Results 21 to 30 of about 10,610,136 (340)
IEEE AccessOutdoor computer vision systems face significant challenges due to reduced visibility and severe color distortion in the images captured in sand-dust-affected environments. This study aims to improve the visibility of sand-dust-degraded images.
Muhammad Khawaja Kashif Masood +2 more
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Fractal and FractionalResonant DC-DC converters are a class of strongly nonlinear systems with rich nonlinear phenomena. In order to describe the dynamic behavior of resonant DC-DC converters more accurately, the nonlinear dynamic behavior of fractional order (FO) resonant DC-
Lingling Xie, Guangwei Xu
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Optimal sigmoid function models for analysis of transspinal evoked potential recruitment curves recorded from different muscles. [PDF]
PLoS OneSkiadopoulos A, Knikou M.
europepmc +2 more sources
The Proposition of Three Approaching Ways to Implement Tan-sigmoid Activation Function in FPGA [PDF]
Engineering and Technology Journal, 2022 Hyperbolic tangents and Sigmoid are commonly used for Artificial Neural Networks as activation functions. The complex equation of the activation function is one of the most difficult to be implemented in hardware because containing division and ...
Manal Ali, Bassam Abed
doaj +1 more source
A cross-country analysis of feasible income equality using the sigmoid function and the Boltzmann distribution. [PDF]
PLoS OneSitthiyot T, Holasut K.
europepmc +2 more sources
MRAM-based Analog Sigmoid Function for In-memory Computing [PDF]
ACM Great Lakes Symposium on VLSI, 2022 We propose an analog implementation of the transcendental activation function leveraging two spin-orbit torque magnetoresistive random-access memory (SOT-MRAM) devices and a CMOS inverter.
Md Hasibul Amin +3 more
semanticscholar +1 more source
The generalized sigmoidal quantile function [PDF]
Communications in Statistics - Simulation and Computation, 2022 In this note we introduce a new smooth nonparametric quantile function estimator based on a newly defined generalized expectile function and termed the sigmoidal quantile function estimator. We also introduce a hybrid quantile function estimator, which combines the optimal properties of the classic kernel quantile function estimator with our new ...
openaire +2 more sources
Designing Hyperbolic Tangent Sigmoid Function for Solving the Williamson Nanofluid Model
Fractal and Fractional, 2023 This study shows the design of the novel hyperbolic tangent sigmoid function for the numerical treatment of the Williamson nanofluid model (WNM), which is categorized as velocity, concentration, and temperature.
B. Souayeh, Zulqurnain Sabir
semanticscholar +1 more source
Micromachines, 2021 Computing-In-Memory (CIM), based on non-von Neumann architecture, has lately received significant attention due to its lower overhead in delay and higher energy efficiency in convolutional and fully-connected neural network computing.
Siqiu Xu +5 more
doaj +1 more source
Problems Concerning Coefficients of Symmetric Starlike Functions Connected with the Sigmoid Function
Symmetry, 2023 In numerous geometric and physical applications of complex analysis, estimating the sharp bounds of coefficient-related problems of univalent functions is very important due to the fact that these coefficients describe the core inherent properties of ...
M. I. Faisal +4 more
semanticscholar +1 more source