NEURAL NETWORK APPLICATION FOR OPTIMIZING THE SORTING PROCESS OF POLYMER CONTAINERS
Abstract. This study investigates the use of a hybrid neural network architecture that combines convolutional neural networks (CNN) and long short-term memory (LSTM) for efficient sorting of plastic containers. The study focuses on classifying plastic waste based on chemical composition and contamination level, obtained with a near-infrared (NIR) spectroscopy device. Experimental results show that the […]
