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Parallel Control and Management for Intelligent Transportation Systems: Concepts, Architectures, and Applications

IEEE transactions on intelligent transportation systems, 2010-09, Vol.11 (3), p.630-638

WANG, Fei-Yue

2010

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The DAO to MetaControl for MetaSystems in Metaverses: The System of Parallel Control Systems for Knowledge Automation and Control Intelligence in CPSS

IEEE/CAA journal of automatica sinica, 2022-11, Vol.9 (11), p.1899-1908

Wang, Fei-Yue

2022

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Traffic Flow Prediction With Big Data: A Deep Learning Approach

IEEE transactions on intelligent transportation systems, 2015-04, Vol.16 (2), p.865-873

2015

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The Emergence of Intelligent Enterprises: From CPS to CPSS

IEEE intelligent systems, 2010-07, Vol.25 (4), p.85-88

WANG, Fei-Yue

2010

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New Control Paradigm for Industry 5.0: From Big Models to Foundation Control and Management

IEEE/CAA journal of automatica sinica, 2023-08, Vol.10 (8), p.1643-1646

Wang, Fei-Yue

2023

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Driver Activity Recognition for Intelligent Vehicles: A Deep Learning Approach

IEEE transactions on vehicular technology, 2019-06, Vol.68 (6), p.5379-5390

2019

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A Survey of Traffic Data Visualization

IEEE transactions on intelligent transportation systems, 2015-12, Vol.16 (6), p.2970-2984

2015

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Traffic Flow Imputation Using Parallel Data and Generative Adversarial Networks

IEEE transactions on intelligent transportation systems, 2020-04, Vol.21 (4), p.1624-1630

2020

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Cooperative Driving at Blind Crossings Using Intervehicle Communication

IEEE transactions on vehicular technology, 2006-11, Vol.55 (6), p.1712-1724

2006

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Driver Lane Change Intention Inference for Intelligent Vehicles: Framework, Survey, and Challenges

IEEE transactions on vehicular technology, 2019-05, Vol.68 (5), p.4377-4390

2019

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Blockchain and Cryptocurrencies: Model, Techniques, and Applications

IEEE transactions on systems, man, and cybernetics. Systems, 2018-09, Vol.48 (9), p.1421-1428

2018

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Parallel Population and Parallel Human: A Cyber-Physical Social Approach

1, 2023

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Traffic Signal Timing via Deep Reinforcement Learning

IEEE/CAA journal of automatica sinica, 2016-07, Vol.3 (3), p.247-254

2016

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Deep Neural Network Based Vehicle and Pedestrian Detection for Autonomous Driving: A Survey

IEEE transactions on intelligent transportation systems, 2021-06, Vol.22 (6), p.3234-3246

2021

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Capturing Car-Following Behaviors by Deep Learning

IEEE transactions on intelligent transportation systems, 2018-03, Vol.19 (3), p.910-920

2018

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A novel background subtraction algorithm based on parallel vision and Bayesian GANs

Neurocomputing (Amsterdam), 2020-06, Vol.394, p.178-200

2020

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What Does ChatGPT Say: The DAO from Algorithmic Intelligence to Linguistic Intelligence

IEEE/CAA journal of automatica sinica, 2023-03, Vol.10 (3), p.575-579

2023

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Blockchain-Enabled Smart Contracts: Architecture, Applications, and Future Trends

IEEE transactions on systems, man, and cybernetics. Systems, 2019-11, Vol.49 (11), p.2266-2277

2019

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Analysis of Cooperative Driving Strategies for Nonsignalized Intersections

IEEE transactions on vehicular technology, 2018-04, Vol.67 (4), p.2900-2911

2018

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Adaptive Consensus Control for a Class of Nonlinear Multiagent Time-Delay Systems Using Neural Networks

IEEE transaction on neural networks and learning systems, 2014-06, Vol.25 (6), p.1217-1226

2014

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Generative Adversarial Networks:Introduction and Outlook

IEEE/CAA journal of automatica sinica, 2017-01, Vol.4 (4), p.588-598

2017

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Parallel Services: Intelligent Systems of Digital Twins and Metaverses for Services Science

1, 2023

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Levenberg-Marquardt Backpropagation Training of Multilayer Neural Networks for State Estimation of a Safety-Critical Cyber-Physical System

IEEE transactions on industrial informatics, 2018-08, Vol.14 (8), p.3436-3446

2018

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Data-Driven Intelligent Transportation Systems: A Survey

IEEE transactions on intelligent transportation systems, 2011-12, Vol.12 (4), p.1624-1639

2011

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Accelerating Minibatch Stochastic Gradient Descent Using Typicality Sampling

IEEE transaction on neural networks and learning systems, 2020-11, Vol.31 (11), p.4649-4659

2020

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Parallel Control and Management for Intelligent Transportation Systems: Concepts, Architectures, and Applications

The DAO to MetaControl for MetaSystems in Metaverses: The System of Parallel Control Systems for Knowledge Automation and Control Intelligence in CPSS

Traffic Flow Prediction With Big Data: A Deep Learning Approach

The Emergence of Intelligent Enterprises: From CPS to CPSS

New Control Paradigm for Industry 5.0: From Big Models to Foundation Control and Management

Driver Activity Recognition for Intelligent Vehicles: A Deep Learning Approach

A Survey of Traffic Data Visualization

Traffic Flow Imputation Using Parallel Data and Generative Adversarial Networks

Cooperative Driving at Blind Crossings Using Intervehicle Communication

Driver Lane Change Intention Inference for Intelligent Vehicles: Framework, Survey, and Challenges

Blockchain and Cryptocurrencies: Model, Techniques, and Applications

Parallel Population and Parallel Human: A Cyber-Physical Social Approach

Traffic Signal Timing via Deep Reinforcement Learning

Deep Neural Network Based Vehicle and Pedestrian Detection for Autonomous Driving: A Survey

Capturing Car-Following Behaviors by Deep Learning

A novel background subtraction algorithm based on parallel vision and Bayesian GANs

What Does ChatGPT Say: The DAO from Algorithmic Intelligence to Linguistic Intelligence

Blockchain-Enabled Smart Contracts: Architecture, Applications, and Future Trends

Analysis of Cooperative Driving Strategies for Nonsignalized Intersections

Adaptive Consensus Control for a Class of Nonlinear Multiagent Time-Delay Systems Using Neural Networks

Generative Adversarial Networks:Introduction and Outlook

Parallel Services: Intelligent Systems of Digital Twins and Metaverses for Services Science

Levenberg-Marquardt Backpropagation Training of Multilayer Neural Networks for State Estimation of a Safety-Critical Cyber-Physical System

Data-Driven Intelligent Transportation Systems: A Survey

Accelerating Minibatch Stochastic Gradient Descent Using Typicality Sampling

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