research
∙
06/06/2023
DEK-Forecaster: A Novel Deep Learning Model Integrated with EMD-KNN for Traffic Prediction
Internet traffic volume estimation has a significant impact on the busin...
share
research
∙
01/05/2023
DRL-GAN: A Hybrid Approach for Binary and Multiclass Network Intrusion Detection
Our increasingly connected world continues to face an ever-growing amoun...
research
∙
05/09/2022
Transfer Learning Based Efficient Traffic Prediction with Limited Training Data
Efficient prediction of internet traffic is an essential part of Self Or...
research
∙
05/09/2022
Wavelet-Based Hybrid Machine Learning Model for Out-of-distribution Internet Traffic Prediction
Efficient prediction of internet traffic is essential for ensuring proac...
research
∙
05/03/2022
Deep Sequence Modeling for Anomalous ISP Traffic Prediction
Internet traffic in the real world is susceptible to various external an...
research
∙
05/03/2022
An Empirical Study on Internet Traffic Prediction Using Statistical Rolling Model
Real-world IP network traffic is susceptible to external and internal fa...
research
∙
05/03/2022
Towards an Ensemble Regressor Model for Anomalous ISP Traffic Prediction
Prediction of network traffic behavior is significant for the effective ...
research
∙
01/25/2021
Appliance Operation Modes Identification Using Cycles Clustering
The increasing cost, energy demand, and environmental issues has led man...
research
∙
01/04/2021
Towards Network Traffic Monitoring Using Deep Transfer Learning
Network traffic is growing at an outpaced speed globally. The modern net...
research
∙
09/04/2020
Machine Learning Towards Enabling Spectrum-as-a-Service Dynamic Sharing
The growth in wireless broadband users, devices, and novel applications ...
research
∙
08/07/2020
Demand Response For Residential Uses: A Data Analytics Approach
In the Smart Grid environment, the advent of intelligent measuring devic...
research
∙
04/22/2020
