Abstract: Aiming at the problem of insufficient accuracy of traditional license plate recognition system, this paper proposes a Matlab-based optimization design scheme for license plate recognition ...

Annealing processors (APs) are gaining popularity for solving complex optimization problems. Fully-coupled Ising model APs are especially valued for their flexibility, but balancing capacity (number ...

Python and MATLAB are valuable for an electrical engineer's career, but the better choice depends on your field, industry, and career goals. Electrical engineers face many challenges: dealing with ...

Heidi S. Enger ’27, an Associate Editorial Editor, is a Social Studies Concentrator in Eliot House. She’s enrolled in Ec10b this semester (don’t ask). Harvard students have to stop treating life like ...

1 School of Mathematics and Statistics, Fuzhou University, Fuzhou, China. 2 College of Computer and Data Science, Fuzhou University, Fuzhou, China. In this paper, we use Physics-Informed Neural ...

Abstract: The field of power systems often requires optimization techniques to solve complex problems. One such problem is the unit commitment problem (UCP), which involves finding the optimal ...

Motion planning and Navigation of AGV/AMR：matlab implementation of Dijkstra, A*, Theta*, JPS, D*, LPA*, D* Lite, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, Voronoi ...

LETO is a new hybrid Lagrangian-Eulerian method for topology optimization. It transfers density information from movable Lagrangian carriers to a fixed set of Eulerian quadratures and solves force ...