In the rapidly evolving landscape of urban development, where smart cities increasingly rely
on artificial intelligence (AI) solutions to address complex challenges, using AI to accurately …

This study conducts a comprehensive investigation into real estate rental pricing in São
Paulo city, employing an innovative approach that combines advanced machine learning …

The concept of homogeneity in the real estate market is a well-known analysis aspect, yet it
remains a significant challenge in practical implementation. This study aims to fill this …

The aim of this study is to develop a Washington, DC house price prediction model based on
prior transactions in a very interesting and dynamic market. Therefore, we develop predictive …

Dalam dunia ritel konvensional, prediksi penjualan sering kali bergantung pada naluri dan
intuisi, namun dengan meningkatnya kompleksitas data, pendekatan ini menjadi kurang …

In retail companies, the owner needs sales analysis to make decisions in the company's
business processes. Several previous studies have introduced forecasting techniques using …

Cities today face a range of common challenges, including environmental degradation,
climate change, population growth, and resource depletion. These challenges have adverse …

Real estate is one of the largest and most complex markets globally. Dynamic consumer
behaviour, such as that which results in the rapid rate of urbanisation, has caused these …

Open Science as the foundation of transparent and reproducible science is increasingly
being incorporated into curricula. We argue that Open Science education is predestined not …