Moreover, we discuss strategies for metadata selection and human evaluation to ensure the quality and effectiveness of ITDs. By integrating these elements, this tutorial provides a structured ...

Abstract: Meta-analytic structural equation modeling (MASEM) is a new research field, which can help to explain the relationship between a group of variables in several studies by testing a structural ...

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 ...