Augmented Intelligence of Things for Emergency Vehicle Secure Trajectory Prediction and Task Offloading

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Dependency-Aware Task Offloading and Service Caching in Vehicular Edge Computing

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Digital Twin-Driven Intelligent Task Offloading for Collaborative Mobile Edge Computing

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Distributed Offloading in Overlapping Areas of Mobile-Edge Computing for Internet of Things

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Cooperative Task Offloading for Mobile Edge Computing Based on Multi-Agent Deep Reinforcement Learning

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Latency Minimization for Mobile Edge Computing Networks

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Joint Task Offloading and Resource Allocation for Vehicular Edge Computing With Result Feedback Delay

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A Tutorial-Generating Method for Autonomous Online Learning

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V2V Task Offloading Algorithm with LSTM-based Spatiotemporal Trajectory Prediction Model in SVCNs

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VD-Net: An Edge Vision-Based Surveillance System for Violence Detection

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Multi-agent deep reinforcement learning for task offloading in group distributed manufacturing systems

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Robust Task Offloading in Dynamic Edge Computing

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Multiagent Deep Reinforcement Learning for Dynamic Avatar Migration in AIoT-Enabled Vehicular Metaverses With Trajectory Prediction

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An IoMT enabled deep learning framework for automatic detection of fetal QRS: A solution to remote prenatal care

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An intelligent blockchain-based access control framework with federated learning for genome-wide association studies

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Grafting Laplace and Gaussian Distributions: A New Noise Mechanism for Differential Privacy

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SIT: A Spatial Interaction-Aware Transformer-Based Model for Freeway Trajectory Prediction

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IPP: An Intelligent Privacy-Preserving Scheme for Detecting Interactions in Genome Association Studies

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Augmented Deep Reinforcement Learning for Online Energy Minimization of Wireless Powered Mobile Edge Computing

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Task Offloading with Task Classification and Offloading Nodes Selection for MEC-Enabled IoV

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TCN enhanced novel malicious traffic detection for IoT devices

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Task Migration and Resource Allocation Scheme in IoV With Roadside Unit

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Energy Efficient Task Caching and Offloading in UAV-Enabled Crowd Management

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Development of edge computing and classification using The Internet of Things with incremental learning for object detection

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Maneuver-Aware Pooling for Vehicle Trajectory PredictionPreprint

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A Socially-Aware Dependent Tasks Offloading Strategy in Mobile Edge Computing

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Multiuser Computation Offloading for Long-Term Sequential Tasks in Mobile Edge Computing Environments

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A Vehicular Task Offloading Method With Eliminating Redundant Tasks in 5G HetNets

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FedTO: Mobile-Aware Task Offloading in Multi-Base Station Collaborative MEC

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Spectrally Efficient Uplink Cooperative NOMA With Joint Decoding for Relay-Assisted IoT Networks

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Graph Optimized Data Offloading for Crowd-AI Hybrid Urban Tracking in Intelligent Transportation Systems

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Task offloading scheme combining deep reinforcement learning and convolutional neural networks for vehicle trajectory prediction in smart cities

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Leveraging Augmented Intelligence of Things to Enhance Lifetime of UAV-Enabled Aerial Networks

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An Online Framework for Ephemeral Edge Computing in the Internet of Things

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Vehicle Trajectory Prediction Method for Task Offloading in Vehicular Edge Computing

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Combinatorial Client-Master Multiagent Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing

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Interactive Vehicle Trajectory Prediction for Highways Based on a Graph Attention Mechanism

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Entropy-informed deep residual network for nonlinear EEG dynamics in fine-grained driver state recognition

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Augmented Multiagent DRL for Multi-Incentive Task Prioritization in Vehicular Crowdsensing

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DCAM-DETR: Dual Cross-Attention Mamba Detection Transformer for RGB–Infrared Anti-UAV Detection

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A Cloud–Edge–Vehicle Framework for Task Offloading With Trajectory Prediction Information

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Artificial Intelligence and Carbon Emissions of Manufacturing Enterprises in China

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Asynchronous DRL and Trajectory Prediction Based Vehicle Edge Computing Task Offloading

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A Cloud–Edge–Vehicle Framework for Task Offloading With Trajectory Prediction Information

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ST-GCN and Reinforcement Learning-Assisted Dynamic Multistrategy Task Offloading in Edge-IoT Vehicular Networks

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Task offloading scheme combining deep reinforcement learning and convolutional neural networks for vehicle trajectory prediction in smart cities

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TP-IoV: A task prediction-oriented cloud-edge collaborative offloading framework for Internet of vehicles

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