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Deep Learning and Its Applications for Vehicle Networks

First edition, 2023

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A Software-Defined Networking Roadside Unit Cloud Resource Management Framework for Vehicle Ad Hoc Networks

Journal of advanced transportation, 2022-02, Vol.2022, p.1-13

2022

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Coagulation Chaos: uncovering the incidence and outcomes of early hypocoagulability in traumatic brain injury patients

Neurosurgical review, 2024-08, Vol.47 (1), p.397, Article 397

2024

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2D Young’s Modulus of Black Phosphorene with Different Layers

Journal of physical chemistry. C, 2022-01, Vol.126 (2), p.1094-1098

2022

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Implementation of an IoT-Based Solar-Powered Smart Lawn Mower

Wireless communications and mobile computing, 2022-10, Vol.2022, p.1-12

2022

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Machine Learning Enhanced 5G Vehicle-to-Everything (V2X) Communication Networks with Millimeter-Waves and Terahertz Links

Rasheed, Iftikhar

2020

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Statistical Characteristics of 3D MIMO Channel Model for Vehicle-to-Vehicle Communications

Wireless communications and mobile computing, 2022-06, Vol.2022, p.1-14

2022

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Blockchain-Based Trust Verification and Streaming Service Awareness for Big Data-Driven 5G and Beyond Vehicle-to-Everything (V2X) Communication

Wireless communications and mobile computing, 2022-04, Vol.2022, p.1-13

2022

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State-of-the-art in PHY layer deep learning for future wireless communication systems and networks

Deep Learning and Its Applications for Vehicle Networks, 2023, Vol.1, p.87-114

1, 2023

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A natural language processing-based approach for automating IoT search

Deep Learning and Its Applications for Vehicle Networks, 2023, Vol.1, p.237-258

1, 2023

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Vehicle emission control on road with temporal traffic information using deep reinforcement learning

Deep Learning and Its Applications for Vehicle Networks, 2023, Vol.1, p.167-178

1, 2023

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Deep learning for vehicle safety

Deep Learning and Its Applications for Vehicle Networks, 2023, Vol.1, p.3-16

1, 2023

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Deep reinforcement learning applications in connected-automated transportation systems

Deep Learning and Its Applications for Vehicle Networks, 2023, Vol.1, p.133-164

1, 2023

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Deep learning for autonomous vehicles: A vision-based approach to self-adapted robust control

Deep Learning and Its Applications for Vehicle Networks, 2023, Vol.1, p.215-233

1, 2023

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The basics of deep learning algorithms and their effect on driving behavior and vehicle communications

Deep Learning and Its Applications for Vehicle Networks, 2023, Vol.1, p.295-319

1, 2023

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Integrated simulation of deep learning, computer vision and physical layer of UAV and ground vehicle networks

Deep Learning and Its Applications for Vehicle Networks, 2023, Vol.1, p.321-342

1, 2023

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Deep learning for UAV network optimization

Deep Learning and Its Applications for Vehicle Networks, 2023, Vol.1, p.59-86

1, 2023

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Toward incentive-compatible vehicular crowdsensing: A reinforcement learning-based approach

Deep Learning and Its Applications for Vehicle Networks, 2023, Vol.1, p.259-272

1, 2023

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A deep learning perspective on Connected Automated Vehicle (CAV) cybersecurity and threat intelligence

Deep Learning and Its Applications for Vehicle Networks, 2023, Vol.1, p.39-56

1, 2023

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Load prediction of an electric vehicle charging pile

Deep Learning and Its Applications for Vehicle Networks, 2023, Vol.1, p.179-214

1, 2023

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Sub-signal detection from noisy complex signals using deep learning and mathematical morphology

Deep Learning and Its Applications for Vehicle Networks, 2023, Vol.1, p.273-292

1, 2023

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Deep learning for driver drowsiness classification for a safe vehicle application

Deep Learning and Its Applications for Vehicle Networks, 2023, Vol.1, p.17-37

1, 2023

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Deep learning-based index modulation systems for vehicle communications

Deep Learning and Its Applications for Vehicle Networks, 2023, Vol.1, p.115-132

1, 2023

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About the Editors

Deep Learning and Its Applications for Vehicle Networks, 2023

2023

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Part II: Deep learning for vehicle communications

Deep Learning and Its Applications for Vehicle Networks, 2023

2023

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Deep Learning and Its Applications for Vehicle Networks

A Software-Defined Networking Roadside Unit Cloud Resource Management Framework for Vehicle Ad Hoc Networks

Coagulation Chaos: uncovering the incidence and outcomes of early hypocoagulability in traumatic brain injury patients

2D Young’s Modulus of Black Phosphorene with Different Layers

Implementation of an IoT-Based Solar-Powered Smart Lawn Mower

Machine Learning Enhanced 5G Vehicle-to-Everything (V2X) Communication Networks with Millimeter-Waves and Terahertz Links

Statistical Characteristics of 3D MIMO Channel Model for Vehicle-to-Vehicle Communications

Blockchain-Based Trust Verification and Streaming Service Awareness for Big Data-Driven 5G and Beyond Vehicle-to-Everything (V2X) Communication

State-of-the-art in PHY layer deep learning for future wireless communication systems and networks

A natural language processing-based approach for automating IoT search

Vehicle emission control on road with temporal traffic information using deep reinforcement learning

Deep learning for vehicle safety

Deep reinforcement learning applications in connected-automated transportation systems

Deep learning for autonomous vehicles: A vision-based approach to self-adapted robust control

The basics of deep learning algorithms and their effect on driving behavior and vehicle communications

Integrated simulation of deep learning, computer vision and physical layer of UAV and ground vehicle networks

Deep learning for UAV network optimization

Toward incentive-compatible vehicular crowdsensing: A reinforcement learning-based approach

A deep learning perspective on Connected Automated Vehicle (CAV) cybersecurity and threat intelligence

Load prediction of an electric vehicle charging pile

Sub-signal detection from noisy complex signals using deep learning and mathematical morphology

Deep learning for driver drowsiness classification for a safe vehicle application

Deep learning-based index modulation systems for vehicle communications

About the Editors

Part II: Deep learning for vehicle communications

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