Results 21 to 30 of about 27,398 (301)
Machine Learning, 1996 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Sensors, 2020 The distinction between subject-dependent and subject-independent performance is ubiquitous in the human activity recognition (HAR) literature. We assess whether HAR models really do achieve better subject-dependent performance than subject-independent ...
Sebastian Scheurer +3 more
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Extrapolation method of precipitation nowcasting radar echo based on GCA-ConvLSTM prediction network
暴雨灾害, 2023 Precipitation nowcasting is of great significance for severe convective weather warning. Radar echo extrapolation is a commonly used precipitation nowcasting method.
Wei FANG +3 more
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Comparative Analysis of the Effect of Pre-Harvest Bagging and Non-Bagging Treatment on Fruit Quality of ‘Younai’ Plum by UPLC-MS/MS and GC-IMS [PDF]
Shipin Kexue, 2023 In this study, ultra-high performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) and gas chromatography-ion mobility spectrometry (GC-IMS) combined with multivariate statistical analysis were used to analyze the effect of pre-harvest ...
LIN Yanjuan, ZHOU Danrong, FANG Zhizhen, CHEN Wenguang, YE Xinfu
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Advanced Methods—Vacuum Bagging and Prepreg Moulding
, 2021 Vacuum bagging and prepreg moulding methods are introduced in this chapter. These advanced moulding techniques address some of the shortcomings of wet layup (hand lamination) but require additional equipment and consumables, as well as higher fabricator ...
Hall, W +3 more
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The Wisdom of the Data: Getting the Most Out of Univariate Time Series Forecasting
Forecasting, 2021 Forecasting is a challenging task that typically requires making assumptions about the observed data but also the future conditions. Inevitably, any forecasting process will result in some degree of inaccuracy.
Fotios Petropoulos, Evangelos Spiliotis
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Energy Consumption Prediction Using Data Reduction and Ensemble Learning Techniques
Journal of ICT Research and Applications, 2022 Building energy problems have various kinds of aspects, one of which is the difficulty of measuring energy efficiency. With current data development, energy efficiency measurements can be made by developing predictive models to estimate future building ...
Marsa Thoriq Ahmada, Saiful Akbar
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Компьютерная оптика, 2020 An abstract model of an artificial immune network (AIS) based on a classifier committee and robust learning algorithms (with and without a teacher) for classification problems, which are characterized by small volumes and low representativeness of ...
A.E. Sulavko
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Applying Machine Learning Techniques to the Audit of Antimicrobial Prophylaxis
Applied Sciences, 2022 High rates of inappropriate use of surgical antimicrobial prophylaxis were reported in many countries. Auditing the prophylactic antimicrobial use in enormous medical records by manual review is labor-intensive and time-consuming.
Zhi-Yuan Shi +4 more
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Forecasting Realized Volatility with Linear and Nonlinear Models [PDF]
In this paper we consider a nonlinear model based on neural networks as well as linear models to forecast the daily volatility of the S&P 500 and FTSE 100 indexes.
Michael McAleer, Marcelo Cunha Medeiros
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