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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 351–400 of 1279 papers

TitleStatusHype
A Survey on Radio Frequency Identification as a Scalable Technology to Face Pandemics—0
Deep Reinforcement Learning-Based Dynamic Resource Management for Mobile Edge Computing in Industrial Internet of Things—0
Deep Reinforcement Learning Based Dynamic Trajectory Control for UAV-assisted Mobile Edge Computing—0
A Survey on Deep Neural Network Partition over Cloud, Edge and End Devices—0
Deep Reinforcement Learning and Permissioned Blockchain for Content Caching in Vehicular Edge Computing and Networks—0
Deep Reinforcement Learning Based Multi-Access Edge Computing Schedule for Internet of Vehicle—0
Deep Reinforcement Learning Based Resource Allocation for Cloud Native Wireless Network—0
Deep Reinforcement Learning Based Vehicle Selection for Asynchronous Federated Learning Enabled Vehicular Edge Computing—0
Deep Reinforcement Learning for Collaborative Edge Computing in Vehicular Networks—0
Deep Reinforcement Learning for Task Offloading in UAV-Aided Smart Farm Networks—0
A Survey of NOMA: State of the Art, Key Techniques, Open Challenges, Security Issues and Future Trends—0
Deep Unfolding with Kernel-based Quantization in MIMO Detection—0
Delay Characterization of Mobile Edge Computing for 6G Time-Sensitive Services—0
Delay Minimization for Movable Antennas-Enabled Anti-Jamming Communications With Mobile Edge Computing—0
AGSENet: A Robust Road Ponding Detection Method for Proactive Traffic Safety—0
Dependency-Aware Computation Offloading in Mobile Edge Computing: A Reinforcement Learning Approach—0
A Bayesian Framework of Deep Reinforcement Learning for Joint O-RAN/MEC Orchestration—0
Depthwise Separable Convolutions with Deep Residual Convolutions—0
Design and Implementation of a RISC-V SoC with Custom DSP Accelerators for Edge Computing—0
Design and Optimization of Hierarchical Gradient Coding for Distributed Learning at Edge Devices—0
Multi-dimensional Autoscaling of Processing Services: A Comparison of Agent-based Methods—0
Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey—0
CNNs for JPEGs: A Study in Computational Cost—0
Design of a dynamic and self adapting system, supported with artificial intelligence, machine learning and real time intelligence for predictive cyber risk analytics in extreme environments, cyber risk in the colonisation of Mars—0
Detecting Wildfire Flame and Smoke through Edge Computing using Transfer Learning Enhanced Deep Learning Models—0
Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review—0
A Survey of Blockchain, Artificial Intelligence, and Edge Computing for Web 3.0—0
Deep Learning, Machine Learning, Advancing Big Data Analytics and Management—0
Differentially Private Deep Q-Learning for Pattern Privacy Preservation in MEC Offloading—0
Digital Modeling on Large Kernel Metamaterial Neural Network—0
Digital Twin-assisted Reinforcement Learning for Resource-aware Microservice Offloading in Edge Computing—0
Digital Twin-Based User-Centric Edge Continual Learning in Integrated Sensing and Communication—0
AgroXAI: Explainable AI-Driven Crop Recommendation System for Agriculture 4.0—0
Digital Twinning of a Pressurized Water Reactor Startup Operation and Partial Computational Offloading in In-network Computing-Assisted Multiaccess Edge Computing—0
Deep Learning in the Era of Edge Computing: Challenges and Opportunities—0
DILEMMA: Joint LLM Quantization and Distributed LLM Inference Over Edge Computing Systems—0
Deep Learning for Ultra-Reliable and Low-Latency Communications in 6G Networks—0
Distributed Deep Learning Inference Acceleration using Seamless Collaboration in Edge Computing—0
Distributed Deep Learning Model for Intelligent Video Surveillance Systems with Edge Computing—0
Distributed Deep Reinforcement Learning Based Gradient Quantization for Federated Learning Enabled Vehicle Edge Computing—0
Distributed Intelligence in Wireless Networks—0
Distributed Learning Meets 6G: A Communication and Computing Perspective—0
Distributed Multi-Objective Dynamic Offloading Scheduling for Air-Ground Cooperative MEC—0
Distributed Radiance Fields for Edge Video Compression and Metaverse Integration in Autonomous Driving—0
Distributed Reinforcement Learning for Privacy-Preserving Dynamic Edge Caching—0
Distributed Resource Scheduling for Large-Scale MEC Systems: A Multi-Agent Ensemble Deep Reinforcement Learning with Imitation Acceleration—0
Distributed Threat Intelligence at the Edge Devices: A Large Language Model-Driven Approach—0
Distribution free uncertainty quantification in neuroscience-inspired deep operators—0
Assisted Physical Interaction: Autonomous Aerial Robots with Neural Network Detection, Navigation, and Safety Layers—0
Deep Learning for Secure Mobile Edge Computing—0
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