Machine learning can handle an ever-increasing amount of data with the ability to learn
models from the data. It has been widely used in a variety of disciplines and is gaining …

In this study, changes in the odour of apple slices throughout the drying process were
monitored and documented using electronic nose sensors, while moisture levels were …

It is essential that the control and management of the work of labors in construction project
management is effective. In this study, it is aimed to building artificial intelligence models to …

Safety management of construction projects have a significant impact on the construction
project's schedule and the control carried out on site. Current site safety monitoring methods …

Safety in construction projects is a concern for the industry. Accordingly, numerous studies
have been conducted to address the issue. Machine learning models have been developed …

Purpose-The purpose of this study is to research some of the major problems and
challenges in the construction industry that need to be addressed and solved by various …

The use of neural network (NN) models in everyday life has increased significantly in the
recent years. NN models trained with extensive image libraries are used in the field of image …

The implementation of Artificial Intelligence (AI) systems in the construction industry has
been a topic of interest in recent years due to its potential to improve efficiency, productivity …

Actualmente, el control de avance en partidas de terminación en construcción se realiza
manualmente, lo que toma mucho tiempo, es subjetivo y propenso a errores. Un control …

As cities grow bigger and denser, the need for sustainable urban planning has increased
with climate change already impacting urban life. A well-functioning public transport network …