[HTML][HTML] The key artificial intelligence technologies in early childhood education: a review

H Yi, T Liu, G Lan - Artificial Intelligence Review, 2024 - Springer
Artificial Intelligence (AI) technologies have been applied in various domains, including
early childhood education (ECE). Integration of AI educational technology is a recent …

Automatic classification of transportation modes using smartphone sensors: addressing imbalanced data and enhancing training with focal loss and artificial bee …

X Xu - Journal of Optics, 2024 - Springer
The growing interest in utilizing smartphone sensors to differentiate various transportation
modes stems from its potential benefits across multiple sectors, including health monitoring …

[HTML][HTML] Risk factor analysis and risk prediction study of obesity in steelworkers: model development based on an occupational health examination cohort dataset

Z Zhao, H Lu, R Meng, Z Si, H Wang, X Wang… - Lipids in Health and …, 2024 - Springer
Background Obesity is increasingly recognized as a grave public health concern globally. It
is associated with prevalent diseases including coronary heart disease, fatty liver, type 2 …

[HTML][HTML] Prediction of adolescent weight status by machine learning: a population-based study

H Liu, YC Wu, PH Chau, TWH Chung, DYT Fong - BMC Public Health, 2024 - Springer
Background Adolescent weight problems have become a growing public health concern,
making early prediction of non-normal weight status crucial for effective prevention …

Exploring Feature Selection and Supervised Classification Algorithms for Predicting Obesity Among Rural Women for Policy Decisions

K Ajayi, IH Ajayi, OD Awe, OO Awe - Sustainable Statistical and Data …, 2024 - Springer
Obesity is one of the major risk factors responsible for several noncommunicable diseases,
resulting in high morbidity and mortality. The purpose of this study is to compare the …