Results 11 to 20 of about 93,046 (267)
A Dispersion Compensation Method Based on Resampling of Modulated Signal for FMCW Lidar
In order to eliminate the nonlinearity in the laser modulation process, the dual-interferometers system is often adopted in the frequency modulation continuous wave (FMCW) laser ranging.
Shuo Jiang, Bo Liu, Shengjie Wang
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The Landsat 15-m Panchromatic-Assisted Downscaling (LPAD) method to downscale Landsat-8 Operational Land Imager (OLI) 30-m data to Sentinel-2 multi-spectral instrument (MSI) 20-m resolution is presented. The method first downscales the Landsat-8 30-m OLI
Zhongbin Li +5 more
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Reference sample size for multiple regression in corn [PDF]
: The objective of this work was to determine the number of plants required to model corn grain yield (Y) as a function of ear length (X1) and ear diameter (X2), using the multiple regression model Y = β0 + β1X1 + β2X2.
Alberto Cargnelutti Filho, Marcos Toebe
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When initial sample information falls short of enabling industrial engineers to confidently make decisions about lot quality assessment, repetitive sampling emerges as a solution.
Jose J. Muñoz +2 more
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Arrhythmia detection using resampling and deep learning methods on unbalanced data
Due to cardiovascular diseases millions of people die around the world. One way to detect abnormality in the heart condition is with the help of electrocardiogram signal (ECG) analysis.
E.Y. Shchetinin, A.G. Glushkova
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A Novel Ensemble Framework Based on K-Means and Resampling for Imbalanced Data
Imbalanced classification is one of the most important problems of machine learning and data mining, existing in many real datasets. In the past, many basic classifiers such as SVM, KNN, and so on have been used for imbalanced datasets in which the ...
Huajuan Duan +3 more
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Sample size for estimation of the Pearson correlation coefficient in cherry tomato tests
: The aim of this study was to determine the required sample size for estimation of the Pearson coefficient of correlation between cherry tomato variables. Two uniformity tests were set up in a protected environment in the spring/summer of 2014.
Bruno Giacomini Sari +5 more
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Penderita diabetes di seluruh dunia terus mengalami peningkatan dengan angka kematian sebesar 4,6 juta pada tahun 2011 dan diperkirakan akan terus meningkat secara global menjadi 552 juta pada tahun 2030.
Wahyu Nugraha, Raja Sabaruddin
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In recent years, machine learning and deep learning based fault diagnosis methods have been studied, however, most of them remain at the experimental stage mainly because of two obstacles, briefly, a) inadequate faulty examples and b) various working ...
Tianhao Hu, Tang Tang, Ming Chen
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The Influence of Unbalanced Economic Data on Feature Selection and Quality of Classifiers
Research background: The successful learning of classifiers depends on the quality of data. Modeling is especially difficult when the data are unbalanced or contain many irrelevant variables. This is the case in many applications.
Kubus Mariusz
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