Abstract: Reliable and timely data collection poses a significant challenge for underwater wireless sensor networks (UWSNs), primarily due to the extremely low data rate of underwater communication ...
Abstract: The existing deep learning based reversible data hiding (RDH) predictors typically adopt standard convolutions for extracting features, which inherently fails to capture contextual ...
Koheesio is a versatile framework that supports multiple implementations and works seamlessly with various data processing libraries or frameworks. This ensures that Koheesio can handle any data ...
To download the pre-generated dataset used in our paper, please run the following command: We then benchmark the decoding quality and perplexity of those decoding methods. Please check the Benchmark ...
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