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Multi-Agent Systems: A Survey

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

2018

Volltextzugriff (PDF)

Contrastive Representation Learning: A Framework and Review

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

2020

Volltextzugriff (PDF)

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

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

2018

Volltextzugriff (PDF)

Digital Twin: Enabling Technologies, Challenges and Open Research

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

2020

Volltextzugriff (PDF)

Benchmark Analysis of Representative Deep Neural Network Architectures

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

2018

Volltextzugriff (PDF)

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

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

2021

Volltextzugriff (PDF)

A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks

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

2017

Volltextzugriff (PDF)

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

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

2017

Volltextzugriff (PDF)

Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition

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

2019

Volltextzugriff (PDF)

An Explainable Machine Learning Framework for Intrusion Detection Systems

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

2020

Volltextzugriff (PDF)

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

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

2020

Volltextzugriff (PDF)

Privacy and Security Issues in Deep Learning: A Survey

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

2021

Volltextzugriff (PDF)

Going Deep in Medical Image Analysis: Concepts, Methods, Challenges, and Future Directions

IEEE access, 2019, Vol.7, p.99540-99572

2019

Volltextzugriff (PDF)

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

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

Mammeri, Zoubir

2019

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

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

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

2020

Volltextzugriff (PDF)

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

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

2019

Volltextzugriff (PDF)

Bayesian Optimization for Adaptive Experimental Design: A Review

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

2020

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

Task Offloading and Resource Allocation for Mobile Edge Computing by Deep Reinforcement Learning Based on SARSA

IEEE access, 2020, Vol.8, p.54074-54084

2020

Volltextzugriff (PDF)

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

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

2021

Volltextzugriff (PDF)

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

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

2017

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

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Multi-Agent Systems: A Survey

Contrastive Representation Learning: A Framework and Review

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

Digital Twin: Enabling Technologies, Challenges and Open Research

Benchmark Analysis of Representative Deep Neural Network Architectures

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

Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition

An Explainable Machine Learning Framework for Intrusion Detection Systems

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

Privacy and Security Issues in Deep Learning: A Survey

Going Deep in Medical Image Analysis: Concepts, Methods, Challenges, and Future Directions

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

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

Bayesian Optimization for Adaptive Experimental Design: A Review

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

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

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

Task Offloading and Resource Allocation for Mobile Edge Computing by Deep Reinforcement Learning Based on SARSA

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

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