Abstract: This study addresses the challenge of generating high-quality motion plans within a short computation time using only a limited dataset. In the informed experience-driven random trees ...

Abstract: To address the issue of genetic algorithm (GA) performance heavily relying on parameter selection, this paper introduces a double-layer loop adaptive parameter tuning mechanism. This ...

The bar model method is a great way to visualise tricky mathematical concepts and solve problems. They are a quick and easy way to represent a situation in a word problem. Bar modelling can be used to ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

The idea that companies must “delight” their customers has become so entrenched that managers rarely examine it. But ask yourself this: How often does someone patronize a company specifically because ...