☆ 4.7 Article

Speech Emotion Recognition Enhanced Traffic Efficiency Solution for Autonomous Vehicles in a 5G-Enabled Space-Air-Ground Integrated Intelligent Transportation System

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)

Related references

Note: Only part of the references are listed.

Article Computer Science, Information Systems

Blockchain-Based Cross-Domain Authentication for Intelligent 5G-Enabled Internet of Drones

Chaosheng Feng et al.

Summary: This article proposes a blockchain-based cross-domain authentication scheme for intelligent 5G-enabled Internet of drones. By utilizing multiple signatures and smart contracts to establish an identity federation for collaborative domains, the scheme supports domain joining and exiting, and ensures reliable communication between cross-domain devices.

IEEE INTERNET OF THINGS JOURNAL (2022)

Add to Collection

Article Engineering, Multidisciplinary

Deep Learning-Embedded Social Internet of Things for Ambiguity-Aware Social Recommendations

Zhiwei Guo et al.

Summary: With the increasing demand for personalized social services, researchers propose a deep learning-embedded social Internet of Things (IoT) solution to address the data management and preference ambiguity issues in social recommendation. Experimental results show that the proposed solution outperforms benchmark methods and exhibits good robustness.

IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING (2022)

Add to Collection

Article Computer Science, Hardware & Architecture

A QoE Test System for Vehicular Voice Cloud Services

Kailiang Zhang et al.

Summary: The study focuses on designing a lightweight vehicular voice cloud evaluation system that can help evaluate the quality of vehicular voice cloud services for user experience and graphically display it on a map interface. The system avoids complex communication and language processing, providing strong objective evaluation support for automobile manufacturers and communication equipment manufacturers.

MOBILE NETWORKS & APPLICATIONS (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

Fuzzy Detection System for Rumors Through Explainable Adaptive Learning

Zhiwei Guo et al.

Summary: This article proposes a system for fuzzy rumor detection through explainable adaptive learning, using a graph embedding-based generative adversarial network (Graph-GAN) model. The two-stage scheme not only solves the fuzzy rumor detection under unsupervised scenarios, but also improves robustness of the unsupervised training. Empirically, the results of the Graph-GAN show a proper performance, exceeding baselines by 5-10% on average when compared with seven benchmark methods in terms of four metrics.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2021)

Add to Collection

Article Automation & Control Systems

Nonlinear MIMO for Industrial Internet of Things in Cyber-Physical Systems

Yi Gong et al.

Summary: Massive MIMO technology provides stable and reliable connectivity for the industrial Internet of Things, but traditional designs suffer from high power consumption and fabrication costs. This study's nonlinear MIMO system designs improve power efficiency and achieve the same uplink rate as traditional MIMO by increasing the number of receiving antennas, reducing overall power consumption. Using skew-normal distribution as signaling, nonlinear MIMO systems outperform Gaussian distribution in performance.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)

Add to Collection

Article Engineering, Civil

Deep Learning-Based Traffic Safety Solution for a Mixture of Autonomous and Manual Vehicles in a 5G-Enabled Intelligent Transportation System

Keping Yu et al.

Summary: As the intelligent transportation system (ITS) continues to advance, issues related to predicting driving directions and ensuring safety of autonomous vehicles in mixed traffic environments become crucial. Researchers have proposed a deep learning-based traffic safety solution to improve intention recognition rates and real-time performance of autonomous vehicles.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2021)

Add to Collection

Article Engineering, Civil

Multi-Aspect Aware Session-Based Recommendation for Intelligent Transportation Services

Yin Zhang et al.

Summary: This paper introduces a Multi-aspect Aware Session-based Recommendation (MASR) model for intelligent transportation services that comprehensively considers the user's personalized behavior and uses a transformer-style self-attention mechanism for analyzing session sequence information to accurately grasp user intentions. Experimental results show that MASR can improve user satisfaction with more accurate and rapid recommendations while reducing the number of user operations and decreasing safety risks in transportation services.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2021)

Add to Collection

Article Computer Science, Hardware & Architecture

DEEP-LEARNING-EMPOWERED BREAST CANCER AUXILIARY DIAGNOSIS FOR 5GB REMOTE E-HEALTH

Keping Yu et al.

Summary: Breast cancer, the most common cancer in women, lacks high-quality medical resources in remote areas. While remote e-health has improved the situation to some extent, technical limitations, such as network bandwidth constraints and the availability of skilled doctors, hinder its capabilities. The proposed deep learning-based breast cancer auxiliary diagnosis scheme supported by 5G technology aims to overcome these limitations and improve diagnostic accuracy in remote areas.

IEEE WIRELESS COMMUNICATIONS (2021)

Add to Collection

Article Engineering, Electrical & Electronic

Early Collision Detection for Massive Random Access in Satellite-Based Internet of Things

Li Zhen et al.

Summary: Satellite communications will be crucial for future global Internet of Things (IoT), and an efficient collision detection scheme is proposed for satellite-based IoT to improve access efficiency and resource utilization. The scheme utilizes a single root Zadoff-Chu (ZC) sequence with cyclic shift offsets for rapid collision detection and load estimation. Mathematically analyzed performance metrics and optimal preamble selection probabilities are provided for maximizing load monitoring accuracy in satellite LOS scenarios. Simulation results demonstrate significant performance improvement compared to existing collision detection schemes.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2021)

Add to Collection

Article Engineering, Electrical & Electronic

SFC-Based Service Provisioning for Reconfigurable Space-Air-Ground Integrated Networks

Guangchao Wang et al.

IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS (2020)

Add to Collection

Article Engineering, Civil

Deep Learning for Intelligent Transportation Systems: A Survey of Emerging Trends

Matthew Veres et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2020)

Add to Collection

Article Engineering, Civil

Parallel Transportation Systems: Toward IoT-Enabled Smart Urban Traffic Control and Management

Fenghua Zhu et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2020)

Add to Collection

Article Computer Science, Hardware & Architecture

RESOURCE MANAGEMENT IN SPACE-AIR-GROUND INTEGRATED VEHICULAR NETWORKS: SDN CONTROL AND AI ALGORITHM DESIGN

Huaqing Wu et al.

IEEE WIRELESS COMMUNICATIONS (2020)

Add to Collection

Article Engineering, Electrical & Electronic

Attribute-Based Encryption With Parallel Outsourced Decryption for Edge Intelligent IoV

Chaosheng Feng et al.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2020)

Add to Collection

Article Computer Science, Information Systems

Energy and Information Management of Electric Vehicular Network: A Survey

Nan Chen et al.

IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2020)

Add to Collection

Article Engineering, Electrical & Electronic

DEEP LEARNING FOR RELIABLE MOBILE EDGE ANALYTICS IN INTELLIGENT TRANSPORTATION SYSTEMS An Overview

Aidin Ferdowsi et al.

IEEE VEHICULAR TECHNOLOGY MAGAZINE (2019)

Add to Collection

Article Computer Science, Hardware & Architecture

BIDIRECTIONAL MISSION OFFLOADING FOR AGILE SPACE-AIR-GROUND INTEGRATED NETWORKS

Sheng Zhou et al.

IEEE WIRELESS COMMUNICATIONS (2019)

Add to Collection

Article Computer Science, Hardware & Architecture

OPTIMIZING SPACE-AIR-GROUND INTEGRATED NETWORKS BY ARTIFICIAL INTELLIGENCE

Nei Kato et al.

IEEE WIRELESS COMMUNICATIONS (2019)

Add to Collection

Article Engineering, Electrical & Electronic

Heterogeneous Information Network-Based Content Caching in the Internet of Vehicles

Yin Zhang et al.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2019)

Add to Collection

Proceedings Paper Computer Science, Hardware & Architecture

Intelligent Coordinated Task Scheduling in Space-Air-Ground Integrated Network

Cui-Qin Dai et al.

2019 11TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP) (2019)

Add to Collection

Article Computer Science, Information Systems

Space-Air-Ground Integrated Network: A Survey

Jiajia Liu et al.

IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2018)

Add to Collection

Review Chemistry, Multidisciplinary

Issues, Challenges, and Research Opportunities in Intelligent Transport System for Security and Privacy

Qazi Ejaz Ali et al.

APPLIED SCIENCES-BASEL (2018)

Add to Collection

Article Engineering, Electrical & Electronic

Software Defined Space-Air-Ground Integrated Vehicular Networks: Challenges and Solutions

Ning Zhang et al.

IEEE COMMUNICATIONS MAGAZINE (2017)

Add to Collection

Article Transportation Science & Technology

The Impact of Microphone Location and Beamforming on In-Vehicle Speech Recognition

Scott Amman et al.

SAE INTERNATIONAL JOURNAL OF PASSENGER CARS-ELECTRONIC AND ELECTRICAL SYSTEMS (2017)

Add to Collection

© Peeref 2019-2024. All rights reserved.