Objectives This study aimed to investigate the effects of long-term and habitual physical activity on mortality and long-term care insurance (LTCI) certification among cancer survivors using a ...
Abstract: Deep learning is a powerful technique for data-driven learning in the era of Big Data. However, most deep learning models are deterministic models that ignore the uncertainty of data. Fuzzy ...
Distributed Integrated Energy Microgrid, as a key infrastructure for the low-carbon transition of regional energy systems, faces critical challenges in achieving optimal operation—primarily due to ...
The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...
Abstract: Kidney-related diseases such as tumors, cysts, and stones are common, so prompt and precise diagnosis is essential for better patient outcomes. In this work, we propose developing an ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results