Results 141 to 150 of about 2,210 (159)
Embedded Sensor Data Fusion and TinyML for Real-Time Remaining Useful Life Estimation of UAV Li Polymer Batteries. [PDF]
Sensors (Basel)Chaoraingern J, Numsomran A.
europepmc +1 more source
AiM: urban air quality forecasting with grid-embedded recurrent MLP model. [PDF]
Sci RepChatterjee K +9 more
europepmc +1 more source
Intelligence at the Extreme Edge: A Survey on Reformable TinyML [PDF]
ACM Computing Surveys, 2023 Tiny Machine Learning (TinyML) is an upsurging research field that proposes to democratize the use of Machine Learning and Deep Learning on highly energy-efficient frugal Microcontroller Units.
Nadeem Ahmed +2 more
exaly +3 more sources
OTA-TinyML: Over the Air Deployment of TinyML Models and Execution on IoT Devices [PDF]
IEEE Internet Computing, 2022 This article presents a novel over-the-air (OTA) technique to remotely deploy tiny ML models over Internet of Things (IoT) devices and perform tasks, such as machine learning (ML) model updates, firmware reflashing, reconfiguration, or repurposing.
John G. Breslin +2 more
exaly +3 more sources
Energy-aware tinyML model selection on zero energy devices
Internet of Things (Netherlands): Tiny Machine Learning (tinyML) enables the efficient deployment of machine learning models on resource-constrained Internet of Things (IoT) devices. However, in scenarios where energy availability is variable and unpredictable, such as with zero energy
Jaron Fontaine +2 more
exaly +1 more source
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DDD TinyML: A TinyML-Based Driver Drowsiness Detection Model Using Deep Learning
Sensors, 2023Norah Alajlan, Dina M. Ibrahim
exaly
Towards energy-aware tinyML on battery-less IoT devices
Internet of Things (Netherlands), 2023Jaron Fontaine +2 more
exaly