Geographical and spatial diversities play important roles in dynamics of spread of COVID-19 virus. These phenomena are not properly addressed in the literature yet. In this paper, COVID data of various states of India are collected. The data had been processed and analysed using an open-source software. A framework based on Susceptible, Infectious, Hospitalised, Recovered and...
Transportation is a driving force behind economic development and well-being of all people around the world. An urban transport system is one of the most critical infrastructures for urban development. Impacts of a poor urban transport are manifested in terms of congestion, delays, pollution, accidents, high-energy consumption, low productivity of resources, community severances...
The current scenario of the pandemic COVID-19 has been a source of anchorage for researchers, healthcare professionals, and statisticians. Based on the immense data, it has been observed that the role of statistics has been crucial in researching and at the same for predicting the COVID-19 scenario of the entire globe. This paper deals with extensive data collection and...
Analyzing dissolved gases in the transformer's mineral oil helps to detect and classify the systemic faults in electric power transformers. Formerly, empirical methods such as Rogers ratio, Duval triangles 1–4–5, and pentagons 1–2 were used for transformer fault classification. Loose fit for every transformer type is one of the most prominent disadvantages of conventional methods...
COVID-19 pandemic defined a worldwide health crisis into a humanitarian crisis. Amid this global emergency, human civilization is under enormous strain since no proper therapeutic method is discovered yet. A wave of research effort has been put toward the invention of therapeutics and vaccines against COVID-19. Contrarily, the spread of this fatal virus has already infected...
After the World War II, every country throughout the world is experiencing the biggest crisis induced by the devastating Coronavirus disease (COVID-19), which initially arose in the city of Wuhan in December 2019. This global pandemic has severely affected not only the health of billions of people but also the economy of countries all over the world. It has been evident that...
The recent explosion of interest in online courses can directly be attributed to the current pandemic which has collated to the adoption of Massive Open Online Courses. While the enforced social distancing protocol inevitably demands the involvement of technology in raising awareness, it further requires the imposition of preventive restrictions on touch-based systems. Visual...
The unexpected emergence of a novel and dangerous virus widely known as coronavirus (COVID-19) has brought in global health crisis and has socioeconomically disrupted the lives of people to a significant extent. In order to curb the spread of the contagious infection, nationwide lockdown and sometimes shutdown is announced by the state which has adversely affected the lives of...
The ongoing COVID-19 pandemic has caused worldwide socioeconomic unrest, forcing governments to introduce extreme measures to reduce its spread. Being able to accurately forecast the effect of unlocking in India would allow governments to alter their policies accordingly and plan ahead. The study investigated prediction forecasts using the ARIMA model on the COVID-19 data on the...
Online teaching–learning methods have been followed by world-class universities for more than a decade to cater to the needs of students who stay far away from universities/colleges. But during the COVID-19 pandemic period, online teaching–learning helped almost all universities, colleges, and affiliated students. An attempt is made to find the effectiveness of online teaching...
Telemedicine is considered as the "Natural evolution of healthcare in the digital world." In India, considering the vast geographical spread, predominant rural population, and sound medicinal services overwhelmingly accessible in urban areas, telemedicine has immense potential to grow from its nascent stages. The progression of technology-enabled transformations will provide an...
A Correction to this paper has been published: https://doi.org/10.1007/s40031-020-00486-1 .
The simulation of stable distributions was performed to study an ideal movement pattern for the spread of a virus using an autonomous carrier. It has been observed that Lévy walks are the most ideal way to spread and further study was done on how the parameters in Lévy distribution affect the spread.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which caused an outbreak of pneumonia in December 2019 in Wuhan, China, has spread rapidly throughout the world. This ongoing pandemic has resulted over 55.6 million cases of COVID-19 leading to 1.34 million deaths in more than 188 countries. However, it has been observed that the death rate is significantly in the...
Today world is going through a critical phase. The whole world is infected from the coronavirus [COVID 19]. In India also the number of new cases keeps on increasing. In this paper, the machine learning model has been developed using time series analysis (ARIMA model) for predicting the new cases in India in the next coming days. In this work, results are also compared with the...
The massive spread of COVID-19 has disrupted trading activities worldwide plunging the economy of a nation; particularly, trade-dependent nations are severely affected by the restriction in exports and imports. This paper aims to evaluate the implications of COVID-19 on the trade economy of New Zealand by exploratory data analysis and ARIMA modeling. Based on a comprehensive...
This research paper focuses on the modeling of total cases due to COVID-19 and the critical assessment of socioeconomic impact on India. The data set considered for the present analysis is from December 31, 2019 to May 16, 2020 for training and testing of developed regression model. Least-square approximation of linear regression technique is applied to estimate the total cases...
The information disquiets are attractive in information extraction for safeguarding confidentiality. The key problem in information disquiets is to portray the equalization of two differing features as confidentiality safeguarding and information usage. The intention is to design a symmetrical information disquiets scheme by employing information disquiets and three-dimensional...
In India, the first confirmed case of novel corona virus (COVID-19) was discovered on January 30, 2020. The number of confirmed cases is increasing day by day, and it crossed 21,53,010 on August 9, 2020. In this paper, a hybrid forecasting model has been proposed to determine the number of confirmed cases for upcoming 10 days based on the earlier confirmed cases found in India...
Learning through Internet is becoming necessary for easy understanding of complex problems and knowledge sharing process. A new pedagogy is being demanded in the teaching process which includes digital platforms for better understanding. Moreover, software and hardware have been developed for ease of access to the materials and smooth learning. The COVID-19 pandemic brought...
The epic coronavirus (COVID-19) flare-up, distinguished in late 2019, requires unique consideration in view of its future pandemics and conceivable worldwide dangers. In addition to clinical methodology and medicines, artificial intelligence (AI) guarantees another worldview for social welfare, a few distinctive AI methods that are based upon machine learning calculations are...
The high R-naught factor of SARS-CoV-2 has created a race against time for mankind, and it necessitates rapid containment actions to control the spread. In such scenario short-term accurate spatiotemporal predictions can help understanding the dynamics of the spread in a geographic region and identify hotspots. However, due to the novelty of the disease there is very little...
The objective of this paper is to develop and implement a complete system for reactive power compensation in railways or high DC power consuming industries. Very high current harmonics are generated, when AC supply is converted to DC to run DC machines, e.g., railway locomotives. Generally, for such applications, static VAr compensators (SVC) are used in combination with passive...