Search Results for "malware-samples"

We provided a normal method to fit 2/3D open or closed curves. With fitting results, we can make morphometric analyses of some samples. If you have any questions, please contact Shengmin Zhou(email: 2495077522@qq.com or 220180304@seu.edu.cn). If you want to download this project and use it, please cite the paper: Zhou, S., Li, B. & Nie, H. Parametric fitting and morphometric analysis of 3D open curves based on discrete cosine transform. Zoomorphology (2021). https://doi.org/10.1007/s00435-021-00520-w

...For comparison purposes, non-SSMD-based methods such as percent activity, z-score, and t-test are also provided as scoring options. Version 2.1 released: several bugs fixed. Version 3.0 released for Windows and Mac: experiment-wise analysis option, map to all samples option (no hit cut-off needed), percent activity for replicates option and .ai output format are added

MaTMSi is a Matlab library that can be used to connect to TMSi biosignal measurement devices such as PORTIs. Measuremed samples can then be directly retrieved as Matlab data. Real-time measurements can be performed. MaTMSi was developed in IRCCyN research laboratory (http://www.irccyn.ec-nantes.fr/), within the LUNAM university, France. Requirements and installation : see instructions on MaTMSi's webpage (http://www.irccyn.ec-nantes.fr/spip.php?

<Temporarily Unavailable Online> This project is aiming at completing a library of open codes (mainly based on MATLAB at present) to deal with Dipoles-Cavity Interaction problems. Common methods, including Green's function method and Master Equation method et al, will be applied to the coding. Samples of calculations and standard comparison with publications using the library will be given for demonstration of the usage. Interface to some commonly used software, such as Lumerical FDTD Solutions, will also be developed in the project. This project is titled under nanophotonics, quantum optics, nano-optics, computational physics and physics.

Bayesian Surprise Matlab toolkit is a basic toolkit for computing Bayesian surprise values given a large set of input samples. It is also useful as way of exploring surprise theory. For more information see also: http://ilab.usc.edu/

OncoSNP is a computational method for the identification of copy number alterations and loss-of-heterozygosity in heterogeneous tumour samples from Illumina SNP genotyping data.