IEEE

Classification of Stunting in Toddlers from Bandarharjo Using K-Nearest Neighbors and Random Forest Algorithms

Abstract: Stunting is a major health priority for children in Indonesia, with a prevalence of $21.6 \%$ in 2022, prompting the government to aim for a reduction to $14 \%$ by 2024 in accordance with ...
Frontiers

Predicting Pacific saury fishing sites using machine learning and spatial environmental variables reflecting recent eastward shifts

In recent years, the Northwest Pacific has seen a decline in Pacific saury (Cololabis saira) catch and an eastward shift of fishing grounds, both of which have posed increasing challenges for ...
IEEE

Research on NPGP Prediction Model Based on Random Forest Algorithm

Abstract: This paper presents a comprehensive study on the development of a NPGP model based on the Random Forest algorithm for predicting medal distributions in international competitions. Initially, ...