Md. Aiyub Ali's repositories
Basic-JAVA
To know basic about object-oriented programming language in JAVA.
Temperature-Converter
A temperature converter to convert temperature degrees of Fahrenheit (°F), Celsius (°C) and, Kelvin (K)
COVID-19-Detection
The emergence of Coronavirus Disease 2019 (COVID-19) in early December 2019 has caused immense damage to health and global well-being. Currently, there are approximately five million confirmed cases and the novel virus is still spreading rapidly all over the world. The chest X-ray images along with emerging Artificial Intelligence (AI) methodologies, in particular, Deep Learning (DL) algorithms have recently become a worthy choice for early COVID-19 screening. This work proposes a DL-assisted automated method using X-ray images for the early diagnosis of COVID-19 infection. We evaluate the effectiveness of the pre-trained Convolutional Neural Network (CNN) model. The model has been validated on publicly available chest X-ray images and it is obtained by CNN with an accuracy of 97.26%. This study will be useful for researchers to think about the design of more effective CNN-based models for early COVID-19 detection.
Hotel-Management-System-using-Algorithm
A hotel Management System is an algorithm-based application that allows the hotel manager to handle all hotel activities. The project provides room booking, staff management and other necessary hotel management features
Pneumonia-Detection
About End-to-end deep learning project using TenserFlow
Brain-Tumor-Grading
I extracted the tumor features according to the data annotation of all four stages of 3D MRI data. And I deployed Graph Neural Networks based on important features such as First Order Statistics, Shape-based (3D), Shape-based (2D), GLCM, GLRLM, GLSZN, NGTDM, and GLDM.
Feature-Selection-Strategies
In these works, I'm looking forward to techniques on how we can select the features that will get more our machine learning algorithm accuracy.
Big-data-Lab
This repository serves as a hub for students, researchers, and enthusiasts interested in diving deep into the realm of big data.
IBM-Quantum-Challenge-Spring-2023-Challenge
IBM Quantum Challenge Fall 2023
Koala-Detection
Object detection is a major area of computer vision applications. For the task I utilized a set of images that contain instances of Koala. The goal is to preprocess the images and build a dataset, train an object detection model using the prepared dataset, and develop an API for getting inferences from the model.