Results 1 to 10 of about 635,609 (243)
Petroleum Price Prediction with CNN-LSTM and CNN-GRU Using Skip-Connection
Mathematics, 2023 Crude oil plays an important role in the global economy, as it contributes one-third of the energy consumption worldwide. However, despite its importance in policymaking and economic development, forecasting its price is still challenging due to its ...
Gun Il Kim, Beakcheol Jang
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Predicting Saudi Stock Market Index by Using Multivariate Time Series Based on Deep Learning
Applied Sciences, 2023 Time-series (TS) predictions use historical data to forecast future values. Various industries, including stock market trading, power load forecasting, medical monitoring, and intrusion detection, frequently rely on this method.
Mutasem Jarrah, Morched Derbali
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Remote Sensing, 2022 Current Earth observation systems generate massive amounts of satellite image time series to keep track of geographical areas over time to monitor and identify environmental and climate change.
Naik Nitesh Navnath +4 more
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On-Farm Phenotypic Characterization of Indigenous Chicken, in Dire and Yabello Districts, Borena Zone, Oromia Regional State, Ethiopia [PDF]
Journal of Genetic Resources, 2021 This study was conducted in two districts of Borena zone (Ethiopia), with the objectives to characterize phenotypically the indigenous chicken types in the study sites. The study involved both qualitative and quantitative types of research.
Dabasa Wario +2 more
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Applied Sciences, 2022 Climate change has contributed substantially to the weather and land characteristic phenomena. Accurate time series forecasting for climate and land parameters is highly essential in the modern era for climatologists.
Mayur Kishor Shende +5 more
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Comparing statistical process control charts for fault detection in wastewater treatment
Water Science and Technology, 2022 Fault detection is an important part of process supervision, especially in processes where there are strict requirements on the process outputs like in wastewater treatment.
H. L. Marais, V. Zaccaria, M. Odlare
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On Univariate Convex Regression [PDF]
Sankhya A, 2017 We find the local rate of convergence of the least squares estimator (LSE) of a one dimensional convex regression function when (a) a certain number of derivatives vanish at the point of interest, and (b) the true regression function is locally affine. In each case we derive the limiting distribution of the LSE and its derivative.
Ghosal, Promit, Sen, Bodhisattva
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Quantitative Comparison of Statistical Methods for Analyzing Human Metabolomics Data
Metabolites, 2022 Emerging technologies now allow for mass spectrometry-based profiling of thousands of small molecule metabolites (‘metabolomics’) in an increasing number of biosamples.
Mir Henglin +13 more
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Algorithms, 2010 We compare univariate L1 interpolating splines calculated on 5-point windows, on 7-point windows and on global data sets using four different spline functionals, namely, ones based on the second derivative, the first derivative, the function value and ...
Shu-Cherng Fang +3 more
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Multifarious terminology: multivariable or multivariate? univariable or univariate? [PDF]
Paediatric and Perinatal Epidemiology, 2008 [No abstract is available for this article]
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