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Titlebook: Mathematical Analysis and Computing; ICMAC 2019, Kalavak R. N. Mohapatra,S. Yugesh,C. Kalaivani Conference proceedings 2021 The Editor(s)

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S. Banu Priya,A. Parthibanle for gradual label filtering and correction of noisy labels. The framework is flexible in terms of the precise deep neural network (DNN) models used. Method analysis and empirical evaluation demonstrate that our approach exhibits superior performance on open datasets with noisy annotations. The sa
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Xiaoyan Lius for the exclusion of subsequent criteria was also carried out. The results obtained were compared regarding selecting the different significance of the criteria weights. An additional six Fuzzy Multi-Criteria Decision Analysis (MCDA) methods were used for a comprehensive analysis, and the results
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On Generalized Kantorovich Sampling Type Series,s that when . belongs to . (the set of all . such that . is twice differentiable functions), the convergence is uniform. Finally, we give some examples for the kernel to which the theory can be applied.
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A Distinct Method for Solving Fuzzy Assignment Problems Using Generalized Quadrilateral Fuzzy Numbemethod is introduced to find an optimal solution of an Assignment Problem using a new ranking function. An illustration is provided to strengthen the proposed method. The decision makers can easily comprehend this method and it also enables an easier platform for real time applications.
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Analysis of a Dengue Model with Climate Factors,s divided into two parts: (1) Susceptible human at high risk, (2) Susceptible human at low risk. Biologically, feasible equilibria and their stability properties have been discussed. On the basis of these results, we concluded that change in climate is one of the greatest reasons for dengue transmission.
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