Abdallah Shami

Machine Learning Towards Intelligent Systems: Applications, Challenges, and Opportunities

The emergence and continued reliance on the Internet and related technol...
01/11/2021 ∙ by MohammadNoor Injadat, et al. ∙ 11 ∙ share

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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...
12/25/2020 ∙ by Abdallah Moubayed, et al. ∙ 0 ∙ share

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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...
12/25/2020 ∙ by Abdallah Moubayed, et al. ∙ 0 ∙ share

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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...
12/16/2020 ∙ by MohammadNoor Injadat, et al. ∙ 0 ∙ share

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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...
12/16/2020 ∙ by Abdallah Moubayed, et al. ∙ 0 ∙ share

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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...
11/12/2020 ∙ by Sulaiman Aburakhia, et al. ∙ 1 ∙ share

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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...
11/09/2020 ∙ by Tareq Tayeh, et al. ∙ 16 ∙ share

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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...
10/14/2020 ∙ by Abdallah Moubayed, et al. ∙ 0 ∙ share

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Machine Learning Towards Enabling Spectrum-as-a-Service Dynamic Sharing

The growth in wireless broadband users, devices, and novel applications ...
09/04/2020 ∙ by Abdallah Moubayed, et al. ∙ 0 ∙ share

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Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection

Cyber-security garnered significant attention due to the increased depen...
08/09/2020 ∙ by MohammadNoor Injadat, et al. ∙ 0 ∙ share

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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...
08/05/2020 ∙ by MohammadNoor Injadat, et al. ∙ 0 ∙ share

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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...
08/03/2020 ∙ by Dimitrios Michael Manias, et al. ∙ 0 ∙ share

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On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice

Machine learning algorithms have been used widely in various application...
07/30/2020 ∙ by Li Yang, et al. ∙ 242 ∙ share

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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...
06/15/2020 ∙ by Dimitrios Michael Manias, et al. ∙ 0 ∙ share

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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...
06/09/2020 ∙ by MohammadNoor Injadat, et al. ∙ 0 ∙ share

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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...
06/08/2020 ∙ by Abdallah Moubayed, et al. ∙ 0 ∙ share

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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...
06/08/2020 ∙ by Abdallah Moubayed, et al. ∙ 0 ∙ share

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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...
06/02/2020 ∙ by Dimitrios Michael Manias, et al. ∙ 0 ∙ share

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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 ...
05/13/2020 ∙ by MohammadNoor Injadat, et al. ∙ 0 ∙ share

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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...
04/24/2020 ∙ by Ibrahim Tamim, et al. ∙ 0 ∙ share

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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...
04/22/2020 ∙ by Ibrahim Shaer, et al. ∙ 0 ∙ share

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Edge-enabled V2X Service Placement for Intelligent Transportation Systems

Vehicle-to-everything (V2X) communication and services have been garneri...
01/13/2020 ∙ by Abdallah Moubayed, et al. ∙ 0 ∙ share

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Machine Learning for Performance-Aware Virtual Network Function Placement

With the growing demand for data connectivity, network service providers...
01/13/2020 ∙ by Dimitrios Michael Manias, et al. ∙ 0 ∙ share

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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...
10/18/2019 ∙ by Li Yang, et al. ∙ 1 ∙ share

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Intelligent Active Queue Management Using Explicit Congestion Notification

As more end devices are getting connected, the Internet will become more...
08/28/2019 ∙ by Cesar A. Gomez, et al. ∙ 0 ∙ share

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Direct Data Detection of OFDM Signals Over Wireless Channels

This paper presents a novel efficient receiver design for wireless commu...
02/09/2019 ∙ by Anas Saci, et al. ∙ 0 ∙ share

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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...
11/26/2012 ∙ by Maysam Mirahmadi, et al. ∙ 0 ∙ share

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Abdallah Shami

Featured Co-authors

Xianbin Wang

Ali Bou Nassif

Abdallah Moubayed

MohammadNoor Injadat

Anwar Haque

Adel Larabi

Richard Brunner

Hanan Lutfiyya

Dimitrios Michael Manias

Hassan Hawilo

Arafat Al-Dweik

Machine Learning Towards Intelligent Systems: Applications, Challenges, and Opportunities

Relationship between Student Engagement and Performance in e-Learning Environment Using Association Rules

DNS Typo-squatting Domain Detection: A Data Analytics Machine Learning Based Approach

Detecting Botnet Attacks in IoT Environments: An Optimized Machine Learning Approach

Optimized Random Forest Model for Botnet Detection Based on DNS Queries

A Transfer Learning Framework for Anomaly Detection Using Model of Normality

Distance-Based Anomaly Detection for Industrial Surfaces Using Triplet Networks

Cost-optimal V2X Service Placement in Distributed Cloud/Edge Environment

Machine Learning Towards Enabling Spectrum-as-a-Service Dynamic Sharing

Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection

Bayesian Optimization with Machine Learning Algorithms Towards Anomaly Detection

The Need for Advanced Intelligence in NFV Management and Orchestration

On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice

A Machine Learning-Based Migration Strategy for Virtual Network Function Instances

Multi-split Optimized Bagging Ensemble Model Selection for Multi-class Educational Data Mining

Ensemble-based Feature Selection and Classification Model for DNS Typo-squatting Detection

Softwarization, Virtualization, Machine Learning For Intelligent Effective V2X Communications

Depth-Optimized Delay-Aware Tree (DO-DAT) for Virtual Network Function Placement

Systematic Ensemble Model Selection Approach for Educational Data Mining

Introducing Virtual Security Functions into Latency-aware Placement for NFV Applications

Multi-Component V2X Applications Placement in Edge Computing Environment

Edge-enabled V2X Service Placement for Intelligent Transportation Systems

Machine Learning for Performance-Aware Virtual Network Function Placement

Tree-based Intelligent Intrusion Detection System in Internet of Vehicles

Intelligent Active Queue Management Using Explicit Congestion Notification

Direct Data Detection of OFDM Signals Over Wireless Channels

A Novel Algorithm for Real-time Procedural Generation of Building Floor Plans