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Due to the imposing of the lockdown in India because of Covid-19, the boiler units in industries and power plants get shutdown. It leads to chances of occurrence of downtime corrosion in boilers. Generally, the downtime corrosion is said to be negligible as compare to corrosion that occurred during the working of boilers. However, if the shut down is longer than some weeks then this corrosion cannot be negligible at that level. It results in the loss of life of the material of the boiler and its parts. Thus this paper aims to point out the types of corrosion that can occur and preventive measures needed to be taken for the different types of downtime corrosion. [ABSTRACT FROM AUTHOR]

Coronavirus Disease-2019 (COVID-19) pandemic discovered in 2019 was caused through Severe Acute Respiratory Syndrome-Coronavirus-2 (SARS-CoV-2). It is spreading rapidly as a communicable disease which has been declared as a pandemic by WHO. This virus was firstly reported in people of China who were associated with the Huanan seafood wholesale market of Wuhan. COVID-19 pandemic has challenged the lives of millions of people in India butdiabetic patients are at high risk of hospitalization and mortality during the COVID-19 pandemic. So, they need to deal effectively with the difficulty of its treatment as diabetes acts as a risk factor for the severity of this disease. This paper presents a statistical analysis of the information given by 125 diabetic patients in India. The effect of this information was determined through analysis of variance (ANOVA) using SPSS. Further, a bibliometric analysis of 51 Indian publications indexed in Scopus related to diabetic patients having COVID-19 was also conducted. The aim of this paper is to briefly study the effect of coronavirus on diabetic people as well as to study the recent research trends of present researches togive a better knowledge of COVID-19 in diabetic patients. [ABSTRACT FROM AUTHOR]

The Electric Vehicle (EV) industry is growing in India despite Covid 19 challenges. The scope of this paper is to understand the need for approaches towards range anxiety solutions. It highlights the current development in the standardization principles using lean techniques and how this can help standardization in-vehicle platform architecture and battery of an EV. This review paper analyses the four different case studies in the EV context and justifies how the EV battery pack is the right candidate for standardization. The study highlights the benefits, challenges, and associated factors to address these challenges. The paper concludes how the standardized EV battery pack helps manage the Range Anxiety for many stakeholders in the EV ecosystem in Business to Business (B2B) and Business to Customer (B2C) segments. Finally, the paper highlights the future research scope towards EV Battery Pack Geometry Form Factor standardization. [ABSTRACT FROM AUTHOR]

This paper is a study about COVID-19 cases in India to analyze and visualize the spread of COVID-19 cases in INDIA. For the analysis, the concept Exploratory Data Analysis (EDA) and some well know prediction models like Prophet Model, ARIMA Light GBM, Random Forest Regressor, XGBoost Regressor have been used to get the correct analyzed result. Furthermore, it has been observed that these prediction models and tools are helpful to analyze and visualize the COVID-19 situation in India and reason to spread it in optimal ways. Here, Matplotlib library has also been used to show the proper output in the form of graphs and charts. Analysis has been done on different Age/Gender Group. The Spike of Cases in India, State-wise Insights, the reason for the spread of COVID 19 cases. So, the main objective of this paper is to do analysis to know the reasonforCOVID-19 cases in India, State-wise Insight and State-Wise Testing, Prediction. To understand the optimal result of growth factors, the concept of Prophet Model ARIMA, LightGBM, Random Forest Regressor, XGBoost Regressor have been used on the data set. In addition, the data set includes the parameters of Age Group, Spike of Cases and Testing in India. From the literature survey, it has been observed that authors have used two and three techniques to analyze the result, but they have not used the methods we stated earlier for optimal result. This paper will provide the State-wise Insight and State-Wise Testing going in India with reason for spreading of COVID-19 cases. [ABSTRACT FROM AUTHOR]

In the present times, Covid-19 is a great concern for every country as it is spread in multiple countries across the globe. In this paper, we will try to estimate potential consequences of SARS-CoV-2 transmission through a compartmental model. As many parameters may be observed to predict about number of deaths and covid-19 cases due to SARS-Cov2. We will use SEIRD model to predict basic reproduction number with the help of collected data of confirmed Covid-19 cases, deaths and the clinical parameters. In the next part of paper, we will try to make forecast about the number of deaths in India. [ABSTRACT FROM AUTHOR]

Over one billion students from 150 countries are impacted due to the COVID-19 driven lockdown and educational institution closure as per the report shared by UNESCO. Innumerous efforts have been put up by the Governments of every country to control the impact of the COVID-19 but unfortunately, there is no vaccine available till now so social distancing is the only way to have an upper hand on it. The COVID-19 pandemic has affected the educational systems worldwide and led to the widespread closures of Educational Institutions across the globe. Numerous educational reformers have long-held out the expectation that information and computer technologies (ICTs) will play a crucial and integral role in bringing the long-needed revolution to teaching and learning pedagogies. The situation which took place due to COVID-19, the Online Education Systems and Platforms (OESP) are playing an important role to continue with the teaching processes in the educational institutions during the worldwide closure. Statistical analysis of the covid situation on the teaching-learning process has been depicted in this paper. The present paper focuses on the change of action in the education system and the exponential growth that happened in the Online Education Segment in the 21st century. [ABSTRACT FROM AUTHOR]

Time series forecasting is a decisive step in data modeling and a significant area in machine learning. This paper presents Long short-term memory (LSTM) network, a deep learning neural network for predicting Covid-19 cases in India. The neural network models are trained and tested with Covid-19 case data sets obtained from PRS Legislative Research database. Further, the parameter optimization is carried out for choosing the optimal network. The parameters considered for evaluating the performance of LSTM network are RMSE, number of epochs, accuracy and loss. The results are compared with various recurrent neural network models and autoregressive model. The results revealed an improved accuracy of 92.8% for LSTM network in predicting the transmission of Covid-19 in India. [ABSTRACT FROM AUTHOR]

Covid-19 has created unprecedented loss and disruption all across the world. It has impacted every section of human life, ranging from economical desperation to mental dissonance. While the economic impact of the pandemic is widely studied and reported on through the lens of conservative businesses, i.e. manufacturing, production and trading, the tourism sector suffers from the negligence of the researchers. This paper aims to assess the impact of Covid-19 on the tourism industry, especially in the local areas of Uttarakhand, India. Using survey data on the economical variance across different sectors of tourism, this study provides the assessment of monetary lost and the methodological steps that may be taken to revive the local tourism sector. [ABSTRACT FROM AUTHOR]

The impact of the pandemic COVID 19, is being felt by the whole world and in all the facets of life. No single country or industry has been exempted from its affects. As per the WHO guidelines, social distancing was mandated and as a result lockdown was enforced in India for the sake of public wellbeing. None are certain about how long the pandemic impact will last on the global economy. Though work from home is not new to the IT sector, it is a very new thing for a lot many organizations which never had been a part of their culture. With the closure of schools and day care centers, working parents are encountering unprecedented situations which are resulting in stress. With all types of employees working in an entirely new environment, this paper attempts to identify if the job role and family are conflicting with each other while working at home and if the wide usage of ICT is resulting in stress. It also tries to identify whether the stress caused due to work family conflict and family work conflict is showing any influence on productivity of the employee during the pandemic. [ABSTRACT FROM AUTHOR]

Covid-19 is a fast-spreading viral disease that not only infects humans but also animals. The daily lives of people, their health, and a country's economy are all impacted by this devastating virus. Unfortunately, India again got hit with the second wave of COVID-19, and this time the double mutant virus is much stronger than the one involved in the first wave of Pandemic. According to the scientists, the double mutant virus is 70% more deadly than the previous one that makes the situation even more alarming. This study shows that COVID-19 infected patients mostly suffer from lung infections after coming in contact with the virus. To perform the analysis, the data was collected from the Kaggle repository. This method only focuses on various trends and analyses of COVID-19 infected patients. This paper aims at performing exploratory Data Analysis to retrieve various kinds of important insights from the extracted data that involves the positivity rate of the top 10 countries around the world, positivity ratio of different states of India, death ratio of various states, and also the positivity rate based on gender is retrieved that is further important in claiming this virus' susceptibility towards a particular gender. The result of this analysis shows the man is at a greater risk of encountering the COVID-19 virus due to lack in presence of certain hormone that is only found in women. [ABSTRACT FROM AUTHOR]

COVID-19 is the infectious disease caused by the most recently discovered corona virus. This new virus and disease were unknown before the outbreak began in Wuhan, China, in December 2019. This paper focuses on a Time Series Model to predict COVID-19 Outbreaks in India. Every day data of fresh COVID-19 confirmed cases act as an exogenous factor in this frame. Our data envelops the time period from 01st Sep, 2020 to 9th Dec, 2020. COVID-19 Corona virus disease has been recognized as a worldwide hazard, and most of the studies are being conducted using diverse mathematical techniques to forecast the probable evolution of this outbreak. These mathematical models based on various factors and analyses are subject to potential bias. Here, we put forward a natural Times Series (TS) model that could be very useful to predict the spread of COVID-19. Here, a popular method Auto Regressive Integrated Moving Average (ARIMA) TS model is performed on the real COVID-19 data set to predict the outbreak trend of the prevalence and incidence of COVID-19 in.India. The time series under study is a non-stationary. Results obtained in the study revealed that the ARIMA model has a strong potential for prediction. The model predicted maximum COVID-19 cases in India at around 14, 22,337 with an interval (12, 80,352 - 15, 69, 817) during 1st Sep to 9th Dec period cumulatively. As per the model, the number of new cases shall fluctuate drastically in India. The results will help governments to make necessary arrangements as per the estimated cases. This kind of analysis and implications of ARIMA models and fitting procedures are useful in forecasting COVID-19 Outbreaks in India. [ABSTRACT FROM AUTHOR]

Covid-19 pandemic has wreaked havoc worldwide in recent months, due to which many countries including India went under lockdown causing a decrease in customer engagement. Many companies have turned to AI tools such as chatbots to improve customer experience by handling customer queries to cope with this situation. Nowadays, it has become imperative for businesses to enhance their customer experience by adopting new technologies such as chatbots that help companies answer customers' simple queries. A good customer experience ensures a positive brand image and customer loyalty. However, there is currently a lack of knowledge regarding the impacts of chatbots on customer experience during covid-19. Objective: The objective of this Research paper is to investigate the impacts of chatbots on customer experience during Covid 19 in India. Research Methodology: Primary data was collected from 104 respondents using a structured questionnaire to gather information regarding customer experience. Data were analyzed using suitable statistical techniques. Implications of the study: The research conclusion was to identify the impacts of chatbots on customer experience and help organizations to tailor effective and efficient chatbots for their businesses to maximize customer experience and satisfaction. Originality: Very few studies have been done in this area to help analyze how companies are trying to enhance customer experience during covid-19 in India by adopting technological means such as Chatbots. This research is to understand the customer perspective towards the perceived experience of chatbots during the covid pandemic in India. [ABSTRACT FROM AUTHOR]

In its simplest form, a pandemic like Covid-19 progresses roughly according to a logistical law – exponentially at first till a peak rate is reached and then the curve turns and finally levels off. However, this textbook feature is interrupted by lockdowns, other pandemic mitigating protocols, and the emergence of new variants and so the picture becomes complex with multiple wavelike interferences. In this paper, we identify two components – the death rate per million of population (N) and the fractional rate of change (f) at each stage. We propose a series of hierarchically ordered indicators with a final second-order indicator X = f2N. This serves as a single number metric summarising the criticality of the rate of progress of the pandemic at that stage. We use as examples, the progress of Covid-19 at the global level, and within India. This helps to reveal the complex features of the evolution of a pandemic in a region. [ABSTRACT FROM AUTHOR]

Purpose: The epidemic caused by Covid-19, which has shattered the world wide economy, has also deviated the Indian economy. Almost all Indian states have taken strict actions of quarantine to regulate the spread of coronavirus. The purpose of this paper is to look over the socioeconomic affect of coronavirus and policy reforms in India. Originality: Previous studies have either used single day data or max of a week data to explore the effect of the Covid-19 crisis or most of them focus on a single sector such as the economy. To the best of the author's knowledge, this is the first study to look at Covid-19's socioeconomic effect on Indian states. Methodology: The present study used secondary data from several authentic websites such as the Worldometer, UNESCO, and newspapers. The period used for analysis is from March to July 2020. Findings: The results indicate that India isnoexceptioningettingthesevereimpact of the Covid-19, and Western and Southern are highly influenced compared to other regions of India. Implications: Thepresentpaperhasthefollowingimplications. First, societal policies can positively influence the community and economic well-being of individuals. Second, the recent outbreak has shown how a biological catastrophe will be converted into a sociological crisis. [ABSTRACT FROM AUTHOR]

The word Taxonomy is the way of Classification. It is the science of naming and classifying all the living organisms as well as extinct organisms of the world. Swedish Botanist Carlous Linnaeus was the father of taxonomy; Out of 17000 plant species present in India, more than 7600 plants are medicinal plants. Indigenous Indian medicines are formulations of traditional knowledge and medicinal plant extracts. The traditional knowledge is transferred from one generation to other generations which is used as drug for various diseases, instead of relying on what is the ingredients and proportions these drugs are based on traditional knowledge. These drugs involve the use of plant extract. The World Health Organization (WHO) , leading agency in health care found that 80 % population in low economic output countries depend on traditional medicine for their essential health care[1]. In the current era of pandemic medicinal plant species like citrus spp, allium sativum, allium cepa found effective in management of COVID 19. As per WHO guidelines, In the field of medicinal research where clinical trials are used for new drug discovery, there is need of continuous supply of authenticated products which are correctly identified, classified, and verified [1]. Traditional identification and classification methods are not quick, efficient and reliable. Automated Classification of medicinal Plants help to conserve knowledge of medicinal plant species, share it from one generation to next generation and help the whole society to improve the knowledge about medicinal plants. The paper presents traditional and recent trends using Computer vision and machine learning for classifying medicinal plant species. The main focus is on Leaf image as input. It presents the challenges as well as opportunities in identifying and classifying medicinal plant species by performing comprehensive review of traditional methodologies. [ABSTRACT FROM AUTHOR]

The educational institutions have been closed to protect the students from covid-19 pandemic. Almost all of these educational institutions have started online education to ensure that the students do not bear the loss of academics during the pandemic. However, the effectiveness and efficiency of these online education platforms is still not clear especially for countries like India where the technical infrastructure is a major challenge. However, there is no denying to the fact that online modes of education provide a lot of flexibility and convenience to both the faculty as well as the participants. However, for those areas in studies, where practical activities form major part of the curriculum, online education is not the perfect fit. The purpose of this study is to assess the effectiveness of online education during the current Covid-19 pandemic scenario. [ABSTRACT FROM AUTHOR]

The banking sector in India is one of the paramount drivers for the magnification event of the economy. The word digitalization is almost used in every sector of the economy and banking is no exception to it. The twenty-first centur in which we are living is highly regulated by the digitalization process. The govt. of Indian also announced Digital India Programme with the vision that the financial sector move to increase their knowledge with technological innovation. The process of digitalization in banking is also important for the smooth functioning of transactions and enhanced customer satisfaction. The digitalization process in banking helped in the process of financial inclusion. Keeping a similar objective the Prime Minister Mr. Narender Modi also started the Jan Dhan Yojana for opening the saving account for the unbanked person. In the scenario of Covid 19, most of the banks in the pandemic time have reduced the banking hours for their customers and insist them to go for digital banking, but fulfilling the customers demand and their expectations is a big challenge for the banks. Banks to ensure their continuity and to mitigate the impact of this pandemic have to make structural and operational changes in the delivery of the banking services online and also increased their digital offerings, including an enhancement in the number of digital touchpoints offered to their customers. After this Covid 19, it's been expected that the Indian public will experience new digital banking apps with a simplified interface and enhanced security features along with the fast execution of banking services. Further, these changes will change the behavior of the bank customers, such as shifting from physical banking to online banking. This implies that if banks want to grasp the opportunities that emerged out of this Covid -19 banks will have to re-devise their strategies and shift their efforts and resources towards digitization. [ABSTRACT FROM AUTHOR]

Infectious disease mainly affects public health; also it requires distribution and time-consuming monitoring systems in different geographical measurements. In India, the death rate was the largest (10-20 million), and the highest death rate was 4.39% worldwide. In general, Diseases have been transmitting to humans through air, water, temperature, and unclean practice. Flu's are transmitted from person to person utilizing coughs or sneezing. Poisson regression model's is used to study the epidemic data. Estimation on worldwide mortality-related epidemics at 95% of the confidence interval from 1894 to 2019 is carried out with the number of weekly deaths. [ABSTRACT FROM AUTHOR]

Technology has revolutionized our world and everyday life over the years. In all these revolutions, technology our lives easier faster, better fun made. To withdraw or transfer money to someone you no longer have to enter the bank. Many banks have already made online transactions possible, everywhere. With your cell phone and banking application, you can manage all your bills online. Moreover, it is clear that COVID-19 million workers have been forced to stay home for the past eight months. There is a need to quickly transform digital technology into a 2020 vision. This adaptation came into effect almost immediately with the lockout, especially for India digital payments. The Government of been actively promoting online payments since 2016, starting with monetization. 'Digital India' was the driving force behind many digital and Indian economic decisions. There are different methods of digital payments in India, bank cards, Unstructured Support (AEPS) Data (USSD), Aadhaar Enabled Payment System, Integrated Payment (UPI), Bank Prepaid Cards etc. Therefore, overall Govt-19 has provided incentives for digital payment in India. [ABSTRACT FROM AUTHOR]

Purpose: During COVID-19, migrant labourers had suffered the most in India for which the Indian government has launched One Nation One Ration scheme to provide ration under the Public Distribution System. But this scheme has received mixed reactions from the public and created buzz on Twitter. This study aimed to identify the most frequent topics in tweets discussed by the public, along with the sentiments associated. Methodology: The current study is exploratory and descriptive based analysis of the text extracted from Twitter. Total 11,504 tweets were extracted using R Software and analyzed by applying NRC based sentiment analysis and Louvain Method of network analysis. Findings: Identified eleven clusters of topics which were discussed the most in response to the scheme ONOR with particular focus on providing ration to migrants amid COVID-19. Amongst anger, fear, anticipation, trust, surprise, sadness, joy, and disgust; trust is found to be more for the scheme by the public. Originality: This study has contributed by exploring the public opinion for the government's Public Distribution Scheme to overcome hunger crisis using machine learning techniques. [ABSTRACT FROM AUTHOR]

We have analyzed the COVID19 epidemic data for India and some of its states between March 10 till October 3, 2020. The behavior amongst various parameters and their patterns are studied. We modeled the distributions of various epidemic parameters through multiple techniques such as generalized linear models and SIR. We found that different states are at different stages of the pandemic life-cycle. Our analysis seems to suggest India is not yet gone past its first wave. Given this reality, mitigation measures such as social distancing, wearing masks, cleaning hands can not be overemphasized. We also found that India and states' pandemic behavior varies by a wide margin due to various practices and policies. [ABSTRACT FROM AUTHOR]