Author:
Obreja Marius-Emanuel,Dobrea Dan-Marius
Publisher
Springer Nature Switzerland
Reference8 articles.
1. Obreja, M.E., Dobrea, D.M.: Developing a versatile framework needed to identify pothole in asphalt using deep learning algorithms. In: 2022 E-Health and Bioengineering Conference (EHB). Iasi (2022). Accessed Oct 2023. https://ieeexplore.ieee.org/document/9991727
2. Dobrea, D.M., Dobrea, M.C., Obreja, M.E.: UAV – embedded system – a selection process. In: 2021 International Symposium on Signals, Circuits and Systems (ISSCS). Iasi (2021). Accessed Oct 2023. https://ieeexplore.ieee.org/document/9497371
3. Lydon, D., Taylor, S.E., Lydon, M., Early, J.: A review of vision-based methods for pothole detection and road profile analysis. Civil Engineering Research in Ireland, pp. 442–447 (2020)
4. Vrejoiu, M.H.: Convolutional neural networks, big data and deep learning in automatic image analysis. Rom. J. Inf. Technol. Autom. Control 29(1), 91–114 (2019)
5. Teja, R., Chappa, N.V.S., El-Sharkawy, M.: Squeeze-and-excitation squeeze next: an efficient DNN for hardware deployment. In: 2020 10th Annual Computing and Communication Workshop and Conference (CCWC). Las Vegas (2020). Accessed Oct 2023. https://ieeexplore.ieee.org/document/9031119