Automatic speech-to-text conversion

Predictive maintenance algorithm developed using digital twin of hydraulic pump modeled in Simscape

Rbeast or BEAST is a Bayesian algorithm to detect changepoints and decompose time series into trend, seasonality, and abrupt changes.

Heart Sound Classification demo as explained in the Machine Learning eBook, but now expanded to demonstrate Wavelet scattering

Develop a traffic monitoring algorithm and analyze traffic data sent to ThingSpeak

fault diagnosis

Design features for machine diagnostics and prognostics

A method to extract periodic impulses from a 1d signal.

Three-state closed-loop CSTR dynamic model with simulation of incipient faults

Separates system orders from single channel of rotating machinery data.

Demo files for predictive maintenance (PdM)

The matlab code of the solution of "FDI Design Competition for Wind Turbines" (winning 1st place)

A metric to measure the ability of a model to predict observed values

Fault detection in a simple process using PCA and Kernel Density Estimation

Toolbox for cluster analysis of data ensembles

AR Filter by YuleWalker method combined with Minimum Entropy Deconvolution for bearing fault diagnos

The matlab code of the solution of “FDI Design Competition for Wind Turbines" (winning 2nd place)

Prognostics based on computational geometry

Applies the selected morphological operators on the signal.

A collection of MATLAB m-files and simulink models for the design of UIO based FDI system.

The demo files for the webinar: "Predictive Maintenance using MATLAB" (in Japanese).

Demo files for a Japanese web seminar "Machine Learning for Sensor Data Analysis"

Explore USGS Landsat8 data hosted by Amazon Web Services

MATLAB Extensible Datastore for H5 / HDF5 timeseries files

Performs a Lomb-Scargle periodogram analysis on unevenly spaced data.

Structural Analysis of Dome Roof Frame (Large scale structure)

An autonomous/regression-based algorithm for analyzing inertial sensor Allan variance data .

Automatic enhancement and identification of geological fault structures

This ZIP-file contains the models that were discussed in the MathWorks webinar entitled "Stateflow D

Unbiased Schemes for Heston and SABR.

Predictive Maintenance Toolbox が提供するサンプルコード「Similarity-Based Remaining Useful Life Estimation」の日本語訳です。

Demo of discriminant diffusion maps analysis (DDMA) on a 3D three-arm spiral data set

A simple transformation method to diminish correlations between correlated variables.

feature models; squared, circled, inclined and grid entropy measurement

Reads RHK's R9's .sm4 data files and converts them to a MATLAB format

Detection Filter Design for distributed intrusion detection using spectral assignment

Distributed Detection Filters for cybersecurity applications

Software that allows the analysis of the measurement of mechanical vibrations in rotating machines.

Adaboost for classification

Read tifs > 4GB, predicting data location from precached offset patterns.

Implementation of the Bootstrap-t procedure to obtain confidence intervals on time-series data

A tool for persisting data associated with the logged in user across sessions of Matlab.

A Matlab toolbox for investigating the application of cluster ensembles to data classification.

MATLAB/Simulink による予知保全ビデオシリーズの「Part 3:予知保全を可能にする特徴量選択」で紹介するデモに使用するサンプルデータを作成するスクリプトです。

Ideal N-PLL for input frequency of 100MHz and output frequency of 75GHz. Another port for contant 10GHz output is provided in the block.

Simple submission to test the submission process and document anything I learn

A graphic version of REA. REA is the most accurate tool to identify and interpret drug combination effects.

MATLAB/Simulink による予知保全ビデオシリーズの「Part 4: 機器の寿命を予測するモデル構築」で紹介するデモの詳細スクリプトです。

Cursor movement prediction by utilization of negative group delay

Indicates software is executing correctly

This toolbox provides some combination methods to fuse an ensemble of classifiers

A simple pairwise comparison of two adjacent pictures

Persistence1D is a class for finding local extrema and their persistence in one-dimensional data.

This method could be implemented for feature selection in classification problems.

Set nominal values for data by specifying a limit

a function to define the coordination of your own subplot axes

Toolbox for log-spectral magnitude MMSE estimators under super-Gaussian densities.

Sparse and possibly normalized representation of a dataset

Update PDF estimation upon receiving new data

A learning set of stream programming functions