The challenges for sustainable cities to protect the environment, ensure economic growth,
and maintain social justice have been widely recognized. Along with the digitization …

Machine Learning (ML), a subset of Artificial Intelligence (AI), is gaining popularity in the
architectural, engineering, and construction (AEC) sector. This systematic study aims to …

In the mass appraisal of properties, Machine Learning (ML) algorithms have produced
effective and promising results. Analysts use various algorithms to train their models with …

Nowadays, there is an increasing use of digital technologies and Artificial Intelligence (AI)
such as Machine Learning (ML) models that leverage data to optimize the performances of …

Hesitant attitudes have been a significant issue since the development of the first vaccines—
the WHO sees them as one of the most critical global health threats. The increasing use of …

This paper summarizes a list of previously used forecasting models in the construction
industry, using a three-stage review process. Specifically, articles published between 2012 …

This paper deals with an investigation centered on developing a real estate app on the basis
of Artificial Intelligence and Virtual Reality technologies. The study explores the advantages …

We study how researchers can apply machine learning (ML) methods in finance. We first
establish that the two major categories of ML (supervised and unsupervised learning) …

For better performance in any team sport, team managers assess the match conditions, and
opponents' strengths and weaknesses to select the best team possible. In cricket, existing …

The stability of municipal revenues is crucial for long-term socio-economic planning at the
city level. This paper presents the impact of changes in legal regulations mandating the …