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Operation Dream Job is evolving once again, and now comes through malicious dependencies on bare-bones projects.

Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already known about genes, diseases, treatments, molecular pathways and symptoms in ...

I am encountering an issue while using the VCPKG_FEATURE_FLAGS flag in a basic CMake project that only uses the fmt library. My goal is to populate the GitHub dependency graph, following the official ...

Hyperspectral images (HSIs) have very high dimensionality and typically lack sufficient labeled samples, which significantly challenges their processing and analysis. These challenges contribute to ...

CodeQL Dependency Graph Action is focused on capturing as much information from CodeQL databases and build out a bill of materials that was discovered during analysis. This is them uploaded as a ...

ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...

Abstract: Large scale image repository superintendence and retrieval of intelligent images is crucial issue due to abundant growth of images on digital platform. Automatic Image Annotation (AIA) ...

Abstract: Multi-label image recognition is a practical and challenging task. Modeling co-occurrence dependencies between categories is the key to improve performance. Existing methods use conditional ...