Results 281 to 290 of about 201,886 (307)

RMSE POWER COEFFICIENT OF WIND TURBINES WITH INVERSE TOQUE-SPEED CONTROL

ShodhKosh: Journal of Visual and Performing Arts
The Blade Element Momentum (BEM) method stands out among various turbine modelling techniques due to its integration of airfoil aerodynamics with momentum theory, allowing detailed force calculations on blade elements. While traditional methods like BEM and Wake Models are efficient for initial turbine design, advancements in computational power have ...
Rishikesh Choudhary, Kumar Jyotiraditya, Dipo Mahto   +2 more
openaire   +1 more source

Clustering Analysis to Improve Web Search Ranking Using PCA and RMSE

2020
Classification of web pages is the first step of web page ranking (or we can call it indexing), one of the most common ways to achieve indexing process is clustering that pages into groups as per the similarity, whenever the misclassification is less, the result will be perfect. Moreover, clustering is a collection of algorithms that dive the data into
Mohammed A. Ko’adan, Mohammed A. Bamatraf, Khalid Q. Shafal   +2 more
openaire   +1 more source

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, Edison A. C. Aranha Neto, Marcos A. Izumida Martins, Gabriel H. Dos S. Costa, Mathias Arno Ludwig   +4 more
exaly   +2 more sources

Fast Fractal Image Coding Method Based on RMSE and DCT Classification

Applied Mechanics and Materials, 2012
To solve the problem of long time consuming in the fractal encoding process, a fast fractal encoding algorithm based on RMSE (Root mean square error) and DCT (Discrete Cosine Transform) classification is proposed. During the encoding process, firstly, the image is divided into range blocks and domain blocks by quadtree partition according to RMSE, then,
Xian Qiang Lv, Song Yang, Xin Zhang, Ying Wang, Yun Feng Shi, Liu Wei   +5 more
openaire   +1 more source

An Optimized DTW Algorithm Using the RMSE Approach to Classify the Liquids in Ka-Band

IETE Journal of Research, 2020
ABSTRACTIn this paper, a new optimized algorithm is presented to classify the liquids with high-level accuracy using raw data which show the transmission parameter (S21) of liquids.
openaire   +2 more sources

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

Multi-Layered Cardiac Arrhythmia Detection Using RMSE Method

2023 IEEE International Conference on Contemporary Computing and Communications (InC4), 2023
A Raja, K S Smitha, P M Prathibbhavani, K R Venugopal   +3 more
openaire   +1 more source

RMSE Reduction for GMM Estimators of Linear Time Series Models [PDF]

, 2000
In this paper we analyze GMM estimators for time series models as advocated by Hayashi and Sims, and Hansen and Singleton. It is well known that these estimators achieve efficiency bounds if the number of lagged observations in the instrument set goes to infinity. A new version of the GMM estimator based on kernel weighted moment conditions is proposed.
openaire  

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

Geoscientific Model Development, 2022
Timothy Hodson
exaly  

Parameter extraction of photovoltaic models using atomic orbital search algorithm on a decent basis for novel accurate RMSE calculation

Energy Conversion and Management, 2023
Adil Sarwar
exaly