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followers: 14.0 following: 3.0 repos: 18.0 gists: 0.0

Name: Jeferson Menegazzo

Type: User

Bio: Senior Software Engineer. Artificial Intelligence Systems Engineer. Machine Learning Engineer.

Location: Florianópolis - Santa Catarina - Brasil

Blog: https://www.linkedin.com/in/jefmenegazzo/

Hello World!

My name is Jeferson Menegazzo. I am a Machine Learning and Artificial Intelligence Engineer, as well as a Senior Software Engineer.

Here I am programming...	And here I am programming too

You can find me on the following social networks:

Help me keep my open-source projects active by contributing sponsorships and donations through the links below.

My Github stats:

Jeferson Menegazzo's Projects

artificial-intelligence-methods-and-techniques

Artificial Intelligence Methods and Techniques Examples in Python (Jupyter Notebooks)

best-models

Best Models of Intelligent Vehicle Perception Based on Inertial Sensing and Artificial Intelligence

intelligent-vehicle-perception-based-on-inertial-sensing-and-artificial-intelligence

Intelligent Vehicle Perception Based on Inertial Sensing and Artificial Intelligence

jeferson-menegazzo-dissertacao-mestrado

jefmenegazzo

mpu-9250-and-gps-raw-data-pre-processing

Pre-processes the raw data sampled through MPU-9250 sensors (accelerometer, gyroscope, magnetometer and temperature) and GPS, adjusting, synchronizing, joining and labeling.

mpu-9250-data-plot-video-creator

This is an application that creates videos with data plotted in graph through the libraries matplotlib and ffmpeg.

mpu-i2c-drivers

I2C Drivers for MPU-9250, MPU-9255, MPU-9150, MPU-6500, MPU-6555, and MPU-6050

mpu-i2c-drivers-c

mpu-i2c-drivers-cpp

mpu-i2c-drivers-csharp

mpu-i2c-drivers-java

mpu-i2c-drivers-javascript

mpu-i2c-drivers-python

I2C Drivers for MPU-9250, MPU-9255, MPU-9150, MPU-6500, MPU-6555, and MPU-6050

road-roughness-condition

Road Roughness Condition Through Inertial Sensors and Deep Learning in a Multi-Contextual Analysis

road-surface-type-classification-1

Road Surface Type Classification Based on Inertial Sensors and Machine Learning: A Comparison Between Classical and Deep Machine Learning Approaches For Multi-Contextual Real-world Scenarios

road-surface-type-classification-2

Multi-Contextual and Multi-Aspect Analysis for Road Surface Type Classification Through Inertial Sensors and Deep Learning

speed-bump-detection

Speed Bump Detection Through Inertial Sensors and Deep Learning in a Multi-Contextual Analysis

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