Environmental impact analysis of nano-level COVID-19 waste disposal using a comparative deep multi-layer perceptron algorithm
Elkhan Mahmud
The improper disposal of COVID-19-related waste, such as masks, gloves, and personal protective equipment, has contributed to the release of nano-plastics, which degrade into nano-sized particles, posing severe environmental risks. Understanding the impacts of these nano-level particles is essential for mitigating long-term ecological harm. A comparative analysis was conducted to evaluate the effectiveness of the deep multi-layer perceptron (DMLP) algorithm in predicting the environmental impact