This paper reviews real estate price estimation in France, a market that has received little
attention. We compare seven popular machine learning techniques by proposing a different …

Purpose In the literature there are numerous tests that compare the accuracy of automated
valuation models (AVMs). These models first train themselves with price data and property …

The real estate market in China has been growing rapidly during the past decade, with
different property price patterns across various regions. Among different types of properties …

Purpose The Chinese housing market has gone through rapid growth during the past
decade, and house price forecasting has evolved to be a significant issue that draws …

Rapid growth has been seen in the Chinese housing market during the past decade, and
housing price forecasts have become more significant to investors and policy makers. In this …

The Chinese real estate market has grown at such a quick rate over the last few decades, up
to the current falling patterns that began at the end of 2021. This difficulty has made it more …

House price prediction is one of the most important factors affecting national real estate
policies. However, develo** an accurate housing price prediction model is a significant …

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 …

Purpose The assessment of the Real Estate (RE) prices depends on multiple factors that
traditional evaluation methods often struggle to fully understand. Housing prices, in …

In the modern scientific literature, there are many reports about the successful application of
neural network technologies for solving complex applied problems, in particular, for …