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The original Direct Position Determination (DPD) methods, with combined Time Difference of Arrival (TDOA) and Frequency Difference of Arrival (FDOA), do not perform well under low Signal-to-Noise Ratio (SNR), and worse still, the computation cost is difficult to accept when the computational capabilities are limited.
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In this paper, a method with combined charging/discharging behaviors of EVs with respect to the uncertainties of initial battery SOC and travel pattern is proposed.
In the present work, a continuation method with combined restrictions is proposed to provide the full system response in the presence of both geometric nonlinearities and material elasto-plastic softening.
This was tested with neurobiological methods (brain-scan methods combined with psychological tests with patients suffering from various brain disorders) in Clark and Grossman (2007).
The drug disposition data analysis was performed per individual by a non-compartmental method with a combined linear/log – linear trapezoidal rule approach.
These methods are deterministic rather than statistical, although ODE methods can be combined with statistical methods.
All of these reported methods were combined with one-pot synthesis.
For the last three columns, methods were combined with each other.
Probabilistic methods were combined with the finite element program Plaxis 2D to calculate mean and variance.
This led to biochemical methods being combined with molecular genetic techniques and analytical chemistry.
For this purpose, tree search methods were combined with a neural network.
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