TinyML: Enabling of inference deep learning models on ultra-low-power IoT edge devices for AI applications NN Alajlan, DM Ibrahim Micromachines 13 (6), 851, 2022 | 95 | 2022 |
DDD TinyML: a TinyML-based driver drowsiness detection model using deep learning NN Alajlan, DM Ibrahim Sensors 23 (12), 5696, 2023 | 15 | 2023 |
Effectiveness of Adopting Cloud-Based E-Learning at Qassim University N Alajlan, M Hadwan, DM Ibrahim The Computer Journal 65 (5), 1098-1106, 2022 | 7 | 2022 |
Social commerce in Saudi Arabia: a literature review A Albelaihi, M Alyahya, N Aldieef, N Alghasham, N Alajlan, R Alharbi, ... Int. J. Eng. Res. Technol 12 (12), 3018-3026, 2019 | 7 | 2019 |
Original Research Article TinyML: Adopting tiny machine learning in smart cities NN Alajlan, DM Ibrahim Journal of Autonomous Intelligence 7 (4), 2024 | 3 | 2024 |
Data enhancement for date fruit classification using DCGAN N Alajlan, M Alyahya, N Alghasham, DM Ibrahim THE ISC INTERNATIONAL JOURNAL OF INFORMATION SECURITY 13 (3), 39-48, 2021 | 1 | 2021 |
Deep Smart Cities: A Review of Smart Cities Applications-Based an Inference of Deep Learning Upon IoT Devices NN Alajlan, DM Ibrahim Journal of Advanced Research in Applied Sciences and Engineering Technology …, 2024 | | 2024 |
ISeCure N Alajlan, M Alyahya, N Alghasham, DM Ibrahim | | 2020 |