| Using the technology acceptance model in understanding academics’ behavioural intention to use learning management systems S Alharbi, S Drew University Of Tasmania, 2014 | 1094 | 2014 |
| Mobile learning-system usage: Scale development and empirical tests S Alharbi, S Drew University Of Tasmania, 2014 | 39 | 2014 |
| The role of self-efficacy in technology acceptance S Alharbi, S Drew Proceedings of the Future Technologies Conference (FTC) 2018: Volume 1, 1142 …, 2019 | 38 | 2019 |
| Mobile learning-system usage: An integrated framework to measure students' behavioural intention S Alharbi, S Drew 2014 Science and Information Conference, 906-911, 2014 | 6 | 2014 |
| Bridging the gaps in engineering curriculum through systems engineering approach M Nawab, A Alblawi, A Alsayyari, S Alharbi 2020 IEEE Global Engineering Education Conference (EDUCON), 1230-1236, 2020 | 2 | 2020 |
| Hybrid CNN-GRU Model for Real-Time Blood Glucose Forecasting: Enhancing IoT-Based Diabetes Management with AI SM Ibrahim Alkanhel,Hager Saleh,Ahmed Elaraby,Saleh Alharbi,Hela Elmannai ... Sensors 24 (23), 16, 2024 | | 2024 |
| Swin-GA-RF: genetic algorithm-based Swin Transformer and random forest for enhancing cervical cancer classification MA Alohali, N El-Rashidy, S Alaklabi, H Elmannai, S Alharbi, H Saleh Frontiers in Oncology 14, 1392301, 2024 | | 2024 |
Steve DrewSenior Lecturer, Tasmanian Institute of Learning and Teaching在 utas.edu.au 的电子邮件经过验证
