[HTML][HTML] Internet traffic prediction with distributed multi-agent learning

W Jiang, M He, W Gu - Applied System Innovation, 2022 - mdpi.com
Internet traffic prediction has been considered a research topic and the basis for intelligent
network management and planning, eg, elastic network service provision and content …

An autoML network traffic analyzer for cyber threat detection

A Papanikolaou, A Alevizopoulos, C Ilioudis… - International Journal of …, 2023 - Springer
Timely detection and effective treatment of cyber-attacks for protecting personal and
sensitive data from unauthorized disclosure constitute a core demand of citizens and a legal …

[HTML][HTML] An Aquatic Product Price Forecast Model Using VMD-IBES-LSTM Hybrid Approach

J Wu, Y Hu, D Wu, Z Yang - Agriculture, 2022 - mdpi.com
Changes in the consumption price of aquatic products will affect demand and fishermen's
income. The accurate prediction of consumer price index provides important information …

Optimal variational mode decomposition and integrated extreme learning machine for network traffic prediction

J Shi, YB Leau, K Li, H Chen - IEEE Access, 2021 - ieeexplore.ieee.org
Network traffic prediction plays a vital role in effective network management, load evaluation
and security warning. Extreme learning machine has the advantages of fast convergence …

A novel network traffic combination prediction model

Z Tian, P Song - International Journal of Communication …, 2022 - Wiley Online Library
Network has become an indispensable part of public life. To improve network utilization,
network performance, network quality, and enhance network security, precise prediction of …

[HTML][HTML] Research on Apparel Retail Sales Forecasting Based on xDeepFM-LSTM Combined Forecasting Model

T Luo, D Chang, Z Xu - Information, 2022 - mdpi.com
Accurate sales forecasting can provide a scientific basis for the management decisions of
enterprises. We proposed the xDeepFM-LSTM combined forecasting model for the …

Some Method of Behavioral Energy Testing of Distributed Computer Systems

O Martynyuk, O Drozd, B Van Thuong… - 2023 13th …, 2023 - ieeexplore.ieee.org
The method of behavioral energy-loaded testing considered in this paper are based on Petri
nets, extended by temperature and volt/ampere characteristics, and have the features of a …

SAVE‐AS: Accelerating convergence in network traffic prediction through adaptive optimized variational mode decomposition and an integrated extreme learning …

J Shi, YB Leau, K Li - International Journal of Communication …, 2022 - Wiley Online Library
Nonlinearity and nonstationary data affect the prediction accuracy of network traffic. A
practical solution is to use an integrated modeling method based on time‐series …

An Ensemble Model to Predict Network Traffic Prediction Model Using RB Multicast Protocol

S Deepa, P Sathishkumar, V Duraivelu… - 2023 7th …, 2023 - ieeexplore.ieee.org
A Vehicular Ad Hoc Network (VANET) is an effective method for addressing group-oriented
services. It is possible to support such services through multicast routing. As a result, packet …

Predicting Network Traffic Anomalies in Denial-of-Service Attacks-A Nonlinear Approach

DW Lau, YB Leau, SF Tan… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
The amount of data moving across the network at any given time is referred to as network
traffic. It is the data units that are encapsulated in packets and sent over a network. Denial-of …