Prepared by: Lalit Pandurang Patil, PhD scholar, Plant Pathology, Indian Agricultural Research Institute New Delhi Learning MATLAB from Scratch: A Beginner’s Guide for Zero Coders MATLAB is ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Mass spectrometry imaging (MSI) is constantly improving in spatial resolving power, ...

MATLAB is one of the most widely utilized computational software platforms. The initial version was developed in the late 1970s by Cleve Moler, the chairman of the computer science department at the ...

This page describes examples of how to use the fast Gaussian process latent variable model Software (FGPLVM). This toolbox allows for larger GP-LVM models through using the sparse approximations ...

A growing number of studies apply Principal Component Analysis (PCA) on whole-body kinematic data to facilitate an analysis of posture changes in human movement. An unanswered question is, how much ...

Independent component analysis (ICA) is a multivariate approach that has been widely used in analyzing brain imaging data. In the field of functional near-infrared spectroscopy (fNIRS), its promising ...

Abstract: This study develops a novel data-driven latent variable correlation analysis (LVCA) framework to achieve communication efficient distributed monitoring for industrial plant-wide processes.

Vibrational spectroscopy comprises label-free techniques that allow one to detect electronic changes in the internal vibrational energy levels of biomolecules. Biomolecules that contain chemical bonds ...

A wide range of dimensionality reduction methods exist. Linear methods, such as principal component analysis (PCA), tend to preserve global data structure (e.g., the separation between clusters), but ...

Neurons in higher cortical areas, such as the prefrontal cortex, are often tuned to a variety of sensory and motor variables, and are therefore said to display mixed selectivity. This complexity of ...