Those "smart grids" should be designed and managed by model based methods, which are elaborated within these projects.
Four typical SPSA based methods, which are one-measurement SPSA (1SPSA), two-measurement SPSA (2SPSA), Global SPSA (GSPSA) and Adaptive SPSA (ASPSA) are examined.
Thus, the aim of this work was to take a step forward by developing liquid-chromatography tandem mass spectrometry (LC-MS/MS) based methods which are capable of determining the concentrations of stanozolol and 3′-hydroxystanozolol in pigmented hair, urine and blood serum samples of stanozolol-treated rats.
When assaying genomic targets, it is very useful to have fluorescence based methods, which are not dependent merely on relative strength of emission intensities, but which also encompass rates and direction of change of emissions over time.
An alternative approach is machine learning based methods, which are based on binary classification (prediction) and treat cases as positives and controls as negatives in SNP data.
K-spectrum based methods, which are the most popular of the three, classify a k-mer as trusted or untrusted depending on whether the number of occurrences in the input reads exceeds a given threshold.
We apply the method proposed in this paper to both synthetic and real data, and compare the results with that of the median filter based method, which is widely used in engineering practice.
This optimization based method which is a user friendly and efficient classifier may allow the clinicians to diagnose and follow progression of certain cancer types.
Here, we present a machine learning based method which is able to discover and distinguish true from false indel candidates in order to reduce the false positive rate.
The bat algorithm is a swarm intelligence based method which was inspired by the echolocation behaviour of bats.
