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SAR-to-optical image translation using multi-stream deep ResCNN of information reconstruction

Expert systems with applications, 2023-08, Vol.224, p.120040, Article 120040

2023

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An Enhanced Multi-Stage Deep Learning Framework for Detecting Malicious Activities From Autonomous Vehicles

IEEE transactions on intelligent transportation systems, 2022-12, Vol.23 (12), p.25469-25478

2022

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Self-supervised Learning IoT Device Features with Graph Contrastive Neural Network for Device Classification in Social Internet of Things

IEEE eTransactions on network and service management, 2023-12, Vol.20 (4), p.1-1

2023

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DFF-SC4N: A Deep Federated Defence Framework for Protecting Supply Chain 4.0 Networks

IEEE transactions on industrial informatics, 2023-03, Vol.19 (3), p.3300-3309

2023

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A Novel Collaborative SRU Network With Dynamic Behaviour Aggregation, Reduced Communication Overhead and Explainable Features

IEEE journal of biomedical and health informatics, 2024-06, Vol.28 (6), p.3228-3235

2024

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Multi-source information fusion based heterogeneous network embedding

Information sciences, 2020-09, Vol.534, p.53-71

2020

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Learning to transfer knowledge from RDF Graphs with gated recurrent units

Intelligent data analysis, 2022-04, Vol.26 (3), p.679-694

2022

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A New Explainable Deep Learning Framework for Cyber Threat Discovery in Industrial IoT Networks

IEEE internet of things journal, 2022-07, Vol.9 (13), p.11604-11613

2022

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Global Sensitivity Analysis for Fuzzy RDF Data

International journal of software engineering and knowledge engineering, 2021-08, Vol.31 (8), p.1119-1144

2021

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Federated-SRUs: A Federated-Simple-Recurrent-Units-Based IDS for Accurate Detection of Cyber Attacks Against IoT-Augmented Industrial Control Systems

IEEE internet of things journal, 2023-05, Vol.10 (10), p.8467-8476

2023

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Generating realistic IoT-based IDS dataset centred on fuzzy qualitative modelling for cyber-physical systems

Electronics letters, 2020-04, Vol.56 (9), p.441-444

2020

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Exploring the Impact of Balanced and Imbalanced Learning in Source Code Suggestion

International journal of software engineering and knowledge engineering, 2022-10, Vol.32 (10), p.1499-1526

2022

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Molecular characterization of lumpy skin disease virus (LSDV) emerged in Bangladesh reveals unique genetic features compared to contemporary field strains

BMC veterinary research, 2021-01, Vol.17 (1), p.61-61, Article 61

2021

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Context-Aware Trust and Reputation Model for Fog-Based IoT

IEEE access, 2020, Vol.8, p.31622-31632

2020

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Biogc: A novel framework for biological network classification via machine learning

Intelligent data analysis, 2021-01, Vol.25 (5), p.1153-1168

2021

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HML-IDS: A Hybrid-Multilevel Anomaly Prediction Approach for Intrusion Detection in SCADA Systems

IEEE access, 2019, Vol.7, p.89507-89521

2019

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The Authority of the Sunnah: Reflections on Modern Critique from a Qur’ānic Perspective

Islamic studies, 2024-03, Vol.63 (1), p.109-133

Khan, Izhar Ahmed

2024

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XSRU-IoMT: Explainable simple recurrent units for threat detection in Internet of Medical Things networks

Future generation computer systems, 2022-02, Vol.127, p.181-193

2022

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Enhancing IIoT networks protection: A robust security model for attack detection in Internet Industrial Control Systems

Ad hoc networks, 2022-09, Vol.134, p.102930, Article 102930

2022

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iRSpot-SPI: Deep learning-based recombination spots prediction by incorporating secondary sequence information coupled with physio-chemical properties via Chou's 5-step rule and pseudo components

Chemometrics and intelligent laboratory systems, 2019-06, Vol.189, p.169-180

2019

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Fed-Inforce-Fusion: A federated reinforcement-based fusion model for security and privacy protection of IoMT networks against cyber-attacks

Information fusion, 2024-01, Vol.101, p.102002, Article 102002

2024

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DFSat: Deep Federated Learning for Identifying Cyber Threats in IoT-based Satellite Networks

IEEE transactions on industrial informatics, 2024, p.1-8

2024

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A privacy-conserving framework based intrusion detection method for detecting and recognizing malicious behaviours in cyber-physical power networks

Applied intelligence (Dordrecht, Netherlands), 2021-10, Vol.51 (10), p.7306-7321

2021

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Exploring the Impact of Vocabulary Techniques on Code Completion: A Comparative Approach

International journal of software engineering and knowledge engineering, 2024-05, Vol.34 (5), p.705-727

2024

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Efficient behaviour specification and bidirectional gated recurrent units-based intrusion detection method for industrial control systems

Electronics letters, 2020-01, Vol.56 (1), p.27-30

2020

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SAR-to-optical image translation using multi-stream deep ResCNN of information reconstruction

An Enhanced Multi-Stage Deep Learning Framework for Detecting Malicious Activities From Autonomous Vehicles

Self-supervised Learning IoT Device Features with Graph Contrastive Neural Network for Device Classification in Social Internet of Things

DFF-SC4N: A Deep Federated Defence Framework for Protecting Supply Chain 4.0 Networks

A Novel Collaborative SRU Network With Dynamic Behaviour Aggregation, Reduced Communication Overhead and Explainable Features

Multi-source information fusion based heterogeneous network embedding

Learning to transfer knowledge from RDF Graphs with gated recurrent units

A New Explainable Deep Learning Framework for Cyber Threat Discovery in Industrial IoT Networks

Global Sensitivity Analysis for Fuzzy RDF Data

Federated-SRUs: A Federated-Simple-Recurrent-Units-Based IDS for Accurate Detection of Cyber Attacks Against IoT-Augmented Industrial Control Systems

Generating realistic IoT-based IDS dataset centred on fuzzy qualitative modelling for cyber-physical systems

Exploring the Impact of Balanced and Imbalanced Learning in Source Code Suggestion

Molecular characterization of lumpy skin disease virus (LSDV) emerged in Bangladesh reveals unique genetic features compared to contemporary field strains

Context-Aware Trust and Reputation Model for Fog-Based IoT

Biogc: A novel framework for biological network classification via machine learning

HML-IDS: A Hybrid-Multilevel Anomaly Prediction Approach for Intrusion Detection in SCADA Systems

The Authority of the Sunnah: Reflections on Modern Critique from a Qur’ānic Perspective

XSRU-IoMT: Explainable simple recurrent units for threat detection in Internet of Medical Things networks

Enhancing IIoT networks protection: A robust security model for attack detection in Internet Industrial Control Systems

iRSpot-SPI: Deep learning-based recombination spots prediction by incorporating secondary sequence information coupled with physio-chemical properties via Chou's 5-step rule and pseudo components

Fed-Inforce-Fusion: A federated reinforcement-based fusion model for security and privacy protection of IoMT networks against cyber-attacks

DFSat: Deep Federated Learning for Identifying Cyber Threats in IoT-based Satellite Networks

A privacy-conserving framework based intrusion detection method for detecting and recognizing malicious behaviours in cyber-physical power networks

Exploring the Impact of Vocabulary Techniques on Code Completion: A Comparative Approach

Efficient behaviour specification and bidirectional gated recurrent units-based intrusion detection method for industrial control systems

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