Results 11 to 20 of about 93,046 (267)

A Dispersion Compensation Method Based on Resampling of Modulated Signal for FMCW Lidar

open access: yesSensors, 2021
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
doaj   +1 more source

Landsat 15-m Panchromatic-Assisted Downscaling (LPAD) of the 30-m Reflective Wavelength Bands to Sentinel-2 20-m Resolution

open access: yesRemote Sensing, 2017
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
doaj   +1 more source

Reference sample size for multiple regression in corn [PDF]

open access: yesPesquisa Agropecuária Brasileira, 2019
: 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
doaj   +1 more source

Optimized repetitive sampling X-bar control chart: performance evaluation and comparison with Shewhart control chart

open access: yesFrontiers in Applied Mathematics and Statistics, 2023
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
doaj   +1 more source

Arrhythmia detection using resampling and deep learning methods on unbalanced data

open access: yesКомпьютерная оптика, 2022
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
doaj   +1 more source

A Novel Ensemble Framework Based on K-Means and Resampling for Imbalanced Data

open access: yesApplied Sciences, 2020
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
doaj   +1 more source

Sample size for estimation of the Pearson correlation coefficient in cherry tomato tests

open access: yesCiência Rural, 2017
: 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
doaj   +1 more source

Teknik Resampling untuk Mengatasi Ketidakseimbangan Kelas pada Klasifikasi Penyakit Diabetes Menggunakan C4.5, Random Forest, dan SVM

open access: yesTechno.Com, 2021
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
doaj   +1 more source

Data Simulation by Resampling—A Practical Data Augmentation Algorithm for Periodical Signal Analysis-Based Fault Diagnosis

open access: yesIEEE Access, 2019
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
doaj   +1 more source

The Influence of Unbalanced Economic Data on Feature Selection and Quality of Classifiers

open access: yesFolia Oeconomica Stetinensia, 2020
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
doaj   +1 more source

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