Hybrid Classification Model by Using CNN to Detect COVID-19 and Chest Related Problems

The COVID-19 pandemic has created havoc on the lives of many people and their health all over the world. It has been increasing very rapidly, one must find an effective model/method to detect COVID-19 in order to help the Health Care System. Chest X-ray is one of the reliable diagnostic technologies, which helps in the identification of COVID-19. Despite the fact that there are numerous deep learning methodologies for identifying COVID -19, these methodologies are useless if they only detect one type of illness while ignoring the others. This study proposed a Hybrid Classification model based on CNN (Convolutional Neural Network) for more efficient detection of COVID-19 from Chest X-Rays. Using CNN, this study differentiates COVID-19 affected chest X-Ray images from normal chest X-Ray images and eight additional chest disorders (Cardiomegaly, Atelectasis, Infiltration, Effusion, Nodule, Pneumonia, Mass, Pneumothorax). The Hybrid Classification Model contains two classifiers, Classifier-1 and Classifier-2. In Classifier-1, it contains the information about Normal Chest X-rays images and chest X-ray images that have been affected by COVID-19 and whereas in the Classifier-2, it contains the information about other 8 chest diseases. For getting highest accuracy of Classifier-1 and Classifier-2 models, this research work utilizes several models i.e., ResNet50, InceptionResNetV2, VGG16, DensNet121 and Mobile Net. Based on all these models, this research work considers ResNet50 for Classifier-1, and DensNet121 for Classifier-2, Because these two models had given the highest accuracy compared to other models. © 2022 IEEE.

Prediction and Comparative Analysis of Air Pollution in Major cities of India using Deep Learning Techniques

Air pollution has been a widely discussed research topic since the start of the industrial revolution in the 18th century. Today major cities in the world are losing billions of dollars every day due to air pollution. When Covid-19 was labelled as a pandemic and countries were forced to go into lockdown, the entire world came to a standstill and as a consequence of this, air pollution levels fell drastically. Air purity levels were the highest during this period. The analysis of the pollutant level at major cities in India will occur at three stages - during lockdown, pre lockdown and post lockdown and thereafter the prediction of air pollutant levels can be achieved by using the time-series algorithms. © 2021 IEEE.