Results 21 to 30 of about 59,179 (232)

Computing distances and geodesics between manifold-valued curves in the SRV framework [PDF]

open access: yes, 2016
This paper focuses on the study of open curves in a Riemannian manifold M, and proposes a reparametrization invariant metric on the space of such paths. We use the square root velocity function (SRVF) introduced by Srivastava et al.
Brigant, Alice Le
core   +2 more sources

Hyperbolic tangent function‐based least mean‐square control algorithm for distribution static compensator

open access: yesIET Generation, Transmission & Distribution, 2014
A variable learning rate least mean‐square (LMS) based on hyperbolic tangent function is used to enhance the rate of convergence and to suppress the existing noise in the system for the control of distribution static compensator (DSTATCOM) consisting of a three‐leg voltage source converter (VSC) with a zig‐zag transformer to eliminate the significant ...
Bhim Singh   +2 more
openaire   +1 more source

Modeling of Changes in Physicochemical, Textural and Sensory Properties of Fortified Yoghurt with Zinc and Iron by Artificial Neural Networks [PDF]

open access: yesPizhūhish va Nuāvarī dar ̒Ulūm va Sanāyi̒-i Ghaz̠āyī, 2017
In this study, yogurt was fortified with iron and zinc in equal concentrations, 20, 40 and 60 mg per 1 kg of milk and the samples were tested in 1, 7 and 14 days of storage in terms of different properties of product including physicochemical properties (
Mahmod Hosseinnejad   +2 more
doaj   +3 more sources

Eight-Scale Image Contrast Enhancement Based on Adaptive Inverse Hyperbolic Tangent Algorithm

open access: yesAlgorithms, 2014
The Eight-Scale parameter adjustment is a natural extension of Adaptive Inverse Hyperbolic Tangent (AIHT) algorithm. It has long been known that the Human Vision System (HVS) heavily depends on detail and edge in the understanding and perception of ...
Cheng-Yi Yu   +3 more
doaj   +1 more source

Comparison of Principal-Component-Analysis-Based Extreme Learning Machine Models for Boiler Output Forecasting

open access: yesApplied Sciences, 2022
In this paper, a combined approach of Principal Component Analysis (PCA)-based Extreme Learning Machine (ELM) for boiler output forecasting in a thermal power plant is presented.
K. K. Deepika   +6 more
doaj   +1 more source

A reliable analytic technique for the modified prototypical Kelvin–Voigt viscoelastic fluid model by means of the hyperbolic tangent function

open access: yesPartial Differential Equations in Applied Mathematics, 2023
Inspired by the extensive applicability of solitons in nonlinear optics, advanced telecommunication industry, trans-continental, and trans-oceanic systems, coupled with the copious functionality of viscoelastic models in highway engineering pavement theory, civil engineering, and solid mechanics, unique closed-form solutions have been obtained for a ...
openaire   +2 more sources

Affine sphere relativity [PDF]

open access: yes, 2016
We investigate spacetimes whose light cones could be anisotropic. We prove the equivalence of the structures: (a) Lorentz-Finsler manifold for which the mean Cartan torsion vanishes, (b) Lorentz-Finsler manifold for which the indicatrix (observer space ...
Minguzzi, E.
core   +2 more sources

Min-Sum Soft Symbol Estimation for Iterative MMSE Detection

open access: yesIEEE Access, 2020
Soft symbol estimation (SSE) is the first process in soft interference cancellation minimum mean squared error (SIC-MMSE) detection for multiple-input multiple-output (MIMO) systems.
Satya Chan, Sooyoung Kim
doaj   +1 more source

Static and dynamic characteristics of turbulent flow in a closed compound channel

open access: yesRevista Facultad de Ingeniería Universidad de Antioquia, 2013
The hot-wire anemometry technique was employed to study the velocity distribution and dynamic characteristics of the flow in two types of closed compound channels.
Jhon N. V. Goulart   +2 more
doaj   +1 more source

Sparse Reconstruction Using Hyperbolic Tangent as Smooth l1-Norm Approximation

open access: yesComputation, 2023
In the Compressed Sensing (CS) framework, the underdetermined system of linear equation (USLE) can have infinitely many possible solutions. However, we intend to find the sparsest possible solution, which is l0-norm minimization.
Hassaan Haider   +3 more
doaj   +1 more source

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