[HTML][HTML] TinyML for ultra-low power AI and large scale IoT deployments: A systematic review

N Schizas, A Karras, C Karras, S Sioutas - Future Internet, 2022 - mdpi.com
The rapid emergence of low-power embedded devices and modern machine learning (ML)
algorithms has created a new Internet of Things (IoT) era where lightweight ML frameworks …

[HTML][HTML] A comprehensive survey on knowledge-defined networking

PADSN Wijesekara, S Gunawardena - Telecom, 2023 - mdpi.com
Traditional networking is hardware-based, having the control plane coupled with the data
plane. Software-Defined Networking (SDN), which has a logically centralized control plane …

Supporting intelligence in disaggregated open radio access networks: Architectural principles, AI/ML workflow, and use cases

A Giannopoulos, S Spantideas, N Kapsalis… - IEEE …, 2022 - ieeexplore.ieee.org
Driven by the emerging trend for transparent, open and programmable communications,
Open Radio Access Network (O-RAN) constitutes the dominant architectural approach for …

[HTML][HTML] Design of efficient methods for the detection of tomato leaf disease utilizing proposed ensemble CNN model

H Ulutaş, V Aslantaş - Electronics, 2023 - mdpi.com
Early diagnosis of plant diseases is of vital importance since they cause social, ecological,
and economic losses. Therefore, it is highly complex and causes excessive workload and …

Machine learning for service migration: a survey

N Toumi, M Bagaa, A Ksentini - IEEE Communications Surveys …, 2023 - ieeexplore.ieee.org
Future communication networks are envisioned to satisfy increasingly granular and dynamic
requirements to accommodate the application and user demands. Indeed, novel immersive …

[HTML][HTML] A reference architecture for cloud–edge meta-operating systems enabling cross-domain, data-intensive, ML-assisted applications: Architectural overview and …

P Trakadas, X Masip-Bruin, FM Facca, ST Spantideas… - Sensors, 2022 - mdpi.com
Future data-intensive intelligent applications are required to traverse across the cloud-to-
edge-to-IoT continuum, where cloud and edge resources elegantly coordinate, alongside …

[HTML][HTML] Data aging matters: Federated learning-based consumption prediction in smart homes via age-based model weighting

K Skianis, A Giannopoulos, P Gkonis, P Trakadas - Electronics, 2023 - mdpi.com
Smart homes, powered mostly by Internet of Things (IoT) devices, have become very
popular nowadays due to their ability to provide a holistic approach towards effective energy …

[HTML][HTML] Enhancing Network Slicing Security: Machine Learning, Software-Defined Networking, and Network Functions Virtualization-Driven Strategies

J Cunha, P Ferreira, EM Castro, PC Oliveira… - Future Internet, 2024 - mdpi.com
The rapid development of 5G networks and the anticipation of 6G technologies have
ushered in an era of highly customizable network environments facilitated by the innovative …

Towards closed-loop automation in 5g open ran: Coupling an open-source simulator with xapps

T Karamplias, ST Spantideas… - 2022 Joint European …, 2022 - ieeexplore.ieee.org
The goal of this paper is to demonstrate the implementation of technological solutions that
will enable the optimization of 5G network resources and services in an automated and self …

[HTML][HTML] A long short-term memory network-based radio resource management for 5G network

KR Balmuri, S Konda, WC Lai, PB Divakarachari… - Future Internet, 2022 - mdpi.com
Nowadays, the Long-Term Evolution-Advanced system is widely used to provide 5G
communication due to its improved network capacity and less delay during communication …