Blind Deblurring Based on Sigmoid Function [PDF]
Sensors, 2021 Blind image deblurring, also known as blind image deconvolution, is a long-standing challenge in the field of image processing and low-level vision. To restore a clear version of a severely degraded image, this paper proposes a blind deblurring algorithm
Shuhan Sun +3 more
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Image Enhancement and Features Extraction of Electron Microscopic Images Using Sigmoid Function and 2D-DCT [PDF]
IEEE Access, 2022 An innovative image enhancement and feature extraction technique that is based on the modified sigmoid function and two-dimensional DCT has been developed. The proposed technique uses a modified sigmoid function that accommodates the original microscopic
Vivek Arya +4 more
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Some applications of Sigmoid functions [PDF]
Iranian Journal of Numerical Analysis and Optimization, 2021 In numerical analysis, the process of fitting a function via given data is called interpolation. Interpolation has many applications in engineering and science.
M. A. Jafari, A. Aminataei
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Sigmoid functions in reliability based management
Periodica Polytechnica Social and Management Sciences, 2007 This paper introduces the theoretical background of a few possible applications of the so-called sigmoid-type functions in manufacturing and service management. An extended concept of reliability, derived from fuzzy theory, is discussed here to illustrate how reliability based management decisions can be made consistent, when handling of weakly defined
Tamás Jónás
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Sharp Coefficient Problems of Functions with Bounded Turnings Subordinated by Sigmoid Function
Mathematics, 2022 This study deals with analytic functions with bounded turnings, defined in the disk Od=z ...
Muhammad Arif +5 more
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Radius Constants of Sigmoid Starlike Functions
, 2022 In the present investigation, we study the class of Sigmoid starlike functions, given by $\mathcal{S}^*_{SG}=\{f\in\mathcal{A}: {zf'(z)}/{f(z)}\prec 2/(1+e^{-z})\}$ in context of estimating the sharp radius constants associated with several known subclasses of starlike functions.
Priyanka Goel, S. Sivaprasad Kumar
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Contrast Enhancement Using Sensitivity Model-Based Sigmoid Function
IEEE Access, 2019 For indirect contrast enhancement, researchers have proposed various transformation functions based on histogram equalization and gamma correction.
Seung Park, Yong-Goo Shin, Sung-Jea Ko
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Grating Lobe Suppression of Non-Uniform Arrays Based on Position Gradient and Sigmoid Function
IEEE Access, 2019 A super-multivariate optimization algorithm is proposed to suppress the grating lobes (GLs) of non-uniform arrays. For position-only variable cases of any huge array, it is always difficult to deal with by using clustering algorithm because of thousands ...
Xiaomin Xu +3 more
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On the Determinants for a Class of Analytic Function Using Sigmoid Beta-Catas Operator
Journal of Function SpacesGeometric function theory (GFT) is the study of geometric properties of analytic functions. The cornerstone of GFT is the theory of univalent functions.
Olubunmi A. Fadipe-Joseph +3 more
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Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning [PDF]
Neural Networks, 2017 Stefan Elfwing, Eiji Uchibe, Kenji Doya
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