Name: Airam - PU8ASR / PX8C1730 / PP8004SWL
Type: User
Company: Conferência Amazônica de Radioamadorismo e Rádio do Cidadão
Bio: Directly from the heart of the Amazon forest, in Manaus, researching and contributing to a radio amateur and technological community.
Location: Manaus - Amazonas - Brasil
Blog: http://conferenciaamazonica.wordpress.com
Airam - PU8ASR / PX8C1730 / PP8004SWL's Projects
Script para transformar o Arduino Uno em interface HID
Android sample application, committed from AIDE (IDE for android)
ESP8266 core for Arduino
Árvore Binária (Auto-Balanceada) de Busca
Predicting breast cancer at 97.51% accuracy with Naive Bayes Classifier for learning purposes.
Extract classes.dex from apk and returns base64 MD5 raw encoded
My projects solutions for the course CS188.1x on edX.org
Dump1090 is a simple Mode S decoder for RTLSDR devices
An Arduino library to interface the Avia Semiconductor HX711 24-Bit Analog-to-Digital Converter (ADC) for Weight Scales.
A breakout board for the HX711 load cell weight measuring amplifier
An easy-to-use Arduino ESP8266 library besed on AT firmware.
Naive Bayes implementation with digit recognition sample
A (set of) Python scripts to retrieve tweets (for a given query) and RT one with highest score from Naïve Bayes classifier.
A multilabel Naive Bayes classifier for HTML documents
Implements Naive Bayes algorithm to classify movie reviews as positive or negative.
PacMan Machine Learning Artificial Intelligence Project
Módulo de integração para Magento Versão 2.x
Naive Bayes in Python
Play your station's HD1 and HD2 streams on Android devices
Arduino RFID Library for MFRC522
Very basic implementation of Naive Bayes Classifier in PHP
KNN - Naive Bayes - Decision Tree
A python program to classify the text content as spam or not-spam just like the email classification, Using the Naive bayes classifier the content files are classified. This is part of Machining Learning !!!
Advanced repeater system software with EchoLink support for Linux including a GUI, Qtel - the Qt EchoLink client
Easy installation SVXLINK (Echolink) on Linux systems
Tweet Sentiment Classifier is a program built in Python that uses Data Mining concepts like Naive Bayes Classification to classify the tweets into positive, negative, neutral or mixed sentiments. The input data is the 2012 presidential election (between Obama and Romney) tweets. This training set consists of about 7000 tweets for each Obama and Romney and the test set consists of about 2500 tweets. The program learns from the training set and applies the classification on the test set and generates the Accuracy, Precision, Recall, F-Score and Confusion Matrix.
Virtual Radar Server on Pi devices
VoIP - Client\Server
Create & design a splash screen with animation from Up to Down