Zobrazeno 1 - 10
of 502
pro vyhledávání: '"Bayoumi, Magdy"'
Autor:
Adewopo, Victor, Elsayed, Nelly, Elsayed, Zag, Ozer, Murat, Zekios, Constantinos, Abdelgawad, Ahmed, Bayoumi, Magdy
In the dynamic urban landscape, where the interplay of vehicles and pedestrians defines the rhythm of life, integrating advanced technology for safety and efficiency is increasingly crucial. This study delves into the application of cutting-edge tech
Externí odkaz:
http://arxiv.org/abs/2401.03587
Autor:
Lin, Fudong, Crawford, Summer, Guillot, Kaleb, Zhang, Yihe, Chen, Yan, Yuan, Xu, Chen, Li, Williams, Shelby, Minvielle, Robert, Xiao, Xiangming, Gholson, Drew, Ashwell, Nicolas, Setiyono, Tri, Tubana, Brenda, Peng, Lu, Bayoumi, Magdy, Tzeng, Nian-Feng
Publikováno v:
ICCV 2023
Precise crop yield prediction provides valuable information for agricultural planning and decision-making processes. However, timely predicting crop yields remains challenging as crop growth is sensitive to growing season weather variation and climat
Externí odkaz:
http://arxiv.org/abs/2309.09067
The rapid progress in technology innovation usage and distribution has increased in the last decade. The rapid growth of the Internet of Things (IoT) systems worldwide has increased network security challenges created by malicious third parties. Thus
Externí odkaz:
http://arxiv.org/abs/2302.02013
Autor:
Dey, Bappaditya, Dehaerne, Enrique, Khalil, Kasem, Halder, Sandip, Leray, Philippe, Bayoumi, Magdy A.
In this research work, we have demonstrated the application of Mask-RCNN (Regional Convolutional Neural Network), a deep-learning algorithm for computer vision and specifically object detection, to semiconductor defect inspection domain. Stochastic d
Externí odkaz:
http://arxiv.org/abs/2211.02185
Brain Computer Interface (BCI) has great potential for solving many brain signal analysis limitations, mental disorder resolutions, and restoring missing limb functionality via neural-controlled implants. However, there is no single available, and sa
Externí odkaz:
http://arxiv.org/abs/2209.04427
Autor:
Elsayed, Nelly, ElSayed, Zag, Asadizanjani, Navid, Ozer, Murat, Abdelgawad, Ahmed, Bayoumi, Magdy
Understanding human behavior and monitoring mental health are essential to maintaining the community and society's safety. As there has been an increase in mental health problems during the COVID-19 pandemic due to uncontrolled mental health, early d
Externí odkaz:
http://arxiv.org/abs/2208.12812
Autor:
Adewopo, Victor, Elsayed, Nelly, ElSayed, Zag, Ozer, Murat, Abdelgawad, Ahmed, Bayoumi, Magdy
Action detection and public traffic safety are crucial aspects of a safe community and a better society. Monitoring traffic flows in a smart city using different surveillance cameras can play a significant role in recognizing accidents and alerting f
Externí odkaz:
http://arxiv.org/abs/2208.09588
Autor:
Deya, Bappaditya, Goswamif, Dipam, Haldera, Sandip, Khalilb, Kasem, Leraya, Philippe, Bayoumi, Magdy A.
Publikováno v:
In Metrology, Inspection, and Process Control XXXVI, SPIE (2022)
This proposes a novel ensemble deep learning-based model to accurately classify, detect and localize different defect categories for aggressive pitches and thin resists (High NA applications).In particular, we train RetinaNet models using different R
Externí odkaz:
http://arxiv.org/abs/2206.13505
Publikováno v:
SN COMPUT. SCI. 3, 226 (2022)
Cloud Technology is adopted to process video streams because of the great features provided to video stream providers such as the high flexibility of using virtual machines and storage servers at low rates. Video stream providers prepare several form
Externí odkaz:
http://arxiv.org/abs/2204.09423
Autor:
Soosahabi, Reza, Bayoumi, Magdy
In this work, we propose a novel framework to identify and mitigate a recently disclosed covert channel scheme exploiting unprotected broadcast messages in cellular MAC layer protocols. Examples of covert channel are used in data exfiltration, remote
Externí odkaz:
http://arxiv.org/abs/2108.12161