research
∙
08/18/2023
Leveraging Large Language Models for DRL-Based Anti-Jamming Strategies in Zero Touch Networks
As the dawn of sixth-generation (6G) networking approaches, it promises ...
share
research
∙
07/22/2023
CorrFL: Correlation-Based Neural Network Architecture for Unavailability Concerns in a Heterogeneous IoT Environment
The Federated Learning (FL) paradigm faces several challenges that limit...
research
∙
06/19/2023
Modular Simulation Environment Towards OTN AI-based Solutions
The current trend for highly dynamic and virtualized networking infrastr...
research
∙
03/03/2023
Intelligent O-RAN Traffic Steering for URLLC Through Deep Reinforcement Learning
The goal of Next-Generation Networks is to improve upon the current netw...
research
∙
09/21/2022
An NWDAF Approach to 5G Core Network Signaling Traffic: Analysis and Characterization
Data-driven approaches and paradigms have become promising solutions to ...
research
∙
08/08/2022
A Model Drift Detection and Adaptation Framework for 5G Core Networks
The advent of Fifth Generation (5G) and beyond 5G networks (5G+) has rev...
research
∙
05/30/2022
Towards Supporting Intelligence in 5G/6G Core Networks: NWDAF Implementation and Initial Analysis
Wireless networks, in the fifth-generation and beyond, must support dive...
research
∙
05/05/2022
Intelligent Transportation Systems' Orchestration: Lessons Learned Potential Opportunities
The growing deployment efforts of 5G networks globally has led to the ac...
research
∙
05/05/2022
Sound Event Classification in an Industrial Environment: Pipe Leakage Detection Use Case
In this work, a multi-stage Machine Learning (ML) pipeline is proposed f...
research
∙
10/15/2021
Mobility Aware Edge Computing Segmentation Towards Localized Orchestration
The current trend in end-user devices' advancements in computing and com...
research
∙
10/12/2021
Downtime-Aware O-RAN VNF Deployment Strategy for Optimized Self-Healing in the O-Cloud
Due to the huge surge in the traffic of IoT devices and applications, mo...
research
∙
07/11/2021
Anomaly Detection in Smart Manufacturing with an Application Focus on Robotic Finishing Systems: A Review
As systems in smart manufacturing become increasingly complex, producing...
research
∙
02/19/2021
Making a Case for Federated Learning in the Internet of Vehicles and Intelligent Transportation Systems
With the incoming introduction of 5G networks and the advancement in tec...
research
∙
01/11/2021
Machine Learning Towards Intelligent Systems: Applications, Challenges, and Opportunities
The emergence and continued reliance on the Internet and related technol...
research
∙
12/25/2020
Relationship between Student Engagement and Performance in e-Learning Environment Using Association Rules
The field of e-learning has emerged as a topic of interest in academia d...
research
∙
12/25/2020
DNS Typo-squatting Domain Detection: A Data Analytics Machine Learning Based Approach
Domain Name System (DNS) is a crucial component of current IP-based netw...
research
∙
12/16/2020
Detecting Botnet Attacks in IoT Environments: An Optimized Machine Learning Approach
The increased reliance on the Internet and the corresponding surge in co...
research
∙
12/16/2020
Optimized Random Forest Model for Botnet Detection Based on DNS Queries
The Domain Name System (DNS) protocol plays a major role in today's Inte...
research
∙
11/12/2020
A Transfer Learning Framework for Anomaly Detection Using Model of Normality
Convolutional Neural Network (CNN) techniques have proven to be very use...
research
∙
11/09/2020
Distance-Based Anomaly Detection for Industrial Surfaces Using Triplet Networks
Surface anomaly detection plays an important quality control role in man...
research
∙
10/14/2020
Cost-optimal V2X Service Placement in Distributed Cloud/Edge Environment
Deploying V2X services has become a challenging task. This is mainly due...
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
∙
08/09/2020
Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection
Cyber-security garnered significant attention due to the increased depen...
research
∙
08/05/2020
Bayesian Optimization with Machine Learning Algorithms Towards Anomaly Detection
Network attacks have been very prevalent as their rate is growing tremen...
research
∙
08/03/2020
The Need for Advanced Intelligence in NFV Management and Orchestration
With the constant demand for connectivity at an all-time high, Network S...
research
∙
07/30/2020
On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice
Machine learning algorithms have been used widely in various application...
research
∙
06/15/2020
A Machine Learning-Based Migration Strategy for Virtual Network Function Instances
With the growing demand for data connectivity, network service providers...
research
∙
06/09/2020
Multi-split Optimized Bagging Ensemble Model Selection for Multi-class Educational Data Mining
Predicting students' academic performance has been a research area of in...
research
∙
06/08/2020
Ensemble-based Feature Selection and Classification Model for DNS Typo-squatting Detection
Domain Name System (DNS) plays in important role in the current IP-based...
research
∙
06/08/2020
Softwarization, Virtualization, Machine Learning For Intelligent Effective V2X Communications
The concept of the fifth generation (5G) mobile network system has emerg...
research
∙
06/02/2020
Depth-Optimized Delay-Aware Tree (DO-DAT) for Virtual Network Function Placement
With the constant increase in demand for data connectivity, network serv...
research
∙
05/13/2020
Systematic Ensemble Model Selection Approach for Educational Data Mining
A plethora of research has been done in the past focusing on predicting ...
research
∙
04/24/2020
Introducing Virtual Security Functions into Latency-aware Placement for NFV Applications
The shift towards a completely virtualized networking environment is tri...
research
∙
04/22/2020
Multi-Component V2X Applications Placement in Edge Computing Environment
Vehicle-to-everything (V2X) services are attracting a lot of attention i...
research
∙
01/13/2020
Edge-enabled V2X Service Placement for Intelligent Transportation Systems
Vehicle-to-everything (V2X) communication and services have been garneri...
research
∙
01/13/2020
Machine Learning for Performance-Aware Virtual Network Function Placement
With the growing demand for data connectivity, network service providers...
research
∙
10/18/2019
Tree-based Intelligent Intrusion Detection System in Internet of Vehicles
The use of autonomous vehicles (AVs) is a promising technology in Intell...
research
∙
08/28/2019
Intelligent Active Queue Management Using Explicit Congestion Notification
As more end devices are getting connected, the Internet will become more...
research
∙
02/09/2019
Direct Data Detection of OFDM Signals Over Wireless Channels
This paper presents a novel efficient receiver design for wireless commu...
research
∙
11/26/2012