Roy's repositories
Happy-Birthday-Melody
Using Arduino Uno a speaker and bunch of leds & jumper wires you can create a nice birthday gift.
QML
Quantum Machine Learning - Codes for the paper graphs
paramiko
The leading native Python SSHv2 protocol library.
Mix-4-independent-FIR-BPFs
A design of 4 FIR Band pass filters
AES-C
Implementing AES using C
QuantumFullAdder
Implementing Full Adder using QISKIT and IBMQ infrastructure for computation
Goertzel-Algorithm
An efficient way to implement FFT using Arduino
Brute-Force-Attack-4digit-password
Demonstration of brute force attack on a pdf file protected with a 4-digit password. Scripting was made with Python
Engine-Speed-Control
The device detects the difference between the given engine speed and the speed desired by the user.
Automatic-Recognition-of-Vehicle-Number-Plates
In many places today, we are required to recognize license plates of various vehicles for a variety of reasons.
LDR
How to control LEDS with LDR sensor.
Hashing-a-Python-object-using-hash-function
Hashing a Python object using hash function
Echo_Server_Client
Socket programming using python
boilerplate-infosec
A boilerplate for the freeCodeCamp curriculum.
course-material-AWS-SAA-03
Course Material for in28minutes courses on Java, Spring Boot, DevOps, AWS, Google Cloud, and Azure.
Color-Detection
Final B.Sc. Project, Color detection device using Image processing
Detection-of-Pneumonia-from-X-ray-images
Pneumonia is an infectious disease of the lungs that mainly affects the pulmonary vasculature and causes the oxygen not to pass into the blood. Symptoms usually include a combination of cough, chest pain, high fever and difficulty breathing. Pneumonia is most often caused by a bacterial or viral infection and sometimes by autoimmune diseases. Diagnosis of inflammation is based on performing an X-ray of the chest and blood tests. During this period of the corona virus (Covid-19) whose patients are in a higher risk group to develop pneumonia the importance of accuracy and decoding time of the test increases. In light of this period there is a high increase in patients and therefore a quick and accurate solution is needed to decipher the X-rays. This project presents a solution for deciphering photographs using Deep Learning technology. This solution brings results almost in real time and with an accuracy of over 90% and thus will be used to reduce the load of radiologists who decode a lot of photographs of patients. The mechanism will "learn" from a pre-existing X-ray database of healthy and sick people (the training set), using the CNN (Convolutional Neural Network) algorithm we "taught". He will know how to classify new x-rays that he has never encountered (test set) and determine if there is a presence of pneumonia in the photo.
Matlab-based-Photoshop
MATLAB based program (GUI included)
RT-Instant-Signal-Recognizer
Signal recognition using Arduino's and basic electronic components using the principles of Real time DSP
AMS-Differential-DC-Voltmeter
Arduino based Automatic Measurement System that can measure voltage and current in the ranges: {-500mV... +500mV}, {-5V... +5V} (changeable)
VHDL_Project
System that takes (synchronic - serial) data blocks and computes statistics - minimum,maximum,average,median and number of errors in communication for each data block
Analog-TV-Test-image
Calibration of TV test image using Image processing
Process-set-of-Gray-Images
LUT & min-max algorithm