Assessing Intervention Timing in Computer-Based Education Using Machine Learning Algorithms

Body Mass Index Classification based on Facial Features using Machine Learning Algorithms for utilizing in Telemedicine

Background and Objectives: Due to the impact of controlling BMI on life, BMI classification based on facial features can be used for developing Telemedicine systems and eliminating the limitations of measuring tools, especially for paralyzed people. So that physicians can help people online during the Covid-19 pandemic. Method: In this study, new features and some previous work features were e...

Machine learning algorithms in air quality modeling

Modern studies in the field of environment science and engineering show that deterministic models struggle to capture the relationship between the concentration of atmospheric pollutants and their emission sources. The recent advances in statistical modeling based on machine learning approaches have emerged as solution to tackle these issues. It is a fact that, input variable type largely affec...

Intrusion Detection in Computer Networks based on Machine Learning Algorithms

Network security technology has become crucial in protecting government and industry computing infrastructure. Modern intrusion detection applications face complex requirements; they need to be reliable, extensible, easy to manage, and have low maintenance cost. In recent years, machine learning-based intrusion detection systems have demonstrated high accuracy, good generalization to novel type...

Machine Learning of Computer Vision Algorithms

Assessing a community-based asthma education intervention

Asthma prevalence has increased dramatically in western countries in the last 25 years, and it has been estimated that allergies and asthma affect 30 to 35% of the Canadian population. It has been generally estimated that there are approximately 714,000 Canadians diagnosed with chronic obstructive pulmonary disease (COPD), but it is also estimated that 50% of affected individuals remain undiagn...