The construction industry is currently going through an intelligent revolution. The profound
transformation of the Industry 4.0 era is made possible by contemporary technologies such …

In recent years, a step change has been seen in the rate of adoption of Industry 4.0
technologies by manufacturers and industrial organizations alike. This article discusses the …

In this study, it was investigated that how machine learning (ML) methods show performance
in different problems having different characteristics. Six ML approaches including Artificial …

This study reviews the common practices and procedures conducted to identify the cost
drivers that the past literature has classified into two main categories: qualitative and …

Abstract Machine learning (ML) and deep learning (DL) are both branches of AI. As a form of
AI, ML automatically adapts to changing datasets with minimal human interference. Deep …

In this study, a water-based graphene oxide nanofluid was utilized in a counter-current flow
double pipe heat exchanger (DPHE). The inner pipe carried the hot fluid (deionized water …

In this study, the predictive power of three different machine learning (ML)-based
approaches, namely, multi-gene genetic programming (MGGP), M5 model trees (M5Tree) …

This research predicted the meteorological drought of Sakarya province in northwest Türkiye
using long short-term memory (LSTM). This deep learning algorithm has gained popularity …

As a powerful artificial intelligence tool, the Artificial Neural Network (ANN) has been
increasingly applied in the field of construction management (CM) during the last few …

Artificial neural networks (ANN) exhibit excellent performance in complex problems and
have been increasingly applied in the research field of construction management (CM) over …