SRSM is one of the ideal conventional sampling based method for uncertainty analysis and this is accomplished by approximating both inputs and outputs of the uncertain system through stochastic series of well-behaved standard random variable (srv).
Recently, a new computer based method for the analysis of reinforced soil walls which takes into account the interaction between the facing and the soil reinforcement layers was presented [Klar A and Sas T. Rational approach for the analysis of segmental reinforced soil walls based on kinematic constraints. Geotextiles and Geomembranes 2009;27 332-340].
In this paper, we propose a novel iterative gradient based method for survival analysis with group L p penalized global AUC summary maximization.
This paper presents Haar wavelet based method of analysis for observer design in the generalized state space or singular system of transistor circuits.
The new LMI based method for robust stability analysis for linear uncertain system with PID controller is proposed.
TANGO [48], a resampling based method for pathway enrichment analysis (see Methods), did not find any pathways with p-value smaller than 0.48, see Table S2 for annotations with less significant p-values (DNA Replication was found in all signatures, but with a p-value higher than 0.8).
In this study, a new image analysis based method for assessing nanofibers diameters was successfully developed.
In this paper, a new image analysis based method for electrospun nanofiber diameter measurement has been presented.
Reference [14] used particle swarm optimization (PSO) to calculate optimal power flow (OPF) while [15] proposed a Monte-Carlo (MC) based method for probabilistic power flow (PPF) analysis.
In this work, a harmonic analysis based method for linearity assessment and noise quantification in EIS measurements is presented, and validated both from an experimental point of view and from a theoretical point of view, for Tafelian systems.
We present a novel image-analysis based method for automatically distinguishing low, intermediate, and high grades of breast cancer in digitized histopathology.
