A survey of video surveillance systems in smart city

Y Myagmar-Ochir, W Kim - Electronics, 2023 - mdpi.com
Smart cities are being developed worldwide with the use of technology to improve the
quality of life of citizens and enhance their safety. Video surveillance is a key component of …

Anomaly detection in 6G networks using machine learning methods

MM Saeed, RA Saeed, M Abdelhaq, R Alsaqour… - Electronics, 2023 - mdpi.com
While the cloudification of networks with a micro-services-oriented design is a well-known
feature of 5G, the 6G era of networks is closely related to intelligent network orchestration …

A Comparative Study on Cloud and Edgeb Computing: A Survey on Current Research Activities and Applications

M Barakat, RA Saeed, S Edam - 2023 IEEE 3rd International …, 2023 - ieeexplore.ieee.org
Cloud computing and edge computing are distinct architectures that process data. Cloud
computing is a centralized model of computing where data is stored and processed in a …

Vision-Based Support for the Detection and Recognition of Drones with Small Radar Cross Sections

SE Abdelsamad, MA Abdelteef, OY Elsheikh, YA Ali… - Electronics, 2023 - mdpi.com
Drones are increasingly vital in numerous fields, such as commerce, delivery services, and
military operations. Therefore, it is essential to develop advanced systems for detecting and …

Task reverse offloading with deep reinforcement learning in multi-access edge computing

MM Saeed, RA Saeed, RA Mokhtar… - … on Computer and …, 2023 - ieeexplore.ieee.org
The Multi-access Edge Computing (MEC) technology's quick development greatly benefits
the Collaborative Mobile Infrastructure System (CMIS). To combine the data and produce …

[HTML][HTML] Energy Efficient CH Selection Scheme Based on ABC and Q-Learning Approaches for IoUT Applications

E Sayed Ali, RA Saeed, IK Eltahir, M Abdelhaq… - Systems, 2023 - mdpi.com
Nowadays, the Internet of Underwater Things (IoUT) provides many marine 5G applications.
However, it has some issues with energy efficiency and network lifetime. The network …

Attacks Detection in 6G Wireless Networks using Machine Learning

MM Saeed, RA Saeed, ASA Gaid… - … on Computer and …, 2023 - ieeexplore.ieee.org
Unlike the fifth generation (5G), which is well recognized for network cloudification with
micro-service-oriented design, the sixth generation (6G) of networks is directly tied to …

Energy Efficient Path Planning Scheme for Unmanned Aerial Vehicle using Hybrid Generic Algorithm Based Q-Learning Optimization

RA Saeed, ES Ali, M Abdelhaq, R Alsaqour… - IEEE …, 2023 - ieeexplore.ieee.org
Efficient path planning optimization strategies are required to maximize flying time while
consuming the least energy. This research offers a novel approach for energy-efficient path …

Machine Learning Techniques for Detecting DDOS Attacks

MM Saeed, HNR Mohammed… - … on Emerging Smart …, 2023 - ieeexplore.ieee.org
The development witnessed by the world of science and technology and the emergence of
the Internet, where cybersecurity has become one of the most important areas that are …

Performance Evaluation of Multi-Access Edge Computing for Blended Learning Services

M Barakat, RA Saeed, S Edam… - 2024 21st Learning …, 2024 - ieeexplore.ieee.org
Multi-access Edge Computing (MEC) is a technology that enables the deployment of cloud
computing capabilities at the edge of the network. It is an emerging technology that has …