Распознавание оттенка цветовой метки на основе нечёткой кластеризации
Информатика и автоматизация, 2021 Рассматривается задача определения текущего положения пневматических исполнительных механизмов. Решение поставленной задачи достигается введением системы технического зрения, позволяющей на основе метода нечеткой кластеризации определять в режиме ...
Maxim Bobyr +2 more
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Jurnal Lebesgue, 2023 This study analyzes the model of stunting toddler height gain and its influencing factors with Bayesian Tobit Quantile Regression (BTQR). The data used in this study are secondary data in the form of height data for stunting toddlers in Solok Regency ...
Arfarani Rosalindari +2 more
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ANALISIS HASIL PREDIKSI MAGNITUDO GEMPA DI WILAYAH KOTA PADANG MENGGUNAKAN TEKNIK RANDOM FOREST
Jurnal Lebesgue, 2023 The topic of earthquake prediction is an interesting one to research. As one of the natural disasters, earthquakes are included in natural disasters that can cause considerable damage.
Ade Fauzan, Defri Ahmad
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Characterization of Propagation Models at 5G Network and Effects of SAR on Human Brain [PDF]
International Journal of Electronics and Telecommunications, 2022 Nowadays, the world is turning into technology, fast internet and high signal quality. To ensure high signal quality, the network planners have to predict the pathloss and signal strength of the transmitted signal at specific distances in the design ...
Nawal Al-Aamri +3 more
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RMSE-minimizing confidence intervals for the binomial parameter
Computational Statistics, 2022 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Feng, Kexin +2 more
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Estimating the RMSE of Small Area Estimates without the Tears [PDF]
Stats, 2021 Small area estimation (SAE) methods can provide information that conventional direct survey estimation methods cannot. The use of small area estimates based on linear and generalized linear mixed models is still very limited, possibly because of the perceived complexity of estimating the root mean square errors (RMSEs) of the estimates.
Diane Hindmarsh, David Steel
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Correlation Versus RMSE Loss Functions in Symbolic Regression Tasks
, 2023 Submitted to the GPTP ...
Haut, Nathan +2 more
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Prediction of monthly Arctic sea ice concentrations using satellite and reanalysis data based on convolutional neural networks [PDF]
, 2020 Changes in Arctic sea ice affect atmospheric circulation, ocean current, and polar ecosystems. There have been unprecedented decreases in the amount of Arctic sea ice due to global warming.
Han, Daehyeon +4 more
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Прогнозування короткочасних даних для крипторинку
Adaptivni Sistemi Avtomatičnogo Upravlinnâ, 2023 Розвиток криптовалют та криптобірж викликає необхідність розроблення різноманітних інформаційних технологій, необхідних для створення інструментарію аналізу, торгівлі, а також для автоматизації інших бізнес-процесів у фінансових установах.
V. Duda, O. Rolik
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Comparison of temporal and spatial patterns of water quality parameters in Anzali Wetland (southwest of the Caspian Sea) using Support vector machine model [PDF]
Caspian Journal of Environmental Sciences, 2021 Urgent is growing to have reliable information from the country's water resources. In recent years, data mining models such as artificial neural network (ANN), gene expression programming, Bayesian network, machine algorithms, such as a support vector ...
Maryam Fallah +3 more
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