Survey on machine learning for traffic-driven service provisioning in optical networks

T Panayiotou, M Michalopoulou… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The unprecedented growth of the global Internet traffic, coupled with the large spatio-
temporal fluctuations that create, to some extent, predictable tidal traffic conditions, are …

On memristors for enabling energy efficient and enhanced cognitive network functions

S Saleh, B Koldehofe - IEEE Access, 2022 - ieeexplore.ieee.org
The high performance requirements of nowadays computer networks are limiting their ability
to support important requirements of the future. Two important properties essential in …

An efficient network intrusion detection approach based on deep learning

Z Wang, D Jiang, L Huo, W Yang - Wireless Networks, 2021 - Springer
With the rapid development of cloud computing and mobile internet, massive network traffic
is generated, with the raging malicious traffic and attacks. Network Intrusion Detection …

Towards Intelligent Monitoring in IoT: AI Applications for Real-Time Analysis and Prediction

W Villegas-Ch, J García-Ortiz, S Sánchez-Viteri - IEEE Access, 2024 - ieeexplore.ieee.org
In the contemporary era, the intersection of the Internet of Things and artificial intelligence
revolutionizes how industries monitor and optimize their operations. In this work, we present …

Image contour detection based on improved level set in complex environment

D Li, L Bei, J Bao, S Yuan, K Huang - Wireless Networks, 2021 - Springer
An improved image segmentation model was established to achieve accurate detection of
target contours under high noise, low resolution, and uneven illumination environments. The …

A Hyperparameters automatic optimization method of time graph convolution network model for traffic prediction

L Chen, L Bei, Y An, K Zhang, P Cui - Wireless Networks, 2021 - Springer
Smart transportation is an essential component of the smart city. Traffic prediction is an
important issue in smart transportation. The convolutional neural networks (GCN) are an …

Bursty data service latency analysis under fractional calculus fluid model of Multi-hop Wireless Networks

L Chen, C Tian, P Cui, K Zhang, Y An - Wireless Networks, 2021 - Springer
A fractional calculus fluid model can be used to better explain the bursty data service traffic,
which is long-range dependence and has a fractal like the feature of network data flow. The …

Adaptive multimode decision tree classification model using effective system analysis in ids for 5g and iot security issues

PT Kalaivaani, R Krishnamoorthy, AS Reddy… - … Communication for 5G …, 2022 - Springer
All networks dramatically replace everyday life with features of human society. In network
authentication, when compatibility and assistance occur at an equal time, the network suffers …

Дискретная оптимизация и информационное моделирование

ИЕ Рогов - Славянский форум, 2022 - elibrary.ru
Статья исследует дискретную оптимизацию. Исследовано применение
информационного моделирования при решении этой задачи моделирование …

Performance analysis of mimic defense based sdn security policy

D Zhang, J Zhang, Y Bu - Proceedings of the 2022 2nd International …, 2022 - dl.acm.org
With the rapid popularization and development of computers and mobile devices, the
corresponding modern network devices and network structures have become more …