Assessing the structural integrity of ageing structures that are affected by climate-induced
stressors, challenges traditional engineering methods. The reason is that structural …

This paper provides a method for predicting the energy efficiency of buildings using artificial
intelligence tools. The scopes is twofold: prediction of the levels of the heating load and …

Bridges are vital assets of transport infrastructure, systems, and communities. Damage
characterization is critical in ensuring safety and planning adaptation measures …

In the era of big data processing, numerous techniques prove valuable for analyzing large-
scale datasets. However, the efficient processing of small data is equally crucial, particularly …

Modern artificial intelligence (AI) solutions often face challenges due to the “black box”
nature of deep learning (DL) models, which limits their transparency and trustworthiness in …

Improving the accuracy of intelligent data analysis is an important task in various application
areas. Existing machine learning methods do not always provide a sufficient level of …

Intelligence analysis of tabular datasets in the field of biomedical engineering is a complex
task. This is explained both by the multidimensional datasets and the complex relationships …

Intellectual analysis of small and middle-sized datasets through machine learning tools
presents challenges in various application domains. Existing methods fail to provide …

The task of improving classification accuracy in the case of analysis of short datasets is an
important problem, in particular, for express diagnostics in biomedicine. Hybrid methods …

To enhance the accuracy of analyzing short datasets, this paper proposes a novel ensemble
learning method that utilizes a single the General Regression Neural Network (GRNN). The …