Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

In 2025, the H-1B visa system underwent an array of changes that reshaped how skilled foreign workers and their employers engage with US immigration. What began as procedural changes evolved into ...

Abstract: With the advancement of infrared technology, infrared small target detection plays a crucial role in precise guidance and warning systems, attracting widespread attention from researchers.

Abstract: Multi-label feature selection (MFS) aims to select effective features that can be associated with multiple class labels. However, existing MFS methods usually constrain the feature selection ...

The paper accepted by EMNLP 2025 Industry Track. We introduce a dynamic, input-driven multi-agent system (MAS) that executes over learned communication graphs. First, we use Advantage Actor–Critic ...

Introduction Propofol is a widely used sedative-hypnotic agent for critically ill patients requiring invasive mechanical ventilation (IMV). Despite its clinical benefits, propofol is associated with ...

implemented within the mingw c++ environment, this project simulates a graphical object manager using a text-based interface. the primary objective is to showcase manual implementation of data ...