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Edge-computing

Deep Learning on EDGE devices

Papers

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Showing 1126–1150 of 1279 papers

TitleStatusHype
Distributed Task Offloading and Resource Allocation for Latency Minimization in Mobile Edge Computing Networks—0
Age of Information Optimization in a RIS-Assisted Wireless Network—0
AgroXAI: Explainable AI-Driven Crop Recommendation System for Agriculture 4.0—0
AGSENet: A Robust Road Ponding Detection Method for Proactive Traffic Safety—0
A Survey on Radio Frequency Identification as a Scalable Technology to Face Pandemics—0
AHAR: Adaptive CNN for Energy-efficient Human Activity Recognition in Low-power Edge Devices—0
A Hardware-Efficient ADMM-Based SVM Training Algorithm for Edge Computing—0
A Heuristically Self-Organised Linguistic Attribute Deep Learning in Edge Computing For IoT Intelligence—0
A Hybrid Edge Classifier: Combining TinyML-Optimised CNN with RRAM-CMOS ACAM for Energy-Efficient Inference—0
AI-Driven Health Monitoring of Distributed Computing Architecture: Insights from XGBoost and SHAP—0
AI Driven Heterogeneous MEC System with UAV Assistance for Dynamic Environment -- Challenges and Solutions—0
AI-Driven Vehicle Condition Monitoring with Cell-Aware Edge Service Migration—0
AI-Empowered VNF Migration as a Cost-Loss-Effective Solution for Network Resilience—0
Air-Ground Integrated Mobile Edge Networks: Architecture, Challenges and Opportunities—0
A learning-based solution approach to the application placement problem in mobile edge computing under uncertainty—0
A Life-long Learning Intrusion Detection System for 6G-Enabled IoV—0
A Lightweight and Privacy-Preserving Authentication Protocol for Mobile Edge Computing—0
A Lightweight Deep Learning Model for Human Activity Recognition on Edge Devices—0
A Lightweight Human Pose Estimation Approach for Edge Computing-Enabled Metaverse with Compressive Sensing—0
A Lightweight Video Anomaly Detection Model with Weak Supervision and Adaptive Instance Selection—0
A Machine Learning Approach for Task and Resource Allocation in Mobile Edge Computing Based Networks—0
A Method for Medical Data Analysis Using the LogNNet for Clinical Decision Support Systems and Edge Computing in Healthcare—0
A mixed signal architecture for convolutional neural networks—0
A More Refined Mobile Edge Cache Replacement Scheme for Adaptive Video Streaming with Mutual Cooperation in Multi-MEC Servers—0
An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing—0
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