Training robust deep learning models is critical in Earth Observation, where globally deployed models often face distribution shifts that degrade performance, especially in low-data regions.

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: Set-valued data are commonly used to represent subsets of a universal set and are frequently utilized in online services, such as online shopping preferences, website browsing records, and ...

Microsoft has delivered some blows to Task Manager in recent times. As noted last week by PC Gamer's Andy Edser, the Windows team recently stamped out a bug that granted Task Manager immortality. The ...

Can you chip in? As an independent nonprofit, the Internet Archive is fighting for universal access to quality information. We build and maintain all our own systems, but we don’t charge for access, ...

Abstract: This letter studies the meta distribution of uplink signal-to-interference ratio (SIR) in autonomous aerial vehicles (AAV) networks with multi-user interference by stochastic geometry theory ...