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Jurnal Saintekom, 2022 Pharmacy is a business-oriented business which directly sells medicines to consumers. In ensuring that the drug supply is in accordance with market demand, the leadership of the Hasanah Palangka Raya Pharmacy usually estimates the drug supply for the ...
I Gede Bawa Aprilyanta +2 more
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Estimating statistical distributions using an integral identity [PDF]
, 2012 We present an identity for an unbiased estimate of a general statistical distribution. The identity computes the distribution density from dividing a histogram sum over a local window by a correction factor from a mean-force integral, and the mean force ...
Cheng Zhang +3 more
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Deep Learning-Based Amplitude Fusion for Speech Dereverberation
Discrete Dynamics in Nature and Society, 2020 Mapping and masking are two important speech enhancement methods based on deep learning that aim to recover the original clean speech from corrupted speech. In practice, too large recovery errors severely restrict the improvement in speech quality.
Chunlei Liu, Longbiao Wang, Jianwu Dang
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The (C, α) integrability of functions by weighted mean methods
Filomat, 2012 Let p(x) be a nondecreasing continuous function on [0, ?) such that p(0) = 0 and p(t) ? ? as t ? ?. For a continuous function f (x) on [0, ?), we define s(t)= ?0t f(u)du and ?? (t) =?0t? (1- p(u)/p(t))? f(u)du. We say that a continuous function f (x) on [0, ?) is (C, ?) integrable to a by the weighted mean method determined by the ...
Çanak I., Totur Ü.
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Short-Term Load Forecasting of Natural Gas with Deep Neural Network Regression [PDF]
, 2018 Deep neural networks are proposed for short-term natural gas load forecasting. Deep learning has proven to be a powerful tool for many classification problems seeing significant use in machine learning fields such as image recognition and speech ...
Brown, Ronald H. +2 more
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Brain network analysis : separating cost from topology using cost-integration [PDF]
, 2011 A statistically principled way of conducting brain network analysis is still lacking. Comparison of different populations of brain networks is hard because topology is inherently dependent on wiring cost, where cost is defined as the number of edges in
Bullmore, Edward T. +3 more
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General Tauberian conditions for weighted mean methods of summability [PDF]
Journal of Classical Analysis, 2019 Summary: In this paper we recover convergence of a complex sequence \((u_n)\) out of its summability by weighted means under certain supplementary conditions that control the oscillatory behavior of \((u_n)\). As corollaries, we obtain classical Hardy-type Tauberian conditions for various weighted mean methods.
Sezer, Sefa Anıl, Çanak, İbrahim
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Advances in Materials Science and Engineering, 2022 There are many multicriteria decision-making (MCDM) methods applicable to material selection. It may produce considerable differences between the material selection results.
Won Chol Yang +3 more
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A weighted reduced basis method for parabolic PDEs with random data
, 2017 This work considers a weighted POD-greedy method to estimate statistical outputs parabolic PDE problems with parametrized random data. The key idea of weighted reduced basis methods is to weight the parameter-dependent error estimate according to a ...
B Haasdonk +15 more
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International Journal of Distributed Sensor Networks, 2019 This article introduces the concept of Heronian mean operators, geometric Heronian mean operators, neutrosophic cubic number–improved generalized weighted Heronian mean operators, neutrosophic cubic number–improved generalized weighted geometric Heronian
Muhammad Gulistan +5 more
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