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Machine Learning Towards Intelligent Systems: Applications, Challenges, and Opportunities
The emergence and continued reliance on the Internet and related technol...
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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...
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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...
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Detecting Botnet Attacks in IoT Environments: An Optimized Machine Learning Approach
The increased reliance on the Internet and the corresponding surge in co...
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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...
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A Transfer Learning Framework for Anomaly Detection Using Model of Normality
Convolutional Neural Network (CNN) techniques have proven to be very use...
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Distance-Based Anomaly Detection for Industrial Surfaces Using Triplet Networks
Surface anomaly detection plays an important quality control role in man...
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Cost-optimal V2X Service Placement in Distributed Cloud/Edge Environment
Deploying V2X services has become a challenging task. This is mainly due...
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Machine Learning Towards Enabling Spectrum-as-a-Service Dynamic Sharing
The growth in wireless broadband users, devices, and novel applications ...
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Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection
Cyber-security garnered significant attention due to the increased depen...
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Bayesian Optimization with Machine Learning Algorithms Towards Anomaly Detection
Network attacks have been very prevalent as their rate is growing tremen...
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The Need for Advanced Intelligence in NFV Management and Orchestration
With the constant demand for connectivity at an all-time high, Network S...
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On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice
Machine learning algorithms have been used widely in various application...
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A Machine Learning-Based Migration Strategy for Virtual Network Function Instances
With the growing demand for data connectivity, network service providers...
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Multi-split Optimized Bagging Ensemble Model Selection for Multi-class Educational Data Mining
Predicting students' academic performance has been a research area of in...
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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...
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Softwarization, Virtualization, Machine Learning For Intelligent Effective V2X Communications
The concept of the fifth generation (5G) mobile network system has emerg...
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Depth-Optimized Delay-Aware Tree (DO-DAT) for Virtual Network Function Placement
With the constant increase in demand for data connectivity, network serv...
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Systematic Ensemble Model Selection Approach for Educational Data Mining
A plethora of research has been done in the past focusing on predicting ...
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Introducing Virtual Security Functions into Latency-aware Placement for NFV Applications
The shift towards a completely virtualized networking environment is tri...
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Multi-Component V2X Applications Placement in Edge Computing Environment
Vehicle-to-everything (V2X) services are attracting a lot of attention i...
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Edge-enabled V2X Service Placement for Intelligent Transportation Systems
Vehicle-to-everything (V2X) communication and services have been garneri...
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Machine Learning for Performance-Aware Virtual Network Function Placement
With the growing demand for data connectivity, network service providers...
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Tree-based Intelligent Intrusion Detection System in Internet of Vehicles
The use of autonomous vehicles (AVs) is a promising technology in Intell...
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Intelligent Active Queue Management Using Explicit Congestion Notification
As more end devices are getting connected, the Internet will become more...
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Direct Data Detection of OFDM Signals Over Wireless Channels
This paper presents a novel efficient receiver design for wireless commu...
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A Novel Algorithm for Real-time Procedural Generation of Building Floor Plans
Real-time generation of natural-looking floor plans is vital in games wi...
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