Results 11 to 20 of about 5,573 (167)
Soliton solutions to the generalized derivative nonlinear Schrödinger equation under the effect of multiplicative white noise and conformable derivative [PDF]
This study explores novel optical soliton solutions for the generalized derivative nonlinear conformable Schrödinger equation under the influence of multiplicative white noise.
Muhammad Amin S. Murad +6 more
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Machine learning and near-infrared fusion-driven quantitative characterization and detection of protein content in maize kernels [PDF]
This study aims to develop a rapid and non-destructive method for determining protein content in maize using near-infrared spectroscopy (NIRS). To mitigate the effects of surface irregularities and uneven protein distribution in whole kernels on spectral
Yang Yu +5 more
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A Fractional-Order Telegraph Diffusion Model for Restoring Texture Images with Multiplicative Noise
Multiplicative noise removal from texture images poses a significant challenge. Different from the diffusion equation-based filter, we consider the telegraph diffusion equation-based model, which can effectively preserve fine structures and edges for ...
Xiangyu Bai +5 more
doaj +1 more source
Spatial discretization of the stochastic semi-linear subdiffusion equations driven by fractionally integrated multiplicative space-time white noise is considered.
Junmei Wang, James Hoult, Yubin Yan
doaj +1 more source
Multiplicative derivations onC(X)
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Semrl, Peter, Goldmann, H.
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Multiple FGF4 Retrocopies Recently Derived within Canids [PDF]
Two transcribed retrocopies of the fibroblast growth factor 4 (FGF4) gene have previously been described in the domestic dog. An FGF4 retrocopy on chr18 is associated with disproportionate dwarfism, while an FGF4 retrocopy on chr12 is associated with both disproportionate dwarfism and intervertebral disc disease (IVDD).
Kevin Batcher +8 more
openaire +5 more sources
Conics and multiple derivation
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Barwick, S. G., Marshall, D. J.
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Modified Backpropagation Algorithm with Multiplicative Calculus in Neural Networks
Backpropagation is one of the most widely used algorithms for training feedforward deep neural networks. The algorithm requires a differentiable activation function and it performs computations of the gradient proceeding backwards through the feedforward
Serkan Ozbay
doaj +1 more source
In this article, the stochastic fractional Davey-Stewartson equations (SFDSEs) that result from multiplicative Brownian motion in the Stratonovich sense are discussed.
Mohammed Wael W. +2 more
doaj +1 more source
Dataset of adulteration with water in coconut milk using FTIR spectroscopy
This paper presents the spectroscopic dataset, pre-processing, calibration, and predicted model database of Fourier transform infrared (FTIR) spectroscopy used to detect adulterated coconut milk with water.
Agustami Sitorus +3 more
doaj +1 more source

