Context-aware service discovery: graph techniques for iot network learning and socially connected objects

A Hamrouni, A Khanfor, H Ghazzai, Y Massoud - Ieee Access, 2022 - ieeexplore.ieee.org
Adopting Internet-of-things (IoT) in large-scale environments such as smart cities raises
compatibility and trustworthiness challenges, hindering conventional service discovery and …

Task offloading method based on CNN-LSTM-attention for cloud–edge–end collaboration system

S Liu, B Qiao, D Han, G Wu - Internet of Things, 2024 - Elsevier
Most of the existing task offloading methods in edge computing environments do not fully
utilize the processing capabilities of cloud servers and have high computational complexity …

Resource Dimensioning for Single-Cell Edge Video Analytics

JA Peris, V Fodor - ICC 2023-IEEE International Conference on …, 2023 - ieeexplore.ieee.org
Edge intelligence is an emerging technology where the base stations located at the edge of
the network are equipped with computing units that provide machine learning services to the …

A Fast Resource Allocation Algorithm Based on Reinforcement Learning in Edge Computing Networks Considering User Cooperation

Y **, Z Chen - Electronics, 2023 - mdpi.com
In the 5G era, the amount of network data has grown explosively. A large number of new
computation-intensive applications have created demand for edge computing in mobile …

Socially connected internet-of-things devices for crowd management systems

A Hamrouni - 2023 - repository.kaust.edu.sa
Autonomously monitoring and analyzing the behavior of the crowd is an open research topic
in the transportation field because of its criticality to the safety of people. Real-time …

Hybrid Partitioning System for Embedded and Distributed CNNs Inference on Edge Devices.

N Kaboubi - 2023 - theses.hal.science
The combination of Edge Computing and Artificial Intelligence (AI) technologies offers
additional perspectives for creating innovative and efficient applications for the Internet of …