Food Additives analysis for predicting Safety and Regulations

Abstract

This study introduces a novel approach utilizing a Convolutional Neural Network-Long ShortTerm Memory (CNN-LSTM) hybrid model for the analysis of food additives, aimed at predicting their safety and regulatory compliance.