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SRG and RMSE-Based Automated Segmentation for Volume Data
Lecture Notes in Computer Science, 2017Feature visualization plays an important role in volume visualization as it can alleviate the existing problems in direct volume rending. While extraction of the predefined features is also an issue which is difficult to solve. Volume segmentation is of great significance for feature visualization as it is pre-processing of feature extraction ...
Wang Li, Xiaoan Tang, Junda Zhang
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Analysis of Positioning Performance of the Algorithm of Time Sum of Arrival with RMSE
Communications in Computer and Information Science, 2017Multilateration location is widely used in airports surface and terminal areas with replying pulse signal. The theoretical positioning accuracy of Multilateration location based on TDOA is very high. However, there are some problems in practical applications.
Fengxun Gong, Ma Yanqiu
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RMSE comparison of path loss models for UHF/VHF bands in India
2014 IEEE REGION 10 SYMPOSIUM, 2014This 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 ...
Mohammed Khan
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Canopy�K-means Combined Collaborative Filtering Using RMSE-minimization
2022 IEEE International Conference on Big Data and Smart Computing (BigComp), 2022Ha-Joo Song
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RMSE calculation of LSTM models for predicting prices of different cryptocurrencies
International Journal of System Assurance Engineering and Management, 2021Cryptocurrencies are becoming popular day by day and their use in financial applications has also increased; hence they are recognized as a method for payments. For decades, trading in cryptocurrency has been popular and constantly increasing in financial markets; hence investors are looking forward to their positive returns through these ...
Nitima Malsa, Vaibhav Vyas, Jyoti Gautam
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RMSE Computation and Detection of Ring P. Falciparum
2023Malaria is a disease that is threat to our life and it is caused by a parasite named protozoan. As we all studied that there are five species of malaria falciparum, p.vivax, p. malaria, p. ovale, and p. knowlesi. Some of the common symptoms of malaria are fever, fatigue, headache, cough, abdominal pain, nausea.
Rinki Tyagi, Geetanjali .
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Quality Assessment of Speckle Patterns by Estimating RMSE
2017The primary objective of this proceeding is to properly assess the quality of speckle patterns utilized in digital image correlation (DIC). Since a good pattern should associate with a small measurement error, the overall error can be used to assess the quality of a speckle pattern.
Yong Su, Qingchuan Zhang
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Speech Emotion Recognition using MFCC, GFCC, Chromagram and RMSE features
2021 8th International Conference on Signal Processing and Integrated Networks (SPIN), 2021In recent years, increasing attention is given to the research of the emotions present in speech. Various systems are developed aiming to detect the emotions in the speaker’s statements. One of the biggest differences between a machine and a human is understanding the emotions of others and behaving accordingly. Researchers are working on bridging this
Hrithik Patni +3 more
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Bias And RMSE of Archimedean Copula using Moment And L-Moments Methods
2020 2nd International Conference on Mathematics and Information Technology (ICMIT), 2020In this paper we are concerned by a semiparametric estimation of Archimedean copulas models, two methods are mentioned, the method of moments and L-moments, recently developed by Brahimi et. al. (2012), Benatia et. al.(2012) whose advantage is to be valid even for nonexistent or infinite moments distributions.
Nesrine Idiou +2 more
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