kssr1345 Goto Github PK

algorithms

It is repository for seeking into presenting my ideas and also a discussion on several famous algorithms.

array-manipulation-problems

Array manipulation problems and their discussion

coursera

Data sets and scripts for Coursera Big Data Specialization.

coursera-test-repo

This my coursera assignmnet for the course html,css and javascript for front end development

coursera_test_folder

Assignment -> week 1 -> Introduction to Embedded Systems Software and Development Environments

css-course-content

Project files and content for the CSS 'Zero to Hero' course.

cu-test-repo

fabric-defect-detection-line

This is a small project that helps to identify and isolate defects in the clothes

farmplotter

The following is a Matlab script that uses image processing to determine the number of farm plots in an image and print their area in pixels

heart-disease-prediction

The project involves training a machine learning model (K Neighbors Classifier) to predict whether someone is suffering from a heart disease with 87% accuracy.

hybrid-quantum-classical-neural-networks-for-diabetic-retinopathy

infytq-pf

matlab-image-processing

Some code i wanted to share

quantum-transfer-learning

A transfer learning approach applied to hybrid neural networks composed of classical and quantum elements.

qunatum-tranfer-learning-for-diabetic-rethinpathy

India is on track to become the world’s diabetes capital thus demanding accurate diagnosis of Diabetic retinopathy from optical coherence tomography (OCT) retinal images. Accurate and faster diagnosis is difficult as it depends on quality of image, operator handling and also the growing number of patients. In this paper we propose the use of quantum transfer learning model to accomplish diagnosis of Diabetic Retinopathy. Quantum Transfer Learning (QTL), is a hybrid combination of classical transfer learning and quantum computing. Unlike classical computers, quantum computers provide faster computation and better accuracy. The concept of QTL is mainly used where the dataset size is limited. The QTL model, diagnostically significant image features are extracted with Resnet18 Convolutional Neural NEtwork (CNN) model, which is reduced to 4-bit feature vector to be encoded as qubit and is finally classified by utilizing Variational Quantum Circuit (VQC). The proposed model gave a better accuracy than existing state of the art methods in terms of high accuracy despite with a smaller set of images in the training phase.

surfing-website

A small website for adventure booking lovers

verilog_repo

washing-machine-models

This is a model of washing machine as pat of my embedded system internship. I have completed the project on pic16f877a microconntroller

web-news

It's just a practice website

wirelesscomm

Teaching material for wireless communications