Results 61 to 70 of about 31,536,622 (369)

Stochastic Variational Approach to Minimum Uncertainty States [PDF]

open access: yes, 1995
We introduce a new variational characterization of Gaussian diffusion processes as minimum uncertainty states. We then define a variational method constrained by kinematics of diffusions and Schr\"{o}dinger dynamics to seek states of local minimum ...
Illuminati, F., Viola, L.
core   +2 more sources

Infection Models for Pine Wilt Disease on the Basis of Vector Behaviors

open access: yesPopulation Ecology, EarlyView.
Infection models for pine wilt disease without vector density were built to estimate the transmission coefficient of the pathogenic nematode. The models successfully simulated the annual change in the density of infected trees for four pine stands. ABSTRACT Pine wilt disease is caused by the pinewood nematode (Bursaphelenchus xylophilus Steiner et ...
Katsumi Togashi
wiley   +1 more source

Black Box Variational Inference [PDF]

open access: yes, 2013
Variational inference has become a widely used method to approximate posteriors in complex latent variables models. However, deriving a variational inference algorithm generally requires significant model-specific analysis, and these efforts can hinder ...
Blei, David M.   +2 more
core   +2 more sources

Speciation Through the Lens of Population Dynamics: A Theoretical Primer on How Small and Large Populations Diverge

open access: yesPopulation Ecology, EarlyView.
Population size and dynamics fundamentally shape speciation by influencing genetic drift, founder events, and adaptive potential. Small populations may speciate rapidly due to stronger drift, whereas large populations harbor more genetic diversity, which can alter divergence trajectories. We highlight theoretical models that incorporate population size
Ryo Yamaguchi   +3 more
wiley   +1 more source

Fault detection of gearbox by multivariate extended variational mode decomposition-based time–frequency images and incremental RVM algorithm

open access: yesScientific Reports, 2023
A novel detection method based on multivariate extended variational mode decomposition-based time–frequency images and incremental RVM algorithm (MEVMDTFI–IRVM) is presented for fault detection of gearbox.
Siwei Nao, Yan Wang
doaj   +1 more source

Computation of dimensionless propagation parameters of LP11 mode of double clad fibers

open access: yesResults in Optics, 2023
A scalar variational approximation is proposed to calculate the propagation constant and the normalised dispersion parameter of LP11 mode of double clad fibers. Single and two parameter variational approximations have been proposed in this work.
Piusa Pratikshya Pradhan   +3 more
doaj   +1 more source

Variational Approach in Wavelet Framework to Polynomial Approximations of Nonlinear Accelerator Problems [PDF]

open access: yes, 1998
In this paper we present applications of methods from wavelet analysis to polynomial approximations for a number of accelerator physics problems. According to variational approach in the general case we have the solution as a multiresolution (multiscales)
Fedorova, Antonina N.   +2 more
core   +4 more sources

From omics to AI—mapping the pathogenic pathways in type 2 diabetes

open access: yesFEBS Letters, EarlyView.
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan   +2 more
wiley   +1 more source

An Accelerated Homotopy Perturbation Method for Solving Nonlinear Two-Dimensional Volterra-Fredholm Integrodifferential Equations

open access: yesAdvances in Mathematical Physics, 2017
We propose and apply coupling of the variational iteration method (VIM) and homotopy perturbation method (HPM) to solve nonlinear mixed Volterra-Fredholm integrodifferential equations (VFIDE).
F. A. Hendi, M. M. Al-Qarni
doaj   +1 more source

Application of a flat variational modal decomposition algorithm in fault diagnosis of rolling bearings

open access: yesJournal of Low Frequency Noise, Vibration and Active Control, 2020
Fault diagnosis of rolling bearings can effectively prevent sudden accidents and is an important factor for the safe operation of mechanical systems.
Haodong Li   +5 more
doaj   +1 more source

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