Results 91 to 100 of about 239,904 (190)
Solitary and soliton solutions of the nonlinear fractional Chen Lee Liu model with beta derivative
The nonlinear Chen-Lee-Liu (NCLL) model is a crucial mathematical model for assessing optical fiber communication systems. It incorporates various factors, including noise, dispersion, and nonlinearity, which can influence signal quality and data ...
Akhtar Hussain +5 more
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Extraction of optical wave structures to the coupled fractional system in magneto-optic waveguides
In this article, truncated M-fractional coupled nonlinear Schrodinger equation (NLSE) with quadratic–cubic nonlinearity is under observation. The studied model is composed of chromatic dispersion, magneto-optic parameter and inter-modal dispersion.
Jan Muhammad +5 more
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The adoption of environmentally safer oils, such as TDAE (Treated Distillate Aromatic Extract), in rubbers has traditionally been approached with caution due to concerns over potential deterioration in filler dispersion and adverse impacts on mechanical ...
Iman Abbasi Shahdehi +2 more
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Sub pico-second pulses in mono-mode optical fibers with Triki-Biswas model
This study explores the Triki-Biswas (TB) model, a novel model describing soliton dynamics in monomodal optical fibers with non-Kerr dispersion, to obtain optical solitons.
Akhtar Hussain +5 more
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In this paper, we consider the nonlinear Schrödinger equation (NLSE) with nonlocal nonlinearity having nonlinear chromatic dispersion and Kudryashov’s generalized quintuple-power.
Wafaa B. Rabie +3 more
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A Note on NPML Estimation for Exponential Family Regression Models with Unspecified Dispersion Parameter [PDF]
Nonparametric maximum likelihood (NPML) estimation for exponential families with unspecified dispersion parameter ? suffers from computational instability, which can lead to highly fluctuating EM trajectories and suboptimal solutions, in particular when ? is allowed to vary over mixture components. In this paper, a damped version of the EM algorithm is
Einbeck, J., Hinde, J.
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New Exponential Dispersion Models for Count Data ????????? a Review and Applications
This chapter describes a methodology of constructing probability distributions on the nonnegative integers (aka counting distributions). Counting distributions have historic roots as they have been studied since the beginning of Probability Theory. The reason is their statistical importance and applicability in almost all societal and scientific areas.
Shaul K. Bar-Lev, Ad Ridder
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The Influence of Roughness on the UCS of Discontinuous Jointed Rocks
Joint roughness and size effect are key factors controlling the uniaxial compressive strength (UCS) of discontinuous jointed rock masses. However, there is currently a lack of a unified quantitative model that can simultaneously characterize the ...
Wenxu Liang +3 more
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Some discrete exponential dispersion models : poisson-tweedie and hinde-demétrio classes
In this paper we investigate two classes of exponential dispersion models (EDMs) for overdispersed count data with respect to the Poisson distribution. The first is a class of Poisson mixture with positive Tweedie mixing distributions. As an approximation (in terms of unit variance function) of the first, the second is a new class of EDMs characterized
Kokonendji, Célestin C. +2 more
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Linear stability and dispersive soliton propagation in nonlinear media subject to parabolic phase modulation. [PDF]
Morgan M, Ahmed HM, Sayed M, Soliman M.
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