Results 1 to 10 of about 83,179 (266)
Computers, 2023 Machine Learning is widely used in cybersecurity for detecting network intrusions. Though network attacks are increasing steadily, the percentage of such attacks to actual network traffic is significantly less.
Sikha S. Bagui +3 more
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Detection of Credit Card Fraud with Machine Learning Methods and Resampling Techniques
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2022 Financial institutions in the form of banks provide facilities in the form of credit cards, but with the development of technology, fraud on credit card transactions is still common, so a system is needed that can detect fraud transactions quickly and ...
Moh. Badris Sholeh Rahmatullah +4 more
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Applied Sciences, 2022 Land use/land cover (LULC) has an important impact on the ecological environment and is crucial for calculating ecosystem service values (ESVs). However, whether and to what extent the ESVs vary when calculated by LULC product data at different spatial ...
Ziwen Huo +3 more
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IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2023 Cardiovascular disease (CVD) is the leading cause of death worldwide. Primary prevention is by early prediction of the disease onset. Using laboratory data from the National Health and Nutrition Examination Survey (NHANES) in 2017-2020 timeframe (N= 7 ...
Fadlan Hamid Alfebi, Mila Desi Anasanti
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GEOSTATISTICAL MODELING OF SOYBEAN YIELD AND SOIL CHEMICAL ATTRIBUTES USING SPATIAL BOOTSTRAP [PDF]
Engenharia Agrícola, 2019 The goal of this study was to use the spatial bootstrap method to model the spatial dependence structure of soybean yield and soil chemical attributes in an agricultural area.
Gustavo H. Dalposso +4 more
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Remote Sensing, 2023 Geostationary satellite-based remote sensing is a powerful tool to observe and understand the spatiotemporal variation of cloud optical-microphysical properties and their climatologies.
Dongchen Li, Masanori Saito, Ping Yang
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Adaptive memory-based single distribution resampling for particle filter
Journal of Big Data, 2017 The restrictions that are related to using single distribution resampling for some specific computing devices’ memory gives developers several difficulties as a result of the increased effort and time needed for the development of a particle filter. Thus,
Wan Mohd Yaakob Wan Bejuri +4 more
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A Dispersion Compensation Method Based on Resampling of Modulated Signal for FMCW Lidar
Sensors, 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
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Remote 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
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Reference sample size for multiple regression in corn [PDF]
Pesquisa 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
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