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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 126–150 of 1279 papers

TitleStatusHype
A New Look at AI-Driven NOMA-F-RANs: Features Extraction, Cooperative Caching, and Cache-Aided Computing—0
An Edge Architecture Oriented Model Predictive Control Scheme for an Autonomous UAV Mission—0
AT-Drone: Benchmarking Adaptive Teaming in Multi-Drone Pursuit—0
A Near Sensor Edge Computing System for Point Cloud Semantic Segmentation—0
Analysis and Optimization of the Latency Budget in Wireless Systems with Mobile Edge Computing—0
Adaptive Synaptogenesis Implemented on a Nanomagnetic Platform—0
Accurate Mapping of RNNs on Neuromorphic Hardware with Adaptive Spiking Neurons—0
Analysis and Optimal Edge Assignment For Hierarchical Federated Learning on Non-IID Data—0
An adaptive cognitive sensor node for ECG monitoring in the Internet of Medical Things—0
Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge Industrial IoT—0
An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing—0
Adaptive Resource Management for Edge Network Slicing using Incremental Multi-Agent Deep Reinforcement Learning—0
Accurate Calibration of Power Measurements from Internal Power Sensors on NVIDIA Jetson Devices—0
4DSR-GCN: 4D Video Point Cloud Upsampling using Graph Convolutional Networks—0
A Comprehensive Review and a Taxonomy of Edge Machine Learning: Requirements, Paradigms, and Techniques—0
A Review on Computational Intelligence Techniques in Cloud and Edge Computing—0
A More Refined Mobile Edge Cache Replacement Scheme for Adaptive Video Streaming with Mutual Cooperation in Multi-MEC Servers—0
Adaptive Quantization of Neural Networks—0
A mixed signal architecture for convolutional neural networks—0
A Method for Medical Data Analysis Using the LogNNet for Clinical Decision Support Systems and Edge Computing in Healthcare—0
Adaptive Processor Frequency Adjustment for Mobile Edge Computing with Intermittent Energy Supply—0
Accuracy-Guaranteed Collaborative DNN Inference in Industrial IoT via Deep Reinforcement Learning—0
A Machine Learning Approach for Task and Resource Allocation in Mobile Edge Computing Based Networks—0
A Lightweight Video Anomaly Detection Model with Weak Supervision and Adaptive Instance Selection—0
Adaptive Orchestration for Inference of Large Foundation Models at the Edge—0
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