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A Survey of Clustering Algorithms for Big Data: Taxonomy and Empirical Analysis

IEEE transactions on emerging topics in computing, 2014-09, Vol.2 (3), p.267-279

2014

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An Efficient Data-Driven Clustering Technique to Detect Attacks in SCADA Systems

IEEE transactions on information forensics and security, 2016-05, Vol.11 (5), p.893-906

2016

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An Efficient Network Classification Based on Various-Widths Clustering and Semi-Supervised Stacking

IEEE access, 2021, Vol.9, p.151681-151696

2021

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A Hybrid Cryptographic Mechanism for Secure Data Transmission in Edge AI Networks

International journal of computational intelligence systems, 2024-02, Vol.17 (1), p.1-15, Article 24

2024

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SCADA Security: Machine Learning Concepts for Intrusion Detection and Prevention

Abdulmohsen Almalawi, Zahir Tari, Adil Fahad, Xun Yi

1st edition, 2020

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SCADA Security - Machine Learning Concepts for Intrusion Detection and Prevention - SCADA-Based IDs Security

2021

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Developing an Intelligent System with Deep Learning Algorithms for Sentiment Analysis of E-Commerce Product Reviews

Computational intelligence and neuroscience, 2022-05, Vol.2022, p.3840071-10

2022

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Toward an Efficient Automatic Self-Augmentation Labeling Tool for Intrusion Detection Based on a Semi-Supervised Approach

Applied sciences, 2022-07, Vol.12 (14), p.7189

2022

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Towards an Unsupervised Feature Selection Method for Effective Dynamic Features

IEEE access, 2021, Vol.9, p.77149-77163

2021

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DP-IOT AD: DIFFERENTIALLY PRIVATE IOT ANOMALY DETECTION WITH UTILITY-PRIVACY TRADE-OFF OPTIMIZATION

International journal of communication networks and information security, 2024-09, Vol.16 (3), p.360-372

Fahad, Adil

2024

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A Mathematical and Hybrid Deep Learning Model for Real-Time Intrusion Detection in IoT-Based Electric Vehicle Charging Stations

Communications on Applied Nonlinear Analysis, 2024-09, Vol.31 (8s), p.282-307

Adil Fahad

2024

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Toward an efficient and scalable feature selection approach for internet traffic classification

Computer networks (Amsterdam, Netherlands : 1999), 2013-06, Vol.57 (9), p.2040-2057

2013

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A Taxonomy of Supervised Learning for IDSs in SCADA Environments

ACM computing surveys, 2020-04, Vol.53 (2), p.1-37, Article 40

2020

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An unsupervised anomaly-based detection approach for integrity attacks on SCADA systems

Computers & security, 2014-10, Vol.46, p.94-110

2014

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Arithmetic optimization algorithm with deep learning enabled airborne particle-bound metals size prediction model

Chemosphere (Oxford), 2022-09, Vol.303, p.134960-134960, Article 134960

2022

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SemTra: A semi-supervised approach to traffic flow labeling with minimal human effort

Pattern recognition, 2019-07, Vol.91, p.1-12

2019

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An IoT based system for magnify air pollution monitoring and prognosis using hybrid artificial intelligence technique

Environmental research, 2022-04, Vol.206, p.112576-112576, Article 112576

2022

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The Impact of Hba1c Levels on Diabetic Patients' Sugar Control and Its Influence on Eye Health: Clinical Study

South Eastern European journal of public health, 2024-09, p.437-443

Fahad, Ammar Adil

2024

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An optimal and stable feature selection approach for traffic classification based on multi-criterion fusion

Future generation computer systems, 2014-07, Vol.36, p.156-169

2014

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The ideal lens for cataract patients in Thi-Qar Province

World Journal of Current Medical and Pharmaceutical Research, 2023-07, p.109-113

Fahad, Ammar Adil

2023

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Enhancing security in smart healthcare systems: Using intelligent edge computing with a novel Salp Swarm Optimization and radial basis neural network algorithm

Heliyon, 2024-07, Vol.10 (13), p.e33792, Article e33792

2024

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PPFSCADA: Privacy preserving framework for SCADA data publishing

Future generation computer systems, 2014-07, Vol.37, p.496-511

2014

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The mediator authorization-security model for heterogeneous semantic knowledge bases

Future generation computer systems, 2016-02, Vol.55, p.227-237

2016

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Automated Brain Hemorrhage Classification and Volume Analysis

Computers, materials & continua, 2023, Vol.75 (1), p.2283-2299

2023

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k$ <inline-graphic xlink:type="simple" xlink:href="alharthi-ieq1-2460735.gif"/>NNVWC: An Efficient $k$<inline-graphic xlink:type="simple" xlink:href="alharthi-ieq2-2460735.gif"/> -Nearest Neighbors Approach Based on Various-Widths Clustering

IEEE transactions on knowledge and data engineering, 2016-01, Vol.28 (1), p.68-81

2016

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A Survey of Clustering Algorithms for Big Data: Taxonomy and Empirical Analysis

An Efficient Data-Driven Clustering Technique to Detect Attacks in SCADA Systems

An Efficient Network Classification Based on Various-Widths Clustering and Semi-Supervised Stacking

A Hybrid Cryptographic Mechanism for Secure Data Transmission in Edge AI Networks

SCADA Security: Machine Learning Concepts for Intrusion Detection and Prevention

SCADA Security - Machine Learning Concepts for Intrusion Detection and Prevention - SCADA-Based IDs Security

Developing an Intelligent System with Deep Learning Algorithms for Sentiment Analysis of E-Commerce Product Reviews

Toward an Efficient Automatic Self-Augmentation Labeling Tool for Intrusion Detection Based on a Semi-Supervised Approach

Towards an Unsupervised Feature Selection Method for Effective Dynamic Features

DP-IOT AD: DIFFERENTIALLY PRIVATE IOT ANOMALY DETECTION WITH UTILITY-PRIVACY TRADE-OFF OPTIMIZATION

A Mathematical and Hybrid Deep Learning Model for Real-Time Intrusion Detection in IoT-Based Electric Vehicle Charging Stations

Toward an efficient and scalable feature selection approach for internet traffic classification

A Taxonomy of Supervised Learning for IDSs in SCADA Environments

An unsupervised anomaly-based detection approach for integrity attacks on SCADA systems

Arithmetic optimization algorithm with deep learning enabled airborne particle-bound metals size prediction model

SemTra: A semi-supervised approach to traffic flow labeling with minimal human effort

An IoT based system for magnify air pollution monitoring and prognosis using hybrid artificial intelligence technique

The Impact of Hba1c Levels on Diabetic Patients' Sugar Control and Its Influence on Eye Health: Clinical Study

An optimal and stable feature selection approach for traffic classification based on multi-criterion fusion

The ideal lens for cataract patients in Thi-Qar Province

Enhancing security in smart healthcare systems: Using intelligent edge computing with a novel Salp Swarm Optimization and radial basis neural network algorithm

PPFSCADA: Privacy preserving framework for SCADA data publishing

The mediator authorization-security model for heterogeneous semantic knowledge bases

Automated Brain Hemorrhage Classification and Volume Analysis

k$ <inline-graphic xlink:type="simple" xlink:href="alharthi-ieq1-2460735.gif"/>NNVWC: An Efficient $k$<inline-graphic xlink:type="simple" xlink:href="alharthi-ieq2-2460735.gif"/> -Nearest Neighbors Approach Based on Various-Widths Clustering

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