To overcome the disadvantages of premature convergence and easy trapping into local optimum solutions, this paper proposes an improved particle swarm optimization algorithm (named NDWPSO algorithm) ...

Disease risk prediction is a rising challenge in the medical domain. Researchers have widely used machine learning algorithms to solve this challenge. The k-nearest neighbour (KNN) algorithm is the ...

Trigonometric functions are often used in embedded systems. Motor drivecontrol applications such as the Park Transform, Clarke Transform, andPWMgeneration use trigonometric functions extensively.

Overview: An algorithm is a step-by-step set of instructions that takes an input and produces a clear output, just like a ...