Results 21 to 30 of about 177,235 (109)
Mathematics, 2022 Approximation of piecewise linear and generalized functions is an important and difficult problem. These functions are widely used in mathematical modeling of various processes and systems, such as: automatic control theory, electrical engineering, radio
Sergei Aliukov +2 more
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Microorganisms, 2020 Plant growth-promoting rhizobacteria represent a promising solution to enhancing agricultural productivity. Here, we screened phosphate solubilizing bacteria from the rhizospheric soil of Chenopodium quinoa Willd and assessed their plant-growth promoting
Ismail Mahdi +4 more
semanticscholar +1 more source
Local Lagrange Exponential Stability Analysis of Quaternion-Valued Neural Networks with Time Delays
Mathematics, 2022 This study on the local stability of quaternion-valued neural networks is of great significance to the application of associative memory and pattern recognition.
Wenjun Dong +4 more
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Mathematics, 2022 Demand forecasting plays a crucial role in a company’s operating costs. Excessive inventory can increase costs and unnecessary waste can be reduced if managers plan for uncertain future demand and determine the most favorable decisions.
Chien-Chih Wang +2 more
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Mathematics, 2022 In this work, a mathematical model to describe drug delivery from polymer coatings on implants is proposed. Release predictability is useful for development and understanding of drug release mechanisms from controlled delivery systems. The proposed model
Rosaura Hernandez-Montelongo +3 more
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Mathematics, 2022 In this study, taking the Sheng’an coal mine as an engineering background, the failure characteristics of the surrounding rock of a roadway under repeated mining in a close-distance coal seam is comprehensively illustrated through field measurements (e.g.
Yuqi Shang +5 more
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Metals, 2020 This work aims to investigate the effect of the process parameters on the densification and microstructure of Inconel 939 (IN939) alloy processed by laser powder bed fusion (LPBF).
G. Marchese +7 more
semanticscholar +1 more source
Scientific Reports, 2021 An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Nuha Almasoud +8 more
semanticscholar +1 more source
Image Steganalysis via Diverse Filters and Squeeze-and-Excitation Convolutional Neural Network
Mathematics, 2021 Steganalysis is a method to detect whether the objects contain secret messages. With the popularity of deep learning, using convolutional neural networks (CNNs), steganalytic schemes have become the chief method of combating steganography in recent years.
Feng Liu +4 more
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Mathematics, 2021 In this paper, we propose a family of indistinguishability operators, that we have called Yager Possibilitic Response Functions (YPRFs for short), as an appropriate tool for allocating tasks to a collective of agents. In order to select the best agent to
Maria-del-Mar Bibiloni-Femenias +3 more
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