Kalman Filter and Artificial Neural Network for Real time Sensor Denoising-Reference-Cited by-同舟云学术

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Kalman Filter and Artificial Neural Network for Real time Sensor Denoising

Published:2023-12-01 Issue: Volume:11 Page:107-112
ISSN:
Container-title:2023 International Conference on Information Technology and Computing (ICITCOM)
language:
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Author:

Armando Egas¹,Hanyurwimfura Damien¹,Gatera Omar²,Nduwumuremyi Athanase³

Affiliation:

1. African Center of Excelence in Internet of Things University of Rwanda,Kigali,Rwanda

2. School of Engineering, African Center of Excelence in Internet of Things University of Rwanda,Kigali,Rwanda

3. Rwanda Agriculture and Animal Resources Development Board,Kigali,Rwanda

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10441784/10441792/10441838.pdf?arnumber=10441838

Reference25 articles.

1. Measurement Noise Recommendation for Efficient Kalman Filtering over a Large Amount of Sensor Data

2. Development and Implementation of Kalman Filter for IoT Sensors: Towards a Better Precision Agriculture

3. Challenges to Use Machine Learning in Agricultural Big Data: A Systematic Literature Review

4. Internet of Things-Driven Data Mining for Smart Crop Production Prediction in the Peasant Farming Domain

5. A Kalman particle filter for online parameter estimation with applications to affine models

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