An IoT-platform-based deep learning system for human behavior recognition in smart city monitoring using the Berkeley MHAD datasets
Internet of Things (IoT) technology has been rapidly developing and has been well utilized
in the field of smart city monitoring. The IoT offers new opportunities for cities to use data …
in the field of smart city monitoring. The IoT offers new opportunities for cities to use data …
Green machine learning for green cloud energy efficiency
The efficiency of energy in cloud computing (CC) is one of the critical and vital parameters
for large server-based networks due to CC consuming a great amount of energy and the …
for large server-based networks due to CC consuming a great amount of energy and the …
Green machine learning approach for QoS improvement in cellular communications
Green cellular communications are becoming an important approach due to large-scale and
complex radio networks. Due to the dynamic cellular network behaviors related to …
complex radio networks. Due to the dynamic cellular network behaviors related to …
DELOFF: Decentralized Learning-Based Task Offloading for Multi-UAVs in U2X-Assisted Heterogeneous Networks
A Zhu, H Lu, M Ma, Z Zhou, Z Zeng - Drones, 2023 - mdpi.com
With multi-sensors embedded, flexible unmanned aerial vehicles (UAVs) can collect sensory
data and provide various services for all walks of life. However, limited computing capability …
data and provide various services for all walks of life. However, limited computing capability …
Downlink Power Allocation for CR-NOMA-Based Femtocell D2D Using Greedy Asynchronous Distributed Interference Avoidance Algorithm
This paper focuses on downlink power allocation for a cognitive radio-based non-orthogonal
multiple access (CR-NOMA) system in a femtocell environment involving device-to-device …
multiple access (CR-NOMA) system in a femtocell environment involving device-to-device …
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 …
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
The Multi-access Edge Computing (MEC) technology's quick development greatly benefits
the Collaborative Mobile Infrastructure System (CMIS). To combine the data and produce …
the Collaborative Mobile Infrastructure System (CMIS). To combine the data and produce …
Attacks Detection in 6G Wireless Networks using Machine Learning
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 …
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
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 …
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 …
the Internet, where cybersecurity has become one of the most important areas that are …