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Optimizing chest tuberculosis image classification with oversampling and transfer learning

IET image processing, 2024-04, Vol.18 (5), p.1109-1118

2024

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Attack-Aware IoT Network Traffic Routing Leveraging Ensemble Learning

Sensors (Basel, Switzerland), 2021-12, Vol.22 (1), p.241

2021

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Machine-Learning-Based Darknet Traffic Detection System for IoT Applications

Electronics (Basel), 2022-02, Vol.11 (4), p.556

2022

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ELBA-IoT: An Ensemble Learning Model for Botnet Attack Detection in IoT Networks

Journal of sensor and actuator networks, 2022-03, Vol.11 (1), p.18

2022

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Analysis of Blockchain in the Healthcare Sector: Application and Issues

Symmetry (Basel), 2022-09, Vol.14 (9), p.1760

2022

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High Performance Classification Model to Identify Ransomware Payments for Heterogeneous Bitcoin Networks

Electronics (Basel), 2021-09, Vol.10 (17), p.2113

2021

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Boost‐Defence for resilient IoT networks: A head‐to‐toe approach

Expert systems, 2022-12, Vol.39 (10), p.n/a

2022

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IoT Intrusion Detection Using Machine Learning with a Novel High Performing Feature Selection Method

Applied sciences, 2022-05, Vol.12 (10), p.5015

2022

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Detection in Adverse Weather Conditions for Autonomous Vehicles via Deep Learning

AI (Basel), 2022-04, Vol.3 (2), p.303-317

2022

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A Comprehensive Survey on Cyber-Physical Smart Grid Testbed Architectures: Requirements and Challenges

Electronics (Basel), 2021-05, Vol.10 (9), p.1043

2021

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Meticulously Intelligent Identification System for Smart Grid Network Stability to Optimize Risk Management

Energies (Basel), 2021-11, Vol.14 (21), p.6935

2021

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Predicting global energy demand for the next decade: A time-series model using nonlinear autoregressive neural networks

Energy exploration & exploitation, 2023-11, Vol.41 (6), p.1884-1898

2023

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Dynamic Initial Weight Assignment for MaxSAT

Algorithms, 2021, Vol.14 (4), p.115

2021

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An Efficient Deep-Learning-Based Detection and Classification System for Cyber-Attacks in IoT Communication Networks

Electronics (Basel), 2020-12, Vol.9 (12), p.2152

2020

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DDoS Attack Prevention for Internet of Thing Devices Using Ethereum Blockchain Technology

Sensors (Basel, Switzerland), 2022-09, Vol.22 (18), p.6806

2022

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A Lightweight Double-Stage Scheme to Identify Malicious DNS over HTTPS Traffic Using a Hybrid Learning Approach

Sensors (Basel, Switzerland), 2023-03, Vol.23 (7), p.3489

2023

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PDF Malware Detection Based on Optimizable Decision Trees

Electronics (Basel), 2022-10, Vol.11 (19), p.3142

2022

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Top-Down Machine Learning-Based Architecture for Cyberattacks Identification and Classification in IoT Communication Networks

Frontiers in big data, 2022-01, Vol.4, p.782902-782902

Abu Al-Haija, Qasem

2022

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Design alternatives of Euclidian greatest common divisor with enhanced architecture

International journal of computer aided engineering and technology, 2020, Vol.13 (4), p.425

2020

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Cost-effective detection system of cross-site scripting attacks using hybrid learning approach

Results in engineering, 2023-09, Vol.19, p.101266, Article 101266

Abu Al-Haija, Qasem

2023

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Implementing a lightweight Schmidt-Samoa cryptosystem (SSC) for sensory communications

International journal on smart sensing and intelligent systems, 2019-01, Vol.12 (1), p.1-9

2019

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Machine Learning Based Model to Identify Firewall Decisions to Improve Cyber-Defense

International journal on advanced science, engineering and information technology, 2021-08, Vol.11 (4), p.1688

2021

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Editorial: Artificial intelligence solutions for decision making in robotics

Frontiers in robotics and AI, 2024, Vol.11, p.1389191-1389191

Abu Al-Haija, Qasem

2024

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Medical image encryption techniques: a technical survey and potential challenges

International journal of electrical and computer engineering (Malacca, Malacca), 2023-06, Vol.13 (3), p.3170

2023

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A Siamese network optimization using genetic algorithm for brain diseases

IET image processing, 2024-06

2024

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Optimizing chest tuberculosis image classification with oversampling and transfer learning

Attack-Aware IoT Network Traffic Routing Leveraging Ensemble Learning

Machine-Learning-Based Darknet Traffic Detection System for IoT Applications

ELBA-IoT: An Ensemble Learning Model for Botnet Attack Detection in IoT Networks

Analysis of Blockchain in the Healthcare Sector: Application and Issues

High Performance Classification Model to Identify Ransomware Payments for Heterogeneous Bitcoin Networks

Boost‐Defence for resilient IoT networks: A head‐to‐toe approach

IoT Intrusion Detection Using Machine Learning with a Novel High Performing Feature Selection Method

Detection in Adverse Weather Conditions for Autonomous Vehicles via Deep Learning

A Comprehensive Survey on Cyber-Physical Smart Grid Testbed Architectures: Requirements and Challenges

Meticulously Intelligent Identification System for Smart Grid Network Stability to Optimize Risk Management

Predicting global energy demand for the next decade: A time-series model using nonlinear autoregressive neural networks

Dynamic Initial Weight Assignment for MaxSAT

An Efficient Deep-Learning-Based Detection and Classification System for Cyber-Attacks in IoT Communication Networks

DDoS Attack Prevention for Internet of Thing Devices Using Ethereum Blockchain Technology

A Lightweight Double-Stage Scheme to Identify Malicious DNS over HTTPS Traffic Using a Hybrid Learning Approach

PDF Malware Detection Based on Optimizable Decision Trees

Top-Down Machine Learning-Based Architecture for Cyberattacks Identification and Classification in IoT Communication Networks

Design alternatives of Euclidian greatest common divisor with enhanced architecture

Cost-effective detection system of cross-site scripting attacks using hybrid learning approach

Implementing a lightweight Schmidt-Samoa cryptosystem (SSC) for sensory communications

Machine Learning Based Model to Identify Firewall Decisions to Improve Cyber-Defense

Editorial: Artificial intelligence solutions for decision making in robotics

Medical image encryption techniques: a technical survey and potential challenges

A Siamese network optimization using genetic algorithm for brain diseases

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