In this study, the predictive power of three different machine learning (ML)-based
approaches, namely, multi-gene genetic programming (MGGP), M5 model trees (M5Tree) …

Understanding heatwave characteristics is crucial for mitigating their adverse effects in
İstanbul, a densely populated metropolis characterized by a high concentration of buildings …

Data mining and machine learning are two tools that play an important role in the study of
data analysis and decision systems. Classification is a function of data mining. In the …

Thermal indices and thermal comfort maps have great importance in developing health-
minded climate action strategies and livable urban layouts. Especially in cities where …

This paper presents a system that is able to detect physical intrusion in a specific space
based on temperature and humidity change. This specific space was housing hardware …

Abstract Day by day Indoor Agricultural system is becoming more popular and enhancing
agricultural productivity. Smart agriculture systems call on different type of Internet of Things …

This study designed the Smart Poultry Farm system model using the Machine Learning KNN
(K-Nearest Neighbor) method. The model building is based on the dataset obtained from …

Industri mebel di Indonesia merupakan usaha yang memiliki laju perkembangan sangat
pesat. Konsumen memilih menggunakan mebel hasil dari industri karena mebel produksi …

Weather can be defined as the condition of air on earth for a given time and at a given place.
Weather prediction has been of great interest and a challenging task for researchers for so …

The earthquake damage brings significant effects. The resilience of buildings against the
earthquake and the destruction's location is not an efficient outcome from previous research …