Dr Bhavna Bajpai

Nowadays, COVID-19 is considered to be the biggest disaster that the world is facing. It has created a lot of destruction in the whole world. Due to this COVID-19, analysis has been done to predict the death rate and infected rate from the total population. To perform the analysis on COVID-19, regression analysis has been implemented by applying the differential equation and ordinary differential equation (ODE) on the parameters. The parameters taken for analysis are the number of susceptible individuals, the number of Infected Individuals, and the number of Recovered Individuals. This work will predict the total cases, death cases, and infected cases in the near future based on different reproductive rate values. This work has shown the comparison based on 4 different productive rates i.e. 2.45, 2.55, 2.65, and 2.75. The analysis is done on two different datasets; the first dataset is related to China, and the second dataset is associated with the world's data. The work has pre...

... E-marketing builds on the E-channel's ability to provide detailed data about ... enables customized advertising, customized products and enrichment of the relationship with customers ... and briefly discussed its evolution and importance to the banking industry and customers ...

As we are moving toward an age of digital globalization and online shopping, there is an increasing need for an efficient and reliable system that can help the consumers and the visitors to find their suitable products. Currently, various websites display the searched product when a visitor comes to their website. What we need is a system, which can recommend the products which are like the searched products. This will help the consumer to find out another product in case the item is unavailable, or the searched product is not good enough, or when they would like to look through different similar products. A good recommendation system has been found out to be financially beneficial for the companies also. It is found out that consumer is 35% more likely to buy a product if the recommendation is good enough for consumers. This proposed approach to the problem of the product recommendation system is to make use of the Amazon Apparel database, which contains data of 180,000 apparels. W...

Prevailing trends in E-learning and Knowledge Management (KM) projects have been enhanced by their increasing relativity in technological arena. The paper analyses and compares different M-learning and Mobile Knowledge Management (MKM) introduction scenarios based on evidence found in various relevant resources. The similarities and differences as identified between MKM and M-learning during the entire course of study are mentioned in details.

Purpose The purpose of this paper is to focus on the prediction of Coronavirus 2019 (COVID-19) using X-ray image. Design/methodology/approach This study proposed convolutional neural network (CNN) approach to predict COVID-19. Findings Prediction of COVID-19 using CNN. Originality/value The work has implemented multiple CNN models to classify chest X-ray of affected patients by using their chest scans. According to three models, the ResNet-50 is advantageous because of its high service reliability.

Environmental protection is a concept that uses information and communication technology(ICT) for enhancing people’s daily lives. Human fall detection is an effective environmental support sub-area. One of the critical issues in elderly people is the fall detection. In this work, we have proposed the fall detection algorithms using machine learning which later uses a fog computing approach to send information to the caregiver in real-time. One class method based on a support vector machine is used to build fall detection and a Smartphone accelerometer is used for the data collection. We have considered five features from the Smartphone accelerometer for the building of the fall detection model. Fog computing approach is used to intimate the caregiver about the fall in real-time through the cloud connection even in the absence of fog node. The innovation is that we have used the multiplication of the kernel matrix to enforce a one-class classification. During the detection of human f...

Purpose The purpose of this study/paper To focus on finding COVID-19 with the help of DarkCovidNet architecture on patient images. Design/methodology/approach We used machine learning techniques with convolutional neural network. Findings Detecting COVID-19 symptoms from patient CT scan images. Originality/value This paper contains a new architecture for detecting COVID-19 symptoms from patient computed tomography scan images.

There have been diversified approaches in developing knowledge management (KM) technology as a solution to promote knowledge dissemination, knowledge creation, and knowledge sharing (KS) in an organization or community. These approaches have strengths and ...