1 |
Examining the Impact of Psychological, Social, and Quality Factors on the Continuous Intention to Use Virtual Meeting Platforms During and beyond COVID-19 Pandemic: A Hybrid SEM-ANN Approach |
1 |
2 |
Understanding the impact of knowledge management factors on the sustainable use of AI-based chatbots for educational purposes using a hybrid SEM-ANN approach |
6 |
3 |
Depression as a mediator between fear of COVID-19 and death anxiety |
1 |
4 |
Predicting the Culturally Responsive Teacher Roles With Cultural Intelligence and Self-Efficacy Using Machine Learning Classification Algorithms |
1 |
5 |
Development of a Scale to Measure Cybercrime-Awareness on Social Media |
2 |
6 |
Understanding the social sustainability of the Metaverse by integrating UTAUT2 and big five personality traits: A hybrid SEM-ANN approach |
7 |
7 |
A complementary SEM and deep ANN approach to predict the adoption of cryptocurrencies from the perspective of cybersecurity |
3 |
8 |
Generation Z use of artificial intelligence products and its impact on environmental sustainability: A cross-cultural comparison |
5 |
9 |
A comparative analysis of classical machine learning and deep learning techniques for predicting lung cancer survivability |
1 |
10 |
Image Processing Approach to Investigate the Correlation between Machining Parameters and Burr Formation in Micro-Milling Processes of Selective-Laser-Melted AISI 316L |
1 |
11 |
Predicting the Intention to Use Learning Analytics for Academic Advising in Higher Education |
1 |
12 |
A Multianalytical SEM-ANN Approach to Investigate the Social Sustainability of AI Chatbots Based on Cybersecurity and Protection Motivation Theory |
1 |
13 |
Understanding pre-service mathematics teachers' intentions to use GeoGebra: The role of technological pedagogical content knowledge |
1 |
14 |
Predicting teachers' sense of efficacy: A multimodal analysis integrating SEM, deep learning, and ANN |
1 |
15 |
Factors predicting green behavior and environmental sustainability in autonomous vehicles: A deep learning-based ANN and PLS-SEM approach |
2 |