A survey on machine learning techniques for routing optimization in SDN
In conventional networks, there was a tight bond between the control plane and the data
plane. The introduction of Software-Defined Networking (SDN) separated these planes, and …
plane. The introduction of Software-Defined Networking (SDN) separated these planes, and …
A review of the machine learning algorithms for COVID-19 case analysis
The purpose of this article is to see how machine learning (ML) algorithms and applications
are used in the COVID-19 inquiry and for other purposes. The available traditional methods …
are used in the COVID-19 inquiry and for other purposes. The available traditional methods …
Coronavirus disease (COVID-19) cases analysis using machine-learning applications
Today world thinks about coronavirus disease that which means all even this pandemic
disease is not unique. The purpose of this study is to detect the role of machine-learning …
disease is not unique. The purpose of this study is to detect the role of machine-learning …
Machine learning for physical layer in 5G and beyond wireless networks: A survey
Fifth-generation (5G) technology will play a vital role in future wireless networks. The
breakthrough 5G technology will unleash a massive Internet of Everything (IoE), where …
breakthrough 5G technology will unleash a massive Internet of Everything (IoE), where …
Design and embedded implementation of secure image encryption scheme using DWT and 2D-LASM
In order to further improve the information effectiveness of digital image transmission, an
image-encryption algorithm based on 2D-Logistic-adjusted-Sine map (2D-LASM) and …
image-encryption algorithm based on 2D-Logistic-adjusted-Sine map (2D-LASM) and …
Machine learning techniques in optical networks: a systematic mapping study
G Villa, C Tipantuña, DS Guamán, GV Arévalo… - IEEE …, 2023 - ieeexplore.ieee.org
During the last decade, optical networks have become “smart networks”. Software-defined
networks, software-defined optical networks, and elastic optical networks are some …
networks, software-defined optical networks, and elastic optical networks are some …
AI-enabled traffic control prioritization in software-defined IoT networks for smart agriculture
Smart agricultural systems have received a great deal of interest in recent years because of
their potential for improving the efficiency and productivity of farming practices. These …
their potential for improving the efficiency and productivity of farming practices. These …
Energy efficient resource allocation method for 5G access network based on reinforcement learning algorithm
S Zhao - Sustainable Energy Technologies and Assessments, 2023 - Elsevier
Abstract Edge computing and IIoT (Industrial Internet of Things) are two representative
application scenarios in 5G (5th Generation) mobile communication technology network …
application scenarios in 5G (5th Generation) mobile communication technology network …
Machine learning aided optimization for balanced resource allocations in SDM-EONs
S Petale, S Subramaniam - Journal of Optical Communications and …, 2023 - opg.optica.org
A fine-grained flexible frequency grid for elastic optical transmission and space division
multiplexing in conjunction with spectrally efficient modulations is an excellent solution to the …
multiplexing in conjunction with spectrally efficient modulations is an excellent solution to the …
Experimental evaluation of a latency-aware routing and spectrum assignment mechanism based on deep reinforcement learning
C Hernández-Chulde, R Casellas… - Journal of Optical …, 2023 - opg.optica.org
The introduction of futuristic and challenging use cases of 5G and 6G communications will
demand strict requirements in terms of high bandwidth and low latency. Optical backbone …
demand strict requirements in terms of high bandwidth and low latency. Optical backbone …