Microsoft has added official Python support to Aspire 13, expanding the platform beyond .NET and JavaScript for building and running distributed apps. Documented today in a Microsoft DevBlogs post, ...

Learn how Log Softmax works and how to implement it in Python with this beginner-friendly guide. Understand the concept, see practical examples, and apply it to your deep learning projects.

Abstract: Anomalous sound detection (ASD) is crucial for the condition monitoring of industrial communication equipment. However, due to the scarcity of anomalous data, existing unsupervised or ...

In our paper, we introduce a margin adaptive synthetic virtual Softmax loss with virtual prototype insertion strategy, which emphasizes the importance of misclassified hard samples. The proposed ...

Recent research has focused on multimodal medical image segmentation. A cascaded V-net and H-DenseUNet approach have improved Dice scores, but at the expense of high computational complexity.

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ABSTRACT: This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional ...

ABSTRACT: The rapid evolution of land use patterns in Lusaka presents significant challenges for sustainable urban development and resource management. This study employs a time-series analysis of ...

Many academic institutions apply their data classification schemas in service of a range of institutional functions. At UW–Madison, for example, we use data classification in the following ways: With ...