data sets is providing an impetus for driving current artificial intelligent developments.
Towards Receiver-Agnostic and Collaborative Radio Frequency Fingerprint Identification
In this paper, we propose a receiver-agnostic RFFI system that is not sensitive to the changes in receiver characteristics; it is implemented by employing adversarial training to learn the receiver-independent features.
Leveraging Transprecision Computing for Machine Vision Applications at the Edge
Machine vision tasks present challenges for resource constrained edge devices, particularly as they execute multiple tasks with variable workloads.
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