Results 1 to 10 of about 1,675,186 (285)
Weighted Geometric Mean (WGM) method: A new chromatic adaptation model.
PLoS ONE, 2023 The human visual system has undergone evolutionary changes to develop sophisticated mechanisms that enable stable color perception under varying illumination.
Che Shen, Mark D Fairchild
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Tauberian Remainder Theorems for the Weighted Mean Method of Summability
Mathematical Modelling and Analysis, 2014 Using the weighted general control modulo, we prove several Tauberian remainder theorems for the weighted mean method of summability. Our results generalize the results proved by Meronen and Tammeraid [Math. Model. Anal. 18 (1) 2013, 97–102].
Sefa Anil Sezer, Ibrahim Canak
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Weighted mean: A possible method to express overall Dhatu Sarata
Journal of Ayurveda and Integrative Medicine, 2015 Several questions are being raised regarding the accuracy of the methods of diagnosis and reporting of various clinical parameters according to Ayurveda in recent times.
Chandar Prakash Gunawat +3 more
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PLoS ONE, 2023 In order to further improve the computing power of the information aggregation operator in the q-rung orthopair probabilistic hesitant fuzzy environment, this paper proposes a multi-attribute decision-making method based on the q-rung orthopair ...
Zhiyuan Chen +4 more
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Tauberian theorems for weighted means of double sequences in intuitionistic fuzzy normed spaces [PDF]
Yugoslav Journal of Operations Research, 2022 We define weighted mean summability method of double sequences in intuitionistic fuzzy normed spaces(IFNS), and obtain necessary and sufficient Tauberian conditions under which convergence of double sequences in IFNS follows from their weighted mean ...
Narayan Mishra Lakshmi +3 more
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Applied Sciences, 2022 Since the hardware limitations of satellite sensors, the spatial resolution of multispectral (MS) images is still not consistent with the panchromatic (PAN) images.
Yuetao Pan +4 more
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Combination Evaluation Method of Fuzzy C-Mean Clustering Validity Based on Hybrid Weighted Strategy
IEEE Access, 2021 Clustering validity function is an index used to judge the accuracy of clustering results. At present, most studies on clustering validity are based on single clustering validity function.
H. Y. Wang, J. S. Wang, G. Wang
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Criteria for Weighted Moving-Mean Method [PDF]
Journal of Applied Mathematics and Physics, 2019 The moving-mean method is one of the conventional approaches for trend-extraction from a data set. It is usually applied in an empirical way. The smoothing degree of the trend depends on the selections of window length and weighted coefficients, which are associated with the change pattern of the data.
Shuo Jiang, Jinliang Wang
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Mean Error Rate Weighted Online Boosting Method
The Computer Journal, 2021 Abstract Boosting is a generally known technique to convert a group of weak learners into a powerful ensemble. To reach this desired objective successfully, the modules are trained with distinct data samples and the hypotheses are combined in order to achieve an optimal prediction. To make use of boosting technique in online condition is
Nagaraj Honnikoll, Ishwar Baidari
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New Strategy for Improving the Accuracy of Aircraft Positioning Based on GPS SPP Solution
Sensors, 2020 The paper describes and presents a new calculation strategy for the determination of the aircraft’s resultant position using the GPS (Global Positioning System) SPP (Single Point Positioning) code method.
Kamil Krasuski +3 more
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