Everything has a life cycle.

This paper first discusses the storage structure of trees, selects a convenient storage method for solving the nullity of trees, and then applies the relationship between the maximum matching number ...

A machine learning model to predict the likelihood of heart disease based on medical attributes and lifestyle factors using algorithms like Logistic Regression, Decision Trees, and Random Forest for ...

Abstract: This paper proposes a method that combines extra random trees technology (ERT) and genetic algorithm (GA) for optimal design of motor for robot joints. The target motor is a surface-mounted ...

In our project, we plan to parallelize minimum spanning tree algorithms by, first, parallelizing Kruskal’s algorithm and, then, parallelizing Boruvka’s algorithm. In implementing Kruskal’s algorithm, ...

In order to solve the problems of long path planning time and large number of redundant points in the rapidly-exploring random trees algorithm, this paper proposed an improved algorithm based on the ...

Inspired by earthworms, worm-like robots use peristaltic waves to locomote. While there has been research on generating and optimizing the peristalsis wave, path planning for such worm-like robots has ...