We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Abstract: To address the issues of low search efficiency, rough paths, and insufficient computational efficiency in the RRT algorithm, this paper proposes a gravity-guided RRT-Connect path planning ...

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 to implement the Reduced Row Echelon Form (RREF) algorithm from scratch in Python! Step-by-step, we’ll cover the theory, coding process, and practical examples for solving linear systems.

Sometimes, reading Python code just isn’t enough to see what’s really going on. You can stare at lines for hours and still miss how variables change, or why a bug keeps popping up. That’s where a ...

“We’re seeing a lot of respiratory illness and asthma. Croup has started; we’re getting kids admitted for croup. It’s a viral infection, basically. So it doesn’t have to be cold weather, but it tends ...

Brent’s Method is a robust, efficient algorithm for finding zeros of functions, combining bisection, secant, and inverse quadratic interpolation. It is widely used in scientific computing. Adding ...

Abstract: This research sheds light on the path planning algorithm for robots using the rapidly-exploring random tree (RRT). The RRT algorithm builds one path by generating random nodes in the robot's ...