Application of Sliding Mode Control in Uncertain Fractional-Order Reaction-Diffusion Memristor Neural Networks In recent years, as neural networks have been widely applied in various fields, the research on their control and stability has gained increasing attention. Fractional-order (FO) memristor neural networks (MNNs), due to their ability to si...

Background and Motivation Understanding fluid motion is crucial for comprehension of our environment and our interactions with it in the field of physics. However, traditional fluid simulation methods face limitations in practical applications due to high computational demands. In recent years, physics-driven neural networks have emerged as a promi...

Distillation of Multi-Class Cervical Lesion Cell Detection via Synthesis-Aided Pre-Training and Patch-Level Feature Alignment Background and Research Significance Cervical cancer is a disease that seriously threatens the life and health of women. According to data from the International Agency for Research on Cancer (IARC), there were approximately...

With the continuous advancement of data acquisition technology, obtaining large amounts of high-dimensional data containing multiple features has become very easy, such as images and vision data. However, traditional machine learning methods, especially those based on vectors and matrices, face challenges such as the curse of dimensionality, increa...

Study of Heterogeneous Hopfield Neural Networks: Dynamic Behavior Analysis Combining Adaptive Activation Functions and Memristors This study investigates the impact of nonlinear factors on the dynamic behavior of neural networks. Specifically, activation functions and memristors are commonly used as nonlinear factors to construct chaotic systems an...

Salient Object Detection in Low-Light RGB-T Scenarios by Mining Spatial-Frequency Cues Salient Object Detection (SOD) holds a significant position in the field of computer vision. Its main task is to identify the most visually attractive regions or objects in an image. Although SOD models have made certain progress in normal lighting environments o...