May 19, 2022 · This article proposes a soft-sensor solution based on an embedded system designed to retrieve data from vehicles through their OBD-II interface.
Oct 22, 2024 · TinyML plays a critical role in urban air quality monitoring by integrating into embedded systems to estimate CO2 emissions from vehicles using ...
A TinyML Soft-Sensor Approach for Low-Cost Detection and Monitoring ...
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Therefore, this article proposes a soft-sensor solution based on an embedded system designed to retrieve data from vehicles through their OBD-II ...
Therefore, this article proposes a soft-sensor solution based on an embedded system designed to retrieve data from vehicles through their OBD-II interface, ...
We present the results of applying and deploying a TinyML model into a typical OBD-II automotive scanner to serve as a soft-sensor and estimate carbon dioxide ...
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Apr 12, 2024 · highlycitedpaper A TinyML Soft-Sensor Approach for Low-Cost Detection and Monitoring of Vehicular Emissions https://t.co/FQ4zu1DaRX @ufrnbr.
In the vehicle field, the soft sensors can be used to monitor parameters such as engine performance, emissions, and fuel efficiency. They help improve driving ...
A TinyML Soft-Sensor Approach for Low-Cost Detection and Monitoring of Vehicular Emissions · Environmental Science, Engineering. Sensors · 2022.
Jan 22, 2024 · This paper explores the feasibility of using Tiny Machine Learning (TinyML) to develop a compact system for inferring environmental pollution levels at a ...
This paper proposes a wireless sensor network solution to monitor vehicles exhaust systems pollution emission and evaluates the feasibility of the proposed ...