AIMC Topic: Leisure Activities
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[Cluster predictors of trajectories of leisure-time physical activity intensity in men and women from ELSA-Brasil].
Cadernos de saude publica
May 19, 2025
The maintenance of physical activity over time is a challenge for public health. Predictors of different physical activity intensities have not been sufficiently analyzed. This study aimed to identify clusters of trajectories of physical activity int...
Design of an Interactive Exercise and Leisure System for the Elderly Integrating Artificial Intelligence and Motion-Sensing Technology.
Sensors (Basel, Switzerland)
Apr 5, 2025
In response to the global trend of population aging, the issue of providing elderly individuals suitable leisure and entertainment has become increasingly important. In this study, it aims to utilize artificial intelligence (AI) technology to offer t...
Planning and layout of tourism and leisure facilities based on POI big data and machine learning.
PloS one
Mar 4, 2025
The spatial arrangement of tourism cities and the strategic placement of tourism and leisure facilities are pivotal to the development of smart tourism cities. The integration of Point of Interest (POI) data, enriched with location-specific insights,...
Effects of Job Crafting and Leisure Crafting on Nurses' Burnout: A Machine Learning-Based Prediction Analysis.
Journal of nursing management
Jun 20, 2024
AIM: To explore the status of job crafting, leisure crafting, and burnout among nurses and to examine the impact of job crafting and leisure crafting variations on burnout using machine learning-based models.
Humor appreciation can be predicted with machine learning techniques.
Scientific reports
Nov 3, 2023
Humor research is supposed to predict whether something is funny. According to its theories and observations, amusement should be predictable based on a wide variety of variables. We test the practical value of humor appreciation research in terms of...
The Future Is Now: How Technology and Entertainment Are Transforming Education in the Artificial Intelligence Era.
Journal of the American College of Radiology : JACR
Aug 11, 2022
Exploration of consumer preference based on deep learning neural network model in the immersive marketing environment.
PloS one
May 4, 2022
The study intends to increase the marketing quantity of various commodities and promote the comprehensive development of the market. The study first discusses the principle and current situation of the emerging Immersive Marketing. Then, it analyzes ...
The Design and Development of a Personalized Leisure Time Physical Activity Application Based on Behavior Change Theories, End-User Perceptions, and Principles From Empirical Data Mining.
Frontiers in public health
Feb 2, 2021
Many adults do not reach the recommended physical activity (PA) guidelines, which can lead to serious health problems. A promising method to increase PA is the use of smartphone PA applications. However, despite the development and evaluation of mul...
Intuitionistic Fuzzy Hierarchical Multi-Criteria Decision Making for Evaluating Performances of Low-Carbon Tourism Scenic Spots.
International journal of environmental research and public health
Aug 28, 2020
Low-carbon tourism is an effective solution to cope with the goal conflict between developing tourist economy and responding to carbon emission reduction and ecological environment protection. Tourism scenic spots are important carriers of tourist ac...
Leisure time physical activity is associated with improved HDL functionality in high cardiovascular risk individuals: a cohort study.
European journal of preventive cardiology
Jun 2, 2020
AIMS: Physical activity has consistently been shown to improve cardiovascular health and high-density lipoprotein-cholesterol levels. However, only small and heterogeneous studies have investigated the effect of exercise on high-density lipoprotein f...
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