Easy to use, GUI based tool to analyze, validate, postprocess, visualize and simulate (micro) PIV data. http://pivlab.blogspot.com/
version 1.0.7L. Ortiz
In this model, a Microgrid test system based on the 14-busbar IEEE distribution system is proposed.
Quickly create publication-quality plots: automatic colors & subplots, stats, violin/box plots, etc.
Simple and ease of implementation. The machine learning algorithms include KNN, SVM, LDA, NB, RF and DT.
2D-AL-DIC(Augmented Lagrangian DIC) is a fast, parallel-computing DIC algorithm which also considers global kinematic compatibility.
Demonstration on how binary grey wolf optimization (BGWO) applied in the feature selection task.
The modal parameters of a line-like structure are automatically identified using an SSI-COV algorithm applied to ambient vibration data
This is the Matlab Code for BGWOPSO
The modal damping ratio of a Single-Degree-of-Freedom (SDOF) System is estimated using ambient vibrations data
DTC Scheme for a Four-Switch Inverter-Fed Induction Motor Emulating the Six-Switch Inverter Operation
aPC Matlab Toolbox constructs the Data-driven Arbitrary Polynomial Chaos Expansion: Uncertainty quantification/Global sensitivity analysis
Feature level fusion using Canonical Correlation Analysis (CCA)
Feature fusion using Discriminant Correlation Analysis (DCA)
EHO and TOPSIS approach for multiobjective/MCDM DER/DG integration in distribution networks
The dynamic displacement response of a line-like structure to an uncorrelated Gaussian white noise input is computed in the time domain.
The binary version of Differential Evolution (DE), named as Binary Differential Evolution (BDE) is applied for feature selection tasks.
Matlab Implementation of the paper "Adaptive Gaussian Notch Filter for Removing Periodic Noise from Digital Images"
The modal parameters of a line-like structure are estimated in the time domain using displacement records only.