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Edge-computing

Deep Learning on EDGE devices

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Showing 251–275 of 1279 papers

TitleStatusHype
Threshold Neuron: A Brain-inspired Artificial Neuron for Efficient On-device Inference—0
LaMI-GO: Latent Mixture Integration for Goal-Oriented Communications Achieving High Spectrum Efficiency—0
Efficient Speech Command Recognition Leveraging Spiking Neural Network and Curriculum Learning-based Knowledge Distillation—0
AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP—0
Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and RoadsidesCode0
AgroXAI: Explainable AI-Driven Crop Recommendation System for Agriculture 4.0—0
Latency Minimization for Movable Antennas-Enabled Relay-aided D2D Mobile Edge Computing Communication Systems—0
Deployment Pipeline from Rockpool to Xylo for Edge Computing—0
Edge AI-based Radio Frequency Fingerprinting for IoT Networks—0
Distribution free uncertainty quantification in neuroscience-inspired deep operators—0
Hybrid variable spiking graph neural networks for energy-efficient scientific machine learning—0
Learnable Sparse Customization in Heterogeneous Edge ComputingCode0
Cloud Platforms for Developing Generative AI Solutions: A Scoping Review of Tools and Services—0
Hierarchical Learning for IRS-Assisted MEC Systems with Rate-Splitting Multiple Access—0
Deep Learning, Machine Learning, Advancing Big Data Analytics and Management—0
Optimizing LoRa for Edge Computing with TinyML Pipeline for Channel Hopping—0
EdgeOAR: Real-time Online Action Recognition On Edge Devices—0
Smart Parking with Pixel-Wise ROI Selection for Vehicle Detection Using YOLOv8, YOLOv9, YOLOv10, and YOLOv11—0
Embedded Machine Learning for Solar PV Power Regulation in a Remote Microgrid—0
Edge Computing for Microgrid via MATLAB Embedded Coder and Low-Cost Smart Meters—0
Characterizing and Modeling AI-Driven Animal Ecology Studies at the EdgeCode0
The Streetscape Application Services Stack (SASS): Towards a Distributed Sensing Architecture for Urban Applications—0
Semantic Edge Computing and Semantic Communications in 6G Networks: A Unifying Survey and Research Challenges—0
Joint Resource Optimization, Computation Offloading and Resource Slicing for Multi-Edge Traffic-Cognitive Networks—0
Towards Efficient Model-Heterogeneity Federated Learning for Large Models—0
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