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RMSE comparison of path loss models for UHF/VHF bands in India

2014 IEEE REGION 10 SYMPOSIUM, 2014
This paper describes a study on path loss variation in UHF/VHF bands in India from a root mean square error perspective. The aim of this study is to compare existing propagation path loss models in various parts of India. We calculate average root mean square error (RMSE) between measured path loss and those predicted by the existing path loss models ...
Bolli Sridhar, Mohammed Zafar Ali Khan
openaire   +1 more source

Multi-Layered Cardiac Arrhythmia Detection Using RMSE Method

2023 IEEE International Conference on Contemporary Computing and Communications (InC4), 2023
A Raja   +3 more
openaire   +1 more source

Canopy�K-means Combined Collaborative Filtering Using RMSE-minimization

2022 IEEE International Conference on Big Data and Smart Computing (BigComp), 2022
Sao-I Kuan   +3 more
openaire   +1 more source

Approach Advancing Stock Market Forecasting with Joint RMSE Loss LSTM-CNN Model

Fluctuation and Noise Letters
The intricacies and dynamism of financial markets pose challenges to models seeking to comprehensively capture the multitude of factors influencing stock price movements. As such, there remains room for improvement in forecasting accuracy. In response, we introduce a novel approach that unifies the Root Mean Square Error (RMSE), loss functions of Long
Mungara Kiran Kumar   +5 more
openaire   +1 more source

Root-mean-square error (RMSE) or mean absolute error (MAE): when to use them or not

Geoscientific Model Development, 2022
Timothy O Hodson
exaly  

MAE and RMSE Analysis of K-means Predictive Algorithm for Photovoltaic Generation

2022 International Conference on Electrical, Computer and Energy Technologies (ICECET), 2022
Paula Zenni Lodetti   +4 more
openaire   +1 more source

Friction estimation – optimization of sensor configuration with respect to RMSE and costs

2014
The accuracy of friction estimation depends on the sensors used. Furthermore, the costs of sensors have to be considered during system design.
openaire   +1 more source

Early Cervical Cancer Diagnostics Detection Based on RMSE and Extreme Learning Machine

2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS), 2023
Aditya Kumar Singh Pundir   +5 more
openaire   +1 more source

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