These methods included Fold Change, difference after transformation, T without (correcting solely for intensity, eq. 3), T-score (correcting for intensity and probe set-specific variability, eq. 4), and Cyber-T, a t-test based method that combines the empirical variance of a replicate set with the local background of intensity-dependent variance[ 15].
In view of the fact that existing POD methods in the model reduction for dynamic simulation of MEMS dealt with only noise-free data, this paper proposes a neural-network-based method that combines robust principal component analysis (PCA) neural network model with Galerkin procedure for dynamic simulation and analysis of non-linear MEMS with noisy data.
This technique also uses a wavelet based fusion method that combines visual and thermal faces images in a robust manner.
This is done applying a simulation based optimization method that combines TRNSYS with GenOpt in an iterative process.
The regionalization of the effective porosity was based on a method that combines both water-table fluctuation and groundwater-budget techniques in the absence of recharge from rainfall.
Its Auto IS software is a suite of tools based on "virtualization," a method that combines all available storage, regardless of vendor, and brings it together in one large repository, manageable via a single console.
The Sound Pressure Level (SPL) distribution of the manifold flow noise is studied based on a theoretical method that combines large eddy simulations with the Ffowcs Williams–Hawkings (FW H) acoustic analogy theory.
This study, therefore, presents a separated perennial snow and glacier inventory (perennial snow-cover on steep slopes, perennial snow-covered ice, clean and debris covered ice) based on a semi-automated method that combines Landsat images and surface slope information in a supervised maximum likelihood classification to map distinct glacier zones, followed by manual post processing.
Existing desktop computer enhancement methods were compared to a new enhancement method, Magnetic Targets and a method that combines CDratio enhancements based on a greater context of the interactions.
Therefore, based on the advantages of boosting algorithm, a hybrid forecasting method that combines boosting algorithm with the ARMA-MS model is proposed to improve the forecast accuracy.
In this work, we propose the method that combines the main advantages of wavelet bases and multilevel augmentation together.
