The applicability of reinforcement learning methods in the development of industry 4.0 applications

T Kegyes, Z Süle, J Abonyi - Complexity, 2021 - Wiley Online Library
Reinforcement learning (RL) methods can successfully solve complex optimization
problems. Our article gives a systematic overview of major types of RL methods, their …

From cyber–physical convergence to digital twins: A review on edge computing use case designs

MC Hlophe, BT Maharaj - Applied Sciences, 2023 - mdpi.com
As a result of the new telecommunication ecosystem landscape, wireless communication
has become an interdisciplinary field whose future is shaped by several interacting …

Advanced contribution of IoT in agricultural production for the development of smart livestock environments

S Mishra, SK Sharma - Internet of Things, 2023 - Elsevier
Many areas of contemporary life need the use of Artificial Intelligence (AI), Machine Learning
(ML), and the Internet of Things (IoT) for analysis and comprehension. The application of AI …

Predicting attack pattern via machine learning by exploiting stateful firewall as virtual network function in an SDN network

S Prabakaran, R Ramar, I Hussain, BP Kavin… - Sensors, 2022 - mdpi.com
Decoupled data and control planes in Software Defined Networks (SDN) allow them to
handle an increasing number of threats by limiting harmful network links at the switching …

Increasing profitability and monitoring environmental performance: a case study in the agri-food industry through an edge-IoT platform

ME Pérez-Pons, M Plaza-Hernández, RS Alonso… - Sustainability, 2020 - mdpi.com
Globalization has led to a new paradigm where the traditional industries, such as
agriculture, employ vanguard technologies to broaden its possibilities into what is known as …

Priority-aware resource management for adaptive service function chaining in real-time intelligent IoT services

P Tam, S Math, S Kim - Electronics, 2022 - mdpi.com
The growth of the Internet of Things (IoT) in various mission-critical applications generates
service heterogeneity with different priority labels. A set of virtual network function (VNF) …

[PDF][PDF] Multi-Attack Intrusion Detection System for Software-Defined Internet of Things Network.

T Ferrão, F Manene, AA Ajibesin - Computers, Materials & …, 2023 - researchgate.net
Currently, the Internet of Things (IoT) is revolutionizing communication technology by
facilitating the sharing of information between different physical devices connected to a …

A Review on Deep Reinforcement Learning for the management of SDN and NFV in Edge-IoT

RS Alonso, J Prieto, F de La Prieta… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) represents billions of devices collecting valuable information
through different sensors to be transferred to the Cloud, where it is stored and processed to …

AI meets CRNs: A prospective review on the application of deep architectures in spectrum management

MC Hlophe, BT Maharaj - IEEE Access, 2021 - ieeexplore.ieee.org
The spectrum low utilization and high demand conundrum created a bottleneck towards
fulfilling the requirements of next-generation networks. The cognitive radio (CR) technology …

Literature Review of Deep-Learning-Based Detection of Violence in Video

P Negre, RS Alonso, A González-Briones, J Prieto… - Sensors, 2024 - mdpi.com
Physical aggression is a serious and widespread problem in society, affecting people
worldwide. It impacts nearly every aspect of life. While some studies explore the root causes …