ABSTRACT
The COVID-19 illness primarily carried by a Corona viral, commonly known as SARS-CoV-2. The rapid pace of such a drug's growth over six of the seven planets, except South, was already reported. Ever since it appeared, it has caused serious damage for many sectors and didn't harm the luxury goods sector. A major gate as in transition is opened by the epidemic. The COVID-19's effects on the Indian economy are negative. A old company concept needs to evolve to meet the demands of present.Through a clever absorption of internet media, method, & aptitude in any point & activity, the change as in setting of online is witnessed in all areas, i.e., in society, organisation, or in the exactness like an organisation, only in companies, or in the environment. Technology is used in conjunction with industry 4.0 (also known as DX or DT) to generate value for key parties (users in the totality), and to develop and gain the capacity for quickly adapting to situations which are altering.Any item or service may now be marketed but also advertised to customers online thanks to change carried out in a data - driven method, which has done away with the need for external middlemen. A large number of firms are impacted by COVID-19 since it has an impact to the entire globe and causes social estrangement with customers. In light of social distance, a wide range of sectors and businesses will be impacted. In this research, the idea of digitisation is proposed as a projected way through. Social distance may alter the characteristics or the purchasing habits. This study is being done to determine how it COVID-19 problem will affect consumer purchasing habits. By using internet tactics and strategies, consumers are shifting the way that merchandise and services are traditionally purchased. As per research, the digital advertising framework has permeated our imagination for acquiring the ways that are best for selling from several top-performing businesses.Only thing changing in regard of consumer purchase intention following COVID-19 recuperation would be the sales for items, which will mostly stay same with. Consumers will develop the buying habit so as protection, physically or straight from creators. © 2023 IEEE.
ABSTRACT
Deep learning plays a major role in detecting the presence of Coronavirus 2019 (COVID-19) and demands huge data. Availability of annotated data is a hurdle in using Deep learning technique. To enhance the accuracy of detection Deep Convolutional Generative Adversarial Network (DCGAN) is used to generate synthetic data. Densenet-201 is identified as the deep learning framework to detect COVID-19 from X-ray images. In this research, to validate the effectiveness of the Densenet-201, we explored conventional machine learning approaches such as SVM, Random Forest and Convolutional Neural Network (CNN). The feature map for training the machine learning approaches are extracted using Densenet-201 as feature extractor. The results show that Densenet-201 as feature representation with SVM is performing well in detecting COVID-19 with high accuracy. More-over we experimented the proposed methodology without using DCGAN as well. DenseNet-201 based approach is capable of detecting the presence of COVID-19 with high accuracy. Experiments demonstrated that the proposed transfer learning approach based on DenseNet-201 along with DCGAN based augmentation outperforms the State of the art approaches like ResNet50, CNN, and VGG-16. © 2022, ComSIS Consortium. All rights reserved.