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COMPARATIVE STUDY ON DEEP NEURAL NETWORK MODELS FOR CROP CLASSIFICATION USING TIME SERIES POLSAR AND OPTICAL DATA
Deep neural networks CNNs LSTMs ConvLSTMs Crop classification
2019/2/28
Crop classification is an important task in many crop monitoring applications. Satellite remote sensing has provided easy, reliable, and fast approaches to crop classification task. In this study, a c...
Fermi-polaron problem: Diagrammatic Monte Carlo method for divergent sign-alternating series
Diagram to monte carlo method Fermi gas particle condensed matter
2014/12/20
We use the diagrammatic Monte Carlo approach to solve the problem of a single spin-down fermion resonantly interacting with a Fermi gas of spin-up particles. Our solution is important for understandin...
Regularization of Diagrammatic Series with Zero Convergence Radius
Expansion macroscopic system graphic technology system model diagram structure
2014/12/19
The divergence of perturbative expansions which occurs for the vast majority of macroscopic systems and follows from Dyson’s collapse argument prevents the direct use of Feynman’s diagrammatic techniq...
Effect of finite terms on the truncation error of Mie series
finite terms truncation error Mie series
2012/2/29
The finite sum of the squares of the Mie coefficients is very useful for addressing problems of classical light scattering. An approximate formula available in the literature, and still in use today, ...
Arbitrary-order Hilbert spectral analysis for time series possessing scaling statistics: a comparison study with detrended fluctuation analysis and wavelet leaders
Arbitrary-order Hilbert spectral analysis time series wavelet leaders
2011/8/5
Abstract: In this paper we present an extended version of Hilbert-Huang transform, namely arbitrary-order Hilbert spectral analysis, to characterize the scale-invariant properties of a time series dir...
Nonparametric model reconstruction for stochastic differential equation from discretely observed time-series data
Nonparametric model reconstruction stochastic differential equation discretely observed time-series data
2011/8/2
Abstract: We develop a scheme for estimating state-dependent drift and diffusion coefficients in a stochastic differential equation from a time-series data. There is no need to have any prior knowledg...
Series representations of the Riemann and Hurwitz zeta functions and series and integral representations of the first Stieltjes constant
Hurwitz zeta function Riemann zeta function Dirichlet L function generalized Bernoulli number
2011/7/26
Series representations of the Riemann and Hurwitz zeta functions and series and integral representations of the first Stieltjes constant.
Expression of generalized Newton iteration method via generalized local fractional Taylor series
Newton iteration method generalized local fractional Taylor series local fractional derivative real line number
2011/7/26
Abstract: In this paper, a generalized Newton iteration method derived from the generalized local fractional Taylor series with the local fractional derivatives is reviewed. Operators on real line num...
Convergence of the Neumann series for the Schrodinger equation and general Volterra equations in Banach spaces
Neumann Convergence the Schrodinger equation
2011/7/26
Abstract: The objective of the article is to treat the Schrodinger equation in parallel with a standard treatment of the heat equation. In the mathematics literature, the heat equation initial value p...
Determining source cumulants in femtoscopy with Gram-Charlier and Edgeworth series
Determining source cumulants femtoscopy Gram-Charlier Edgeworth series
2010/12/27
Lowest-order cumulants provide important information on the shape of the emission source in femtoscopy. For the simple case of noninteracting identical particles, we show how the fourth-order source c...
Determining source cumulants in femtoscopy with Gram-Charlier and Edgeworth series
femtoscopy Edgeworth series correlations interferometry
2011/1/6
Lowest-order cumulants provide important information on the shape of the emission source in femtoscopy. For the simple case of noninteracting identical particles, we show how the fourth-order source c...
A Series Solution to the Luminosity Distance in a Flat LCDM Universe
Cosmological distances Numerical methods
2010/12/21
Cosmological observations indicate that our universe is flat and dark energy (DE)dominated at present. The luminosity distance plays an important role in the investigation of the evolution and structu...
Time Series, Stochastic Processes and Completeness of Quantum Theory
foundations of quantum mechanics statistical and contextual interpretation completeness of quantum theory non standard data analysis and visualization time series analysis stochastic processes quantum fluctuations quantum information Bell inequalities
2010/10/20
Most of physical experiments are usually described as repeated measurements of some random variables. Experimental data registered by on-line computers form time series of outcomes. The
frequencies o...
Computing singularities of perturbation series
Computing singularities perturbation series
2010/10/20
Many properties of current ab initio approaches to the quantum many-body problem, both perturbational or otherwise, are related to the singularity structure of Rayleigh–Schr¨odinger perturbation theor...
Point Processes Modeling of Time Series Exhibiting Power-Law Statistics
point processes 1/fnoise stochastic differentiale quations power-law distributions
2010/4/27
We consider stochastic point processes generating time series exhibiting power laws of spectrum and distribution density (Phys. Rev. E 71, 051105 (2005)) and apply them for modeling the trading activi...