Furkan Yardımcı's Projects
A project that sorting a stack with the quick sort, wheel algorithm and empty stack.
The Brain-tumor-classification project is a machine learning project that aims to classify magnetic resonance images (MRI) of the brain into different categories based on the presence of a tumor.
Breast cancer predict system with Logistic regression
A project on communicating 3MSP430G2553s with HC-05 bluetooth module.
The Ecole-42-minishell project is a simple UNIX command interpreter, or "shell". The goal of this project is to implement a command-line interface that allows users to enter and execute commands and/or programs. The shell is able to prompt the user for input, read the input, parse it, and execute the commands and/or programs.
Uncomplicated version of the printf in c.
A function that writes data from any stream to stdout up to the \n character on every call, regardless of how many characters are read at once.
A project that provides communication between client and server using linux user defined signals
Config files for my GitHub profile.
This project aims to classify hyperspectral images accurately using SVM (Support Vector Machines)
HyperSpectral image classifier
The project includes data preparation techniques, U-Net model implementation, and processes for training and validation. It's a useful resource for anyone looking to delve into the field of medical image segmentation, specifically focused on liver and tumor segmentation.
I will post examples and explanations about basics of machine learnings.
Detection of lung cancer from dicom scans by pytorch.
This project is an embedded system project that can measure the distance between desired device and the main circuit.
This project is a digital design project that implements a simple programmable stepper motor controller using the Verilog hardware description language (HDL) and the Basys 3 FPGA development board. The project is designed to be an educational resource for students and hobbyists interested in learning about digital design and FPGA programming.
This project is a hardware and software project that provides an interface between 16x2 LCD screen and a PYNQ-Z2 development board. You can use the project both arduino and PYNQ-Z2.
It is a project on two analog sensor measurement with msp430 and wifi module and Transfer of data via wifi module to Thingspeak.
This project is made for learning and get used to the details of classifications models. In short its made for fun.