Abstract Machine learning (ML) has become the most successful branch of artificial
intelligence (AI). It provides a unique opportunity to make structural engineering more …

Over the last two decades, the integration of big data and deep learning technologies has
demonstrated remarkable effectiveness across various domains of civil engineering, leading …

A probabilistic neural network (PNN) is presented for predicting the magnitude of the largest
earthquake in a pre-defined future time period in a seismic region using eight …

Utilizing bentonite in composites such as concrete mixture is one of the practical approaches
for adsorption of heavy metals. The mixture of bentonite and normal concrete is known as …

Functional Near-Infrared Spectroscopy (fNIRS) is a wearable optical spectroscopy system
originally developed for continuous and non-invasive monitoring of brain function by …

Image processing (IP), artificial neural network (ANN), and adaptive neuro-fuzzy inference
system (ANFIS) are innovative techniques in computer science that have been widely used …

Water quality is one of the major criteria for determining the planning and operation policies
of water resources systems. In order to classify the quality of a water resource such as an …

In this paper, we used 3D modeling and nonlinear methods (fractal, multifractal, and
probabilistic neural networks (PNN)) for regional mineral potential mapping and quantitative …

Accurate prediction of the fatigue life of asphalt mixtures is a difficult task due to the complex
nature of materials behavior under various loading and environmental conditions. This study …

This study investigates the microstructural characteristics and mechanical strength of vibro-
compacted interlocking concrete blocks, with a particular focus on incorporating image …