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Electroencephalogram Signals for Detecting Confused Students in Online Education Platforms with Probability-Based Features
Article discusses how despite the advantages of online education, it lacks face-to-face settings, which makes it very difficult to analyze the students’ level of interaction, understanding, and confusion. This study proposes a novel engineering approach that uses probability-based features (PBF) for increasing the efficacy of machine learning models.
Date:
September 9, 2022
Creator:
Daghriri, Talal; Rustam, Furqan; Aljedaani, Wajdi; Bashiri, Abdullateef H. & Ashraf, Imran
System:
The UNT Digital Library
Role of Artificial Intelligence for Analysis of COVID-19 Vaccination-Related Tweets: Opportunities, Challenges, and Future Trends
Article states that vaccines, though reliable preventative measures for diseases, also raise public concerns; public apprehension and doubts challenge the acceptance of new vaccines including the COVID-19 vaccines. This study is the first attempt to review the role of AI approaches in COVID-19 vaccination-related sentiment analysis.
Date:
September 5, 2022
Creator:
Aljedaani, Wajdi; Saad, Eysha; Rustam, Furqan; de la Torre Díez, Isabel & Ashraf, Imran
System:
The UNT Digital Library