Results 21 to 30 of about 536,376 (289)
Frontiers in Psychology, 2021 In this paper, a new item-weighted scheme is proposed to assess examinees’ growth in longitudinal analysis. A multidimensional Rasch model for measuring learning and change (MRMLC) and its polytomous extension is used to fit the longitudinal item ...
Xuemei Xue, Jing Lu, Jiwei Zhang
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On absolute weighted mean summability methods [PDF]
Proceedings of the American Mathematical Society, 1992 In this paper we have proved the converse of the Bor-Thorpe theorem [2] on absolute weighted mean summability.
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Exponentially weighted mean filter for salt-and-pepper noise removal [PDF]
, 2022 This paper defines an exponentially weighted mean using an exponentially decreasing sequence of simple fractions based on distance. It then proposes a cutting-edge salt-and-pepper noise (SPN) removal filter—i.e., Exponentially Weighted Mean Filter (EWmF).
Erkan, Uğur, Enginoğlu, Serdar
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IEEE Access, 2022 For the dynamic multi-attribute decision-making problem, the decision information is usually given in the form of the interval-valued picture fuzzy number (IVPFN), and the attributes are also usually related to each other, a decision method based on the ...
Jian-Ping Fan, Heng Zhang, Mei-Qin Wu
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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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An Improved Adaptive Weighted Mean Filtering Approach for Metallographic Image Processing
Journal of Intelligent Systems, 2021 As noise brings great error in the analysis of metallographic images, an adaptive weighted mean filtering method proposed to overcome the shortcomings of the standard mean filtering method.
Shao Chonglei, Kaur Preet, Kumar Rajeev
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Predicting equity market price impact with performance weighted ensembles of random forests [PDF]
, 2014 For many players in financial markets, the price impact of their trading activity represents a large proportion of their transaction costs. This paper proposes a novel machine learning method for predicting the price impact of order book events ...
Enrico Gerding +5 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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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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An Adaptive Image Inpainting Method Based on the Weighted Mean
Informatica, 2019 Imaging inpainting is the process of digitally filling-in missing pixel values in images and requires carefully crafted image analysis tools. In this work, we propose an adaptive image inpainting method based on the weighted mean. The weighted mean is assessed to be better than the median because, for the case of the weighted mean, we can exclude the ...
Nguyen Hoang Hai +4 more
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