Pakistan's residential sector accounts for a substantial 47% of national electricity
consumption, making it the country's largest electricity-consuming sector. However, there is …

The study developed a method based on photoplethysmography (PPG) and machine
learning algorithms to predict three human-obesity-related indices: body mass index (BMI) …

Purpose This paper aims to analyze and compare housing tenure and model housing price
index (HPI) in Saudi Arabia with selected Organization for Economic Cooperation …

Regression, a supervised machine learning approach, establishes relationships between
independent variables and a continuous dependent variable. It is widely applied in areas …

El objetivo del presente documento es identificar los modelos de Aprendizaje Automático
(AA) más precisos para predecir el valor de una propiedad inmobiliaria, basándose en una …

After China's accession to the WTO, the country has experienced rapid development over
the past 20 years, but the marriage rate has been declining. This study aims to analyze …

Houses have become significant commodity for many parties. For developers and buyers,
houses prices are crucial considerations for property investment. Typically, house price …

Building energy management system is required to achieve sustainable energy in the
context of global environmental and climate change challenges. Energy consumption …

Regression, a supervised machine learning approach, establishes relationships between
independent variables and a continuous dependent variable. It is widely applied in areas …

Nowadays, predicting house prices has long been a fundamental challenge in the real
estate industry and finance. Machine learning methods are utilized to uncover valuable …