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 | 120 | 2022 |
Comparison of the antibacterial activity of calcium silicate- and epoxy resin-based endodontic sealers against Enterococcus faecalis biofilms: a confocal laser … S Alsubait, S Albader, N Alajlan, N Alkhunaini, A Niazy, A Almahdy Odontology 107, 513-520, 2019 | 85 | 2019 |
DDD TinyML: a TinyML-based driver drowsiness detection model using deep learning NN Alajlan, DM Ibrahim Sensors 23 (12), 5696, 2023 | 22 | 2023 |
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 | 9 | 2019 |
Effectiveness of Adopting Cloud-Based E-Learning at Qassim University N Alajlan, M Hadwan, DM Ibrahim The Computer Journal 65 (5), 1098-1106, 2022 | 8 | 2022 |
Assessing the knowledge and attitudes of group of mothers living in Saudi Arabia with regards to their children's oral health: A cross-sectional study AB AlJameel, AB Mubayrik, EM Hadlaq, N Alagil, N AlAjlan, M AlShenaifi, ... Australasian Medical Journal (Online) 10 (11), 964-972, 2017 | 7 | 2017 |
Original Research Article TinyML: Adopting tiny machine learning in smart cities NN Alajlan, DM Ibrahim Journal of Autonomous Intelligence 7 (4), 2024 | 6 | 2024 |
TinyML: enabling of inference deep learning models on ultra-low-power IoT edge devices for AI applications,” Micromachines, 13 (6): 851 NN Alajlan, DM Ibrahim | 5 | 2022 |
Deep smart cities: A review of smart cities applications-based an inference of deep learning upon iot devices NN Alajlan, DM Ibrahim population 5, 6, 2025 | 3 | 2025 |
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 |
ISeCure N Alajlan, M Alyahya, N Alghasham, DM Ibrahim | | 2020 |