Unveiling the data: An analysis of plastic waste with emphasis on the countries of the E³UDRES alliance.

This paper offers an examination of the current plastic waste landscape, with emphasis on the nine countries of the European University Alliance E³UDRES, based on both the literature and official numbers, to verify the alignment of practical waste management practices with scientific tendencies and advancements. The paper includes a bibliometric analysis focusing on the overall plastic waste literature and the plastic waste literature of the E³UDRES countries. Additionally, a mass balance was calculated regarding the domestic waste management of each of the alliance countries in 2021.

Hyperparameter Optimization of a Convolutional Neural Network Model for Pipe Burst Location in Water Distribution Networks.

The current paper presents a hyper parameterization optimization process for a convolutional neural network (CNN) applied to pipe burst locations in water distribution networks (WDN). The hyper parameterization process of the CNN includes the early stopping termination criteria, dataset size, dataset normalization, training set batch size, optimizer learning rate regularization, and model structure. The study was applied using a case study of a real WDN.