Feature extraction is a very important preprocessing step for classification of hyperspectral images. The linear discriminant analysis (LDA) method fails to work in small sample size situations. Moreover, LDA has a poor efficiency for non-Gaussian data. LDA is optimized by a global criterion. Thus, it is not sufficiently flexible to cope with the multi-modal distributed data. In this work, we p...

Extraction of lactic acid by emulsion liquid membrane technology (ELM) using n-trioctyl amine (TOA) in n-heptane as carrier within the organic membrane along with sodium carbonate as acceptor phase was optimized by using response surface methodology (RSM). A three level Box-Behnken design was employed for experimental design, analysis of the results and to depict the combined effect of five ind...

Feature extraction is a main step in all perceptual image hashing schemes in which robust features will led to better results in perceptual robustness. Simplicity, discriminative power, computational efficiency and robustness to illumination changes are counted as distinguished properties of Local Binary Pattern features. In this paper, we investigate the use of local binary patterns for percep...

(2009), Constraints on the utility of MnO 2 cartridge method for the extraction of radionuclides: A case study using 234 Th, Geochem. [1] Large volume (10 2 –10 3 L) seawater samples are routinely processed to investigate the partitioning of particle reactive radionuclides and Ra between solution and size-fractionated suspended particulate matter. One of the most frequently used methods to prec...

The extraction of intact RNA from oocyte is quite challenging and time-consuming. A standard protocol using commercial RNA extraction kit, yields a low quantity of RNA in oocytes. In the past, several attempts in getting RNA for gene expression study ended up with a few different modified methods. Extraction of high-quality RNA from oocyte is important before further downstream analyses such as...