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sed network used only 6.9% of learnable parameters compared to the existing ResNet-50 model and yet outperformed it in classification. The proposed work can be potentially employed in real-time applications due to reduced complexity and fewer learnable parameters over other models.This paper aims to present the main information presented at the 9th meeting about addictovigilance in 2016 by three healthcare professionals and addiction experts on the issue of substance use in young people. The results of surveys conducted in general po