Francesco Argentieri (@frank1789)
github

frank1789

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  • Stars
    star
    11
  • Global Rank 917,004 (Top 32 %)
  • Followers 3
  • Following 1
  • Registered over 8 years ago
  • Most used languages
    TeX
         50.0 %
    C++
         16.7 %
    C
         16.7 %
    Python
         16.7 %
  • Location 🇮🇹 Italy
  • Country Total Rank 6,981
  • Country Ranking
    TeX
         194
    C
         1,386
    C++
         2,417
    Python
         3,137

Top repositories

1

NeuralNetworks

Intent of this project is the rapid development of a neural network for image classification. Thanks to the use of framework like Keras this is possible by moving the first steps using refinement techniques starting from known models. There is discussion of the architecture of a USB commercial device, Intel Movidius neural compute stick, with low power consumption for neural network execution on SoC systems such as Raspberry. Finally, there are the problems and limitations that occurred during the development and distribution of the software implemented.
Python
3
star
2

Flir-Lepton

Qt-based project allows the interface between the Flir Lepton 2.5 camera and Raspicam to be part of my thesis project for the Master's Degree in Mechatronics, by title Enanching UAV capabilities with machine learning on board.
C
2
star
3

FEM-Analysis---Helicopter-s-Tail

The purpose is to present a consistent finite-element formulation, developed to predict the free vibration characteristics of two different helicopters tailboom structures
TeX
2
star
4

Report-MechanicalDesignMachineElements

This is a report for homework during the course "Mechanical Design and Machine Elements" develop FEM analys
TeX
1
star
5

AnsysHomerwork

Exercise develop during the course "Mechanical design and machine elements"
1
star
6

MechanicalVibrationProject

Project final exam for "Mechanical Vibration"
TeX
1
star
7

QtSocket

Qt-based project allows the interface between main program on Raspberry Pi. Part of my thesis project for the Master's Degree in Mechatronics, by title Enanching UAV capabilities with machine learning on board.
C++
1
star