Edge
On-Device & Edge AI
Efficient, quantized and edge-deployed models that run locally.
973 papers · Aggregated across sources — IEEE, arXiv, ACM, Springer, Elsevier and more.
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Behavior change pathways by which digital wearable devices support exercise self-management in type 2 diabetes: a scoping review with machine learning–assisted text mining
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A Comprehensive Study On Machine Learning Driven Smart Water Conservation And Management Device
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Brain‐Like Computing Using CuInS <sub>2</sub> Quantum Dots: A Synergy of Materials, Devices, and Machine Learning Modeling
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Predetermined Change Control Plan Adoption and Documentation Transparency in FDA-cleared Radiology Artificial Intelligence/Machine Learning Devices
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Advanced Distance Estimation in ESP32‐S2 IoT Devices Using Machine Learning‐Enhanced FTM
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Real-Time Comparison of Machine Learning-Enabled Devices for Measuring Compensatory Reserve Status
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Body Length, Tow Conditions, and Guide-Net Angle as Joint Predictive Contributors to Catch Loss in a Marine Mammal Bycatch Reduction Device: An Interpretable Machine Learning Analysis
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Wearable IoT Devices for Chronic Disease Monitoring: Sensors, Data Transmission, and Machine Learning Inference
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Multi-objective optimization of shading devices for glass corridors in historic building extensions: an interpretable machine learning based framework
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Wearable Devices and Machine Learning in Cardiovascular Monitoring: Current Evidence and Future Directions for Precision Medicine
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Three Decades of Food and Drug Administration Authorizations of Artificial Intelligence/Machine Learning-Enabled Medical Devices: Persistent Specialty Concentration and the Care-Delivery Gap (1995–2025)
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AI-Enhanced IoT-Based Solar Panel Fault Detection Device Using Edge AI, Machine Learning, and Digital Twin Technology for Real-Time Photovoltaic System Monitoring
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Machine Learning for Zinc‐Based Energy Storage Devices: From Data‐Driven Design to Mechanistic Insights
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Development and evaluation of wrist- and thigh-worn accelerometer algorithms using self-training machine learning models for classification of activity type and posture: towards device placement-agnostic methods in the ProPASS consortium
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A Unified AI-Driven Signal Processing and Machine Learning Optimization Framework for Energy-Efficient Smart Wearable Devices in 5G/6G Communication Systems
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Additional file 1 of Development and evaluation of wrist- and thigh-worn accelerometer algorithms using self-training machine learning models for classification of activity type and posture: towards device placement-agnostic methods in the ProPASS consortium
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Microscopy-Guided Machine Learning for Femtosecond-Laser Surface Engineering of Glass Microfluidic Lab-on-Chip Devices
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Beyond Rectangular Shades: Optimization of Amorphous Horizontal Shading Devices Through Machine Learning and Multi-Objective Algorithms
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Integrating Device Simulation with Machine Learning for Improved Characteristic of Halo Doped Gate Stack Triple Metal Gate all around (HD-GS-TM-GAA) MOSFET
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Co‐Design of Stretchable Fabric Sensors and Tiny Machine Learning for Human Interface Device‐Based Edge‐Intelligent Wearable Gloves
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Energy-Efficient Machine Learning for Edge Devices: A Practical Guide to Sustainable On-Device Inference