Background: Type 2 diabetes mellitus (T2DM) is a highly prevalent non-communicable chronic disease that substantially reduces life expectancy. Accurate estimation of all-cause mortality risk in T2DM ...

Abstract: Dynamic feature selection is critical for improving the flexibility and efficiency of predictive models in machine learning, particularly when dealing with sequential data streams. In this ...

When working with Python code generation tools (e.g., Claude, GPT, etc.), a recurring frustration is their tendency to default to system Python rather than using a virtual environment (venv). Even ...

HERMANTOWN, Minn.- Mirage sophomore Taylee Manion will get another chance to impress the U.S. U-18 higher-ups. Earlier this week, she was invited to their selection camp, set to take place on October ...

Functionality: It will take a video file (or webcam feed) and highlight regions of motion by calculating the absolute difference between the current frame and a reference/background frame. Relevance: ...

Learn how forward propagation works in neural networks using Python! This tutorial explains the process of passing inputs through layers, calculating activations, and preparing data for ...

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...

Abstract: Feature Selection (FS) on high-dimensional data is challenging for evolutionary computation-based FS algorithms. To address the vast decision space of high-dimensional FS problems, this ...