Functionality Matlab code

These functions facilitate preprocessing, feature extraction, feature selection, classification and regression of temporal signals.

⭐⭐⭐⭐⭐ MATLAB Code

➡️ #Matlab #mat #ClassificationLearner #Classification #RegressionLearner #Regression

These are functions developed in matlab and used in the following applications:

• Classification Application 1: WiFi RSSI Localization, paper: Trilateration-based Indoor Location using Supervised Learning Algorithms.
• Classification Application 2: Brain-Computer Interfaces (BCI) using OpenBCI.
• Classification Application 3: Electrooculography (EOG).
• Regression Application 1: Energy Consumption Prediction, paper: Learning-based Energy Consumption Prediction.
• Regression Application 2, paper: FPGA Based Meteorological Monitoring Station.

We hope that all the functions in this repository will be useful to you in the programming of your Matlab projects.

When using this resource, please cite the original publication:

• Estrada, R., Asanza, V., Torres, D., Bazurto, A., & Valeriano, I. (2022). Learning-based Energy Consumption Prediction. Procedia Computer Science, 203, 272-279, doi: https://doi.org/10.1016/j.procs.2022.07.035
• V. Asanza, R. E. Pico, D. Torres, S. Santillan and J. Cadena, "FPGA Based Meteorological Monitoring Station," 2021 IEEE Sensors Applications Symposium (SAS), 2021, pp. 1-6, doi: 10.1109/SAS51076.2021.9530151.

Classification Learner

Related Work (Classification)

• Paper 1: Trilateration-based Indoor Location using Supervised Learning Algorithms.
• Paper 2: Implementation of a Classification System of EEG Signals Based on FPGA .
• Paper 3: EMG Signal Processing with Clustering Algorithms for motor gesture Tasks .
• https://vasanza.blogspot.com/2020/01/alphabet-letters-recognition-with.html
• https://vasanza.blogspot.com/2020/01/eeg-signal-classification-with-machine.html

Regression Learner

Related Work (Regression)

• Paper 1: Learning-based Energy Consumption Prediction.
• Paper 2: Behavioral Signal Processing with Machine Learning Based on FPGA .
• Paper 3: FPGA Based Meteorological Monitoring Station.
• https://vasanza.blogspot.com/2020/01/epileptic-seizure-prediction-with_72.html

Datasets

• TRILATERATION BASED ON RSSI VALUES IN TRANSMITTERS AND RECEIVERS.
• 2 PHASE ENERGY METER 100A (2PEM-100A).
• WEATHER MONITORING STATION FOR FARMS AND AGRICULTURE .
• SSVEP-EEG DATA COLLECTION USING EMOTIV EPOC .
• DATA SERVER ENERGY CONSUMPTION DTASET .
• TEMPERATURE AND SPEED CONTROL LAB (TSC-LAB) .
• ELECTROMYOGRAPHY (EMG) OF THE EXTRAOCULAR MUSCLES (EOM).

Repository technical specifications

To work better it is recommended:

• The main code in the project folder
• Put dataset in a subfolder called "Data"
• Put these functions in a subfolder called "src"
• Use in main code: addpath(genpath('./src'))%functions folders

About

• Víctor Asanza

Keynote

Clone

• git status
• git clone https://github.com/vasanza/Matlab_Code.git

Switched to Branch

• git branch -a
• git checkout NameBranch

New Branch

• git checkout -b NameBranch

Push

• git pull origin NameBranch
• git status
• git add .
• git status
• git commit -m "message"
• git push origin NameBrach