Abstract: Optimization of deep neural networks (DNNs) has been driving modern advancements in artificial intelligence. With DNNs characterized by a prolonged sequence of nonlinear propagation, ...

Abstract: In this article, an optimal position control framework based on online adaptive dynamic programming is proposed for magnetically actuated capsules (MACs). First, sensorless magnetic force ...

Wondering what your customers really want? Right now? In 2025? Here it is: Customers want brands to meet them where they are, in real time, with made-for-them messaging that’s genuinely helpful given ...

In this project, I explored the Mall_Customers.csv dataset with the main focus on customer segmentation using K-Means clustering. The goal was to identify distinct customer groups based on Age, Annual ...

This study develops a unified framework for optimal portfolio selection in jump–uncertain stochastic markets, contributing both theoretical foundations and computational insights. We establish the ...

During the segmentation process, I found that for the same patient, the segmentation results of CT images with different pixel sizes after interpolation vary significantly. The original CT has a pixel ...

Cell segmentation is a crucial step in numerous biomedical imaging endeavors—so much so that the community is flooded with publicly available, state-of-the-art segmentation techniques ready for out-of ...

1 School of Electronic Information, Xijing University, Xi’an, China. 2 Department of Nuclear Medicine, Shaanxi Provincial Cancer Hospital, Xi’an, China. 3 Shaanxi University of Chinese Medicine, ...