Abstract: In this study, a convolutional neural network (CNN) model was developed for non-destructive damage classification of concrete materials based on acoustic emission techniques. The raw ...

Abstract: This study assesses machine learning algorithms, including Random Forest, GS-SVR, Multiple Linear Regression, and AdaBoost, in predicting compressive strength of concrete in construction.

A comprehensive repository for fine-tuning the Donut model for document image classification and parsing tasks. This project provides optimized training pipelines using Hugging Face Transformers with ...