KAT is a suite of tools that analyse jellyfish hashes or sequence files (fasta or fastq) using kmer counts. The following tools are currently available in KAT: kmer: Produces a k-mer hash containing ...
Abstract: In data-driven fault diagnosis, feature selection not only reduces model complexity but also plays a pivotal role in improving prediction accuracy. Existing studies typically employ binary ...
Abstract: Research has shown that deep neural networks (DNNs) have vulnerabilities that can lead to the misrecognition of Adversarial Examples (AEs) with specifically designed pertur-bations. Various ...
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