This research aims to analyze the continuous structure involved in developing Artificial
Intelligence (AI)-based healthcare systems to ensure sustainable outcomes. A comparison is …

Deep learning accurate predictions of house prices are essential for prospective
homeowners, investors, appraisers, and insurers. However, some studies lack accuracy as …

In this rapidly advancing technological era, the demand for the real estate industry has also
increased, including in the field of house price prediction. House prices fluctuate every year …

A house is a fundamental need for individuals. House sellers can easily determine the
market price of their property using the NJOP formula, which is used in the calculation of …

Mortgages allow for partial or complete prepayment at any time prior to the loan's maturity
date. A mortgage prepayment is risky for the lending institution because it eliminates the …

This paper focuses on the combined application of time series analysis models and machine
learning models in real estate valuation forecasting. When dealing with real estate valuation …

Today, determining the rent for a property is crucial given that the cost of housing increases
annually. Our future generation requires a straightforward method to forecast future property …

Dynamic pricing prediction is widely adopted in many different sectors. In receptive
structures, the price of services (eg room price) is usually set dynamically by the Revenue …