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Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey

IEEE access, 2018-01, Vol.6, p.14410-14430

2018

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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 Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks

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

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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Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition

IEEE access, 2019, Vol.7, p.158820-158846

2019

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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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A Survey of Deep Learning Techniques: Application in Wind and Solar Energy Resources

IEEE access, 2019, Vol.7, p.164650-164666

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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Human Activity Recognition Using Inertial, Physiological and Environmental Sensors: A Comprehensive Survey

IEEE access, 2020, Vol.8, p.210816-210836

2020

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Multi-Agent Systems: A Survey

IEEE access, 2018-01, Vol.6, p.28573-28593

2018

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Contrastive Representation Learning: A Framework and Review

IEEE access, 2020, Vol.8, p.193907-193934

2020

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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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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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Federated Learning-Based Computation Offloading Optimization in Edge Computing-Supported Internet of Things

IEEE access, 2019, Vol.7, p.69194-69201

2019

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Using Machine Learning to Detect Fake Identities: Bots vs Humans

IEEE access, 2018-01, Vol.6, p.6540-6549

2018

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Deep Learning for Edge Computing Applications: A State-of-the-Art Survey

IEEE access, 2020, Vol.8, p.58322-58336

2020

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A Deep Transfer Convolutional Neural Network Framework for EEG Signal Classification

IEEE access, 2019, Vol.7, p.112767-112776

2019

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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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Energy-Saving Offloading by Jointly Allocating Radio and Computational Resources for Mobile Edge Computing

IEEE access, 2017, Vol.5, p.11255-11268

2017

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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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Fault and Error Tolerance in Neural Networks: A Review

IEEE access, 2017-01, Vol.5, p.17322-17341

2017

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A Reliable and Lightweight Trust Computing Mechanism for IoT Edge Devices Based on Multi-Source Feedback Information Fusion

IEEE access, 2018-01, Vol.6, p.23626-23638

2018

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

IEEE access, 2020, Vol.8, p.147029-147044

2020

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Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey

Benchmark Analysis of Representative Deep Neural Network Architectures

A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks

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

Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition

Bayesian Optimization for Adaptive Experimental Design: A Review

A Survey of Deep Learning Techniques: Application in Wind and Solar Energy Resources

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

Human Activity Recognition Using Inertial, Physiological and Environmental Sensors: A Comprehensive Survey

Multi-Agent Systems: A Survey

Contrastive Representation Learning: A Framework and Review

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

Digital Twin: Enabling Technologies, Challenges and Open Research

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

Federated Learning-Based Computation Offloading Optimization in Edge Computing-Supported Internet of Things

Using Machine Learning to Detect Fake Identities: Bots vs Humans

Deep Learning for Edge Computing Applications: A State-of-the-Art Survey

A Deep Transfer Convolutional Neural Network Framework for EEG Signal Classification

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

Energy-Saving Offloading by Jointly Allocating Radio and Computational Resources for Mobile Edge Computing

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

Fault and Error Tolerance in Neural Networks: A Review

A Reliable and Lightweight Trust Computing Mechanism for IoT Edge Devices Based on Multi-Source Feedback Information Fusion

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

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

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