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Federated Learning: A Survey on Enabling Technologies, Protocols, and Applications

IEEE access, 2020, Vol.8, p.140699-140725

2020

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Digital Twin: Enabling Technologies, Challenges and Open Research

IEEE access, 2020, Vol.8, p.108952-108971

2020

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Benchmark Analysis of Representative Deep Neural Network Architectures

IEEE access, 2018, Vol.6, p.64270-64277

2018

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A Survey of Ensemble Learning: Concepts, Algorithms, Applications, and Prospects

IEEE access, 2022, Vol.10, p.99129-99149

2022

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Advances in Adversarial Attacks and Defenses in Computer Vision: A Survey

IEEE access, 2021, Vol.9, p.155161-155196

2021

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A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks

IEEE access, 2017-01, Vol.5, p.21954-21961

2017

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C2PS: A Digital Twin Architecture Reference Model for the Cloud-Based Cyber-Physical Systems

IEEE access, 2017, Vol.5, p.2050-2062

2017

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Federated Learning in Vehicular Edge Computing: A Selective Model Aggregation Approach

IEEE access, 2020, Vol.8, p.23920-23935

2020

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6G Wireless Systems: A Vision, Architectural Elements, and Future Directions

IEEE access, 2020-01, Vol.8, p.1-1

2020

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An Explainable Machine Learning Framework for Intrusion Detection Systems

IEEE access, 2020, Vol.8, p.73127-73141

2020

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Privacy and Security Issues in Deep Learning: A Survey

IEEE access, 2021, Vol.9, p.4566-4593

2021

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Secure and Provenance Enhanced Internet of Health Things Framework: A Blockchain Managed Federated Learning Approach

IEEE access, 2020-01, Vol.8, p.205071-205087

2020

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Reinforcement Learning Based Routing in Networks: Review and Classification of Approaches

IEEE access, 2019, Vol.7, p.55916-55950

Mammeri, Zoubir

2019

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Black-Box vs. White-Box: Understanding Their Advantages and Weaknesses From a Practical Point of View

IEEE access, 2019, Vol.7, p.154096-154113

Loyola-Gonzalez, Octavio

2019

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Adversarial Machine Learning Applied to Intrusion and Malware Scenarios: A Systematic Review

IEEE access, 2020, Vol.8, p.35403-35419

2020

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Bayesian Optimization for Adaptive Experimental Design: A Review

IEEE access, 2020, Vol.8, p.13937-13948

2020

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Challenges and Opportunities of Deep Learning Models for Machinery Fault Detection and Diagnosis: A Review

IEEE access, 2019, Vol.7, p.122644-122662

2019

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Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts

IEEE access, 2020-01, Vol.8, p.130820-130839

2020

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Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead

IEEE access, 2020, Vol.8, p.225134-225180

2020

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Model-Aided Deep Learning Method for Path Loss Prediction in Mobile Communication Systems at 2.6 GHz

IEEE access, 2020, Vol.8, p.7925-7936

2020

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Design and Development of a Deep Learning-Based Model for Anomaly Detection in IoT Networks

IEEE access, 2021, Vol.9, p.103906-103926

2021

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A Lightweight Privacy-Preserving Data Aggregation Scheme for Fog Computing-Enhanced IoT

IEEE access, 2017, Vol.5, p.3302-3312

2017

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Driven by Data or Derived through Physics? A Review of Hybrid Physics Guided Machine Learning Techniques with Cyber-Physical System (CPS) Focus

IEEE access, 2020-01, Vol.8, p.1-1

2020

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Pulmonary Image Classification Based on Inception-v3 Transfer Learning Model

IEEE access, 2019, Vol.7, p.146533-146541

2019

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Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-Rays

IEEE access, 2020-01, Vol.8, p.115041-115050

2020

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Federated Learning: A Survey on Enabling Technologies, Protocols, and Applications

Digital Twin: Enabling Technologies, Challenges and Open Research

Benchmark Analysis of Representative Deep Neural Network Architectures

A Survey of Ensemble Learning: Concepts, Algorithms, Applications, and Prospects

Advances in Adversarial Attacks and Defenses in Computer Vision: A Survey

A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks

C2PS: A Digital Twin Architecture Reference Model for the Cloud-Based Cyber-Physical Systems

Federated Learning in Vehicular Edge Computing: A Selective Model Aggregation Approach

6G Wireless Systems: A Vision, Architectural Elements, and Future Directions

An Explainable Machine Learning Framework for Intrusion Detection Systems

Privacy and Security Issues in Deep Learning: A Survey

Secure and Provenance Enhanced Internet of Health Things Framework: A Blockchain Managed Federated Learning Approach

Reinforcement Learning Based Routing in Networks: Review and Classification of Approaches

Black-Box vs. White-Box: Understanding Their Advantages and Weaknesses From a Practical Point of View

Adversarial Machine Learning Applied to Intrusion and Malware Scenarios: A Systematic Review

Bayesian Optimization for Adaptive Experimental Design: A Review

Challenges and Opportunities of Deep Learning Models for Machinery Fault Detection and Diagnosis: A Review

Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts

Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead

Model-Aided Deep Learning Method for Path Loss Prediction in Mobile Communication Systems at 2.6 GHz

Design and Development of a Deep Learning-Based Model for Anomaly Detection in IoT Networks

A Lightweight Privacy-Preserving Data Aggregation Scheme for Fog Computing-Enhanced IoT

Driven by Data or Derived through Physics? A Review of Hybrid Physics Guided Machine Learning Techniques with Cyber-Physical System (CPS) Focus

Pulmonary Image Classification Based on Inception-v3 Transfer Learning Model

Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-Rays

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