This paper introduces a study done to evaluate the use of machine learning regression techniques to predict the link quality of communications done by IoT ...
Abstract—This paper introduces a study done to evaluate the use of machine learning regression techniques to predict the link quality of communications done ...
Based on the node location, the suggested approach can estimate the connection quality of the most common cloud communication protocols, such as cellular, Wi-Fi ...
A deep learning model is proposed to predict the IoT communication systems performance. · The proposed model has a significant positive impact on the sustainable ...
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On the other hand, effective prediction of link quality can provide great performance returns, such as improved network throughput due to reduced packet drops, ...
For that purpose, we evaluate the performance of four machine learning techniques (i.e. Linear Support Vector Machine, Logistic Regression, Support Vector ...
An ML-based method is used to automatically predict activity quality and automatically assess cognitive health based on activity quality. SVM, principal ...
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A Systematic Review of Machine Learning and IoT Applied to the ...
pmc.ncbi.nlm.nih.gov › PMC10454027
Aug 9, 2023 · Many applications and frameworks have been developed using machine learning and deep learning for CVD prediction and monitoring, improving the ...
Jan 8, 2020 · In this paper, we propose to predict link quality by means of machine learning techniques applied on two metrics: RSSI and PDR.
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