Results 91 to 100 of about 58,867 (200)
Probing Proton Strangeness with Time-Like Virtual Compton Scattering
We document that p(gamma,e+e-)p measurements will yield new, important information about the off-shell time-like nucleon form factors, especially in the phi meson region (q^2 = M^2_{phi}) governing the phi N couplings g^{V,T}_{\phi N N}. Calculations for
Cotanch, Stephen R., Williams, Robert A.
core +3 more sources
Continuum theory of vacancy-mediated diffusion
We present and solve a continuum theory of vacancy-mediated diffusion (as evidenced, for example, in the vacancy driven motion of tracers in crystals).
C.A. Scholl +20 more
core +2 more sources
In this study, we offer a dual-decomposition hybrid time series forecasting model that combines improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) and variational mode decomposition (VMD) with gated recurrent unit (GRU)
Aastha M. Sathe +2 more
doaj +1 more source
New 2D-Variational Mode Decomposition-Based Techniques for Seismic Attribute Enhancement
Seismic attributes are widely used to enhance the interpretation of structural, stratigraphic, and lithologic features in subsurface data. Their effectiveness, however, can be limited by noise, resolution constraints, and processing artifacts. This study
Said Gaci, Mohammed Farfour
doaj +1 more source
Variational modal decomposition (VMD) is frequently employed for both signal decomposition and extracting features; however, the decomposition outcome is influenced by the quantity of intrinsic modal functions (IMFs) and the specific parameter values of ...
Haoran Du +3 more
doaj +1 more source
Abstract A conflict between strong PCAC and VMD is pointed out in the decay π o → γγ . A solution of the problem is presented in the weak PCAC framework.
openaire +1 more source
Prediction of significant wave height using a VMD-LSTM-rolling model in the South Sea of China
Accurate prediction of significant wave height is crucial for ocean engineering. Traditional time series prediction models fail to achieve satisfactory results due to the non-stationarity of significant wave height.
Tong Ding +5 more
doaj +1 more source
The emergence of Deep Learning provides an opportunity for traffic flow prediction. However, uncertainty and volatility exhibited by nonlinearity and instability of traffic flow pose challenges to Deep Learning models.
Chuanxiang Ren +4 more
doaj +1 more source
A Hybrid VMD-TPE-TCN Framework for Wind Shear Prediction near an Airport Runway
Wind shear presents a critical challenge to aviation safety, particularly during aircraft takeoff and landing, necessitating precise and timely forecasting to mitigate operational risks. This paper introduces a hybrid Variational Mode Decomposition (VMD)
Afaq Khattak +3 more
doaj +1 more source
Entropy-Driven Adaptive Decomposition and Linear-Complexity Score Attention: An AI-Powered Framework for Crude Oil Financial Market Forecasting. [PDF]
He J, Ma C, Wang S, Zhai Y, Tang Q.
europepmc +1 more source

