Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and ...
High school students gain PhD-led mentorship, publish original research, and build real-world AI models through ...
Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...
Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
This image visually represents the relationship between risk levels and asset classification, highlighting their importance in financial theory and institutional finance. It reflects concepts ...
ABSTRACT: Cardiovascular diseases (CVDs) are the leading cause of death worldwide, accounting for millions of deaths each year according to the World Health Organization (WHO). Early detection of ...
Abstract: In the field of medical image analysis, medical image classification is one of the most fundamental and critical tasks. Current researches often rely on the off-the-shelf backbone networks ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...
Introduction: Participating in scientific research is a high-impact educational activity for master's students, and cultivating their scientific research innovation capabilities is a key goal of ...
Do you ever find yourself driving without remembering how you got through the last set of intersections? If so, you experience the benefit of automaticity, that is performing a task without much ...
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