M Afif, R Ayachi, Y Said, M Atri - Journal of Real-Time Image Processing, 2022 - Springer
Indoor object detection and recognition present one of the most crucial tasks for computer vision and robotic systems. Developing new intelligent autonomous robots is required in …
SM Shaaban, M Nawaz, Y Said, M Barr - Engineering, Technology & …, 2023 - etasr.com
Breast cancer is one of the major threats that attack women around the world. Its detection and diagnosis in the early stages can greatly improve care efficiency and reduce mortality …
In today's digital world, some crowded venues still rely on outdated methods, such as counting people using counters or sensors at the entrance. These techniques generally fail …
M Barr - Neural Computing and Applications, 2024 - Springer
The segmentation of remote sensing images has emerged as a compelling undertaking in computer vision owing to its use in the development of several applications. The U-Net style …
M Afif, R Ayachi, S Yahia, M Atri - Advanced AI and Internet of Health …, 2023 - Springer
Since the end of 2019, the whole world is still facing a big damage caused by the COVID-19 pandemic. There is an increasing need to build new robust systems used to recognize …
M Afif, R Ayachi, Y Said, M Atri - … of Research on AI Methods and …, 2023 - igi-global.com
Building new systems used for indoor sign recognition and indoor wayfinding assistance navigation, especially for blind and visually impaired persons, presents a very important …
K Qie, J Wang, Z Li, Z Wang, W Luo - Digital Transportation and …, 2024 - maxapress.com
Urban intersections without traffic signals are prone to accidents involving motor vehicles and pedestrians. Utilizing computer vision technology to detect pedestrians crossing the …
Introduction: In the last few years, new road safety issues have emerged with the growing popularity of novel micromobility vehicles (MMVs). The term 'novel MMV'includes, in addition …