Qingchun Wu

Data-driven styling optimization of an intelligent medical waste recycling robot using AHP-CRITIC and SSA-ELM

Abstract To improve the attractiveness and practicality of intelligent medical waste recycling robots, this study proposes a data-driven styling optimization framework integrating Kansei Engineering, AHP-CRITIC weighting, and a Sparrow Search Algorithm-optimized Extreme Learning...