My Matlab Ph.D. thesis coding project: the enhanced version of Tree-like Divide to Simplify (T-DTS) ANN (AI/ML) structure-based tool used for classification tasks. The credits: the v.1.0 was developed by Dr. M. Rybnik under supervision of Prof. K. Madani

Deriving saltwater concentrations from the values of light intensity is a long-established image processing practice in laboratory scale investigations of saline intrusion.

Coursera Machine Learning Course (AndrewNg)

YOLOv4-coco in Matlab for Image Recognition, using WebCam.

Practical activity #5, Artificial Intelligence, in Computer Engineering graduation.

Devanagari Numerals Detection using ANN

Learning the Relationship between the Primary Structure of HIV Envelope Glycoproteins and Neutralization Activity of Particular Antibodies by Using Artificial Neural Networks

TriFilterNet processes electrophysiological recordings to identify pre-grooming events using triangular filters and a minimal neural network. It reduces the feature set and classifies behavioral states based on decorrelated coefficients.

MATLAB Project

Just another BP simulation.

The air quality surrogate model for ozone concentration

Train a decision tree, a support vector machine model and an artificial neural network to predict the status of nuclear reactors

This repository comprises as all the Programming Assignments completed by me as the part of Coursera's Machine Learning Course. It is esspecially created to provide the Reference to the fellows getting stuck while accomplishing these assignments.

Repositório dos projetos realizados na cadeira de RNA (Redes Neurais Artificiais) 2018.1

This repository contains all the sources produced during Applied Computational Intelligence's class of 2016.2

Code to find minimums in a given function via descending gradient

A machine learning algorithm to classify the Iris Plants

This repo was created to share the source code for the initial paper about automatic identification of interlanguage transfer phenomena between Brazilian Portuguese and American English using machine learning techniques.

Repository with data and code for the prediction of RAP DoA using Compaction Temperature, Air voids and ITS with machine learning techniques