FedRSC: A Federated Learning Analysis for Multi-Label Road Surface Classifications

Deep Residual Learning for Image Recognition

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Densely Connected Convolutional Networks

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Federated Optimization in Heterogeneous Networks

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A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection

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Multi-Label Image Recognition With Graph Convolutional Networks

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Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification

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The Emerging Trends of Multi-Label Learning

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Two-Layer Federated Learning With Heterogeneous Model Aggregation for 6G Supported Internet of Vehicles

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A Survey on Odometry for Autonomous Navigation Systems

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Comprehensive comparative study of multi-label classification methods

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A Machine Learning Approach to Road Surface Anomaly Assessment Using Smartphone Sensors

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Quantifying safety benefit of winter road maintenance: Accident frequency modeling

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Unlocking the Future: Fostering Human–Machine Collaboration and Driving Intelligent Automation through Industry 5.0 in Smart Cities

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High-Definition Maps: Comprehensive Survey, Challenges, and Future Perspectives

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Efficient Federated Learning With Spike Neural Networks for Traffic Sign Recognition

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Abnormal Road Surface Recognition Based on Smartphone Acceleration Sensor

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Assessment of Deep Convolutional Neural Networks for Road Surface Classification

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A Comprehensive Implementation of Road Surface Classification for Vehicle Driving Assistance: Dataset, Models, and Deployment

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Identification of Risk Factors Influencing Road Traffic Accidents

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Impact of road grade on real driving emissions from two Euro 5 diesel vehicles

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Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning

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Road Surface Classification with Images Captured From Low-cost Camera - Road Traversing Knowledge (RTK) Dataset

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Road surface type classification based on inertial sensors and machine learning

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A Review of Road Surface Anomaly Detection and Classification Systems Based on Vibration-Based Techniques

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Federated Learning for Object Detection in Autonomous Vehicles

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Inexpensive Multimodal Sensor Fusion System for Autonomous Data Acquisition of Road Surface Conditions

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Road-Surface Influence on Tire Rolling Resistance

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Federated Machine Learning in Vehicular Networks: A summary of Recent Applications

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Toward Optimal MEC-Based Collision Avoidance System for Cooperative Inland Vessels: A Federated Deep Learning Approach

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Detection of Road Condition Defects Using Multiple Sensors and IoT Technology: A Review

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FedRD: Privacy-preserving adaptive Federated learning framework for intelligent hazardous Road Damage detection and warning

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The influence of road surface condition on traffic safety and ride comfort

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Analyzing Risk Factors for Fatality in Urban Traffic Crashes: A Case Study of Wuhan, China

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Personalized driving assistance algorithms: Case study of federated learning based forward collision warning

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Road Surface Monitoring System Using Semi-Supervised Machine Learning Ensemble Models

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An adaptive federated learning framework for intelligent road surface classification

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Evaluation of CNN-Based Approaches to Adverse Weather Image Classification for Autonomous Driving Systems

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Safeguarding Federated Learning-Based Road Condition Classification

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Generalizable Driver Identification Through Road Curvature Analysis in Internet of Vehicles

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Privacy-preserving Machine Learning in Internet of Vehicle Applications: Fundamentals, Recent Advances, and Future Direction

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DEFEND: Poisoned Model Detection and Malicious Client Exclusion Mechanism for Secure Federated Learning-based Road Condition Classification

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An Enhanced Traffic Sign Recognition Approach Based on Federated Learning

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Weighted Correlation Attention Network-Based Dual-Phase Federated Learning Framework for Image Recognition

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Federated Dual-Phase Attention Network with Weighted Label Correlation Embedding for Multi-Label Image Classification

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Federated Chain Context Optimization for Long-Tailed Multi-Label Image Classification

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Consistency-guided model-contrastive federated learning for scalable road damage detection

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An adaptive federated learning framework for intelligent road surface classification

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Federated Learning-Based Pothole Detection for Smart Road Infrastructure

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A Federated Learning Approach for Scalable Road Condition Detection in Connected Vehicles

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FedRD: Privacy-preserving adaptive Federated learning framework for intelligent hazardous Road Damage detection and warning

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Complex Road Recognition CNN Network Based on Multi-Label Learning

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