The Covid-19 pandemic outbreak across the globe has disrupted human life and industry.
The pandemic has affected every sector, with the real estate sector facing particular …

This study investigates the effectiveness of four machine learning models for predicting
house prices: Linear Regression (LR), Artificial Neural Networks (ANNs), Random Forest …

Abstract The use of Neural Networks in real estate appraisal has been recently subject of
renewed interest by the scientific community. Generally, their effective use requires the …

The capstone aims to provide real estate investors suitable portfolios for investment in
Dubai, considering maximum return on investment as per their investment goals. CRISP-DM …

This paper aims to optimize neural network algorithms in order to improve their predictive
performance and meet the demand for Douyin live sales forecasting. The Douyin live data of …

Running has gained popularity as a fitness activity in China, with a growing number of
young runners utilizing wearable devices to monitor their running routines and engage in …