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1.
2nd International Conference on Information Technology, InCITe 2022 ; 968:167-178, 2023.
Article in English | Scopus | ID: covidwho-2303513

ABSTRACT

The present study aims at understanding and analyzing the COVID-19-induced behavioral change spurting artificial intelligence (AI) adoption in Indian banking industry. The study has further identified and analyzed the usage pattern of Indian customers for mobile banking/online banking services in the pre-pandemic phase and progression of Indian customers for mobile banking/online banking services during the pandemic. Secondary data has been used for deep understanding of the AI adoption in Indian banking industry, with reports from McKinsey, PWC, RBI, NPCI, BIS, etc., to form the base. The period of study was taken from 2016 to 20, and this was taken keeping in mind the timing of another unprecedented event of demonetization. Behavioral change of Indian banking industry customer was assessed on three broad parameters change in value and volume of mobile banking transactions on year on year basis. COVID-19-induced behavioral change translating in massive jump of 178% in volume of mobile transactions between March 2019 and 2021. The increase in number of smart phone users and access to connectivity and desired technology has helped the cause. With 2020–21 punctuated by several nationwide as well as localized lockdowns adoption of AI for customer engagement has been crucial for Indian banking industry, which has further translated in to designing and customizing products and risk profiling of customers further resulting in increased operational efficiency and intuitive decision making. The behavioral change induced by COVID-19 in the Indian baking industry achieves competitive advantage by truly responding to huge customer data base which has been utilized by other financial industries as now it can have systems which understand and are responsive to behavior of varied customers. From responses feeded chatbots to intuitively responsive AI bots, the customer engagement is going to be a whole new experience which will help in customer acquisition and retention. Further, with falling data storage costs, increasing processing speeds and capabilities and improved connectivity and access for all has helped the rapid automation and AI adoption. Enterprise level adoption of AI has led to revenue generation and optimization of functional resources this reducing the cost at functional level. The AI adoption has been continuous from the banks over the years though banks have started to harness its potential in the recent years with customers adoption of smart hand-held devices. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

2.
10th International Conference on Reliability, Infocom Technologies and Optimization ,Trends and Future Directions, ICRITO 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2191926

ABSTRACT

COVID-19 has already had a significant influence on our everyday lives and with the influx of patients infected with the newer emerging variants there arises a need for a quick, accurate, and remote mode of identification. Cough sounds can play a vital role in the identification of COVID-19 in individuals. They can be used as an important factor to determine if the person is infected by COVID-19 or not, even with the prior existence of a respiratory ailment. Hence, we focused on providing a widely accessible and scalable solution through the method of a real-time mode of detection of the 'COVID cough' via a machine learning model trained 'COVID cough' recorded dataset. Based on the input, the person is provided with the diagnosis after being assessed by the model. © 2022 IEEE.

3.
NeuroQuantology ; 20(20):372-380, 2022.
Article in English | EMBASE | ID: covidwho-2164851

ABSTRACT

WHO had advised certain guidelines globally during covid-19 pandemic for isolation and protection measures can be further increased for the relevant individuals with obvious risk factors for exposure affected persons. The epidemiological exposure history can be considered as the most essential reference for determining the potential source of illness. People who are exposed to case patients throughout their incubation may also be considered close contacts when determining who they are. The isolation and monitoring of close contacts can be consolidated under the presumption of the conveyance, such as masks, single-person transfers, and disinfection of transport vehicles, etc. Copyright © 2022, Anka Publishers. All rights reserved.

4.
Industry 4.0 and Intelligent Business Analytics for Healthcare ; : 1-352, 2022.
Article in English | Scopus | ID: covidwho-2067728

ABSTRACT

In today’s world, there is nothing permanent except change. We have seen the advent of the Fourth Industrial Revolution or Industry 4.0 over the last couple of years. Now is a perfect time to think about Industry 4.0 technology and leverage its advantages for the benefit of mankind. It cannot prevent the onset of pandemics;however, it can help and has helped prevent spread, educate, warn, and empower those on the ground to be aware of the situation, and noticeably lessen the impact. Industry 4.0 can fulfill the requirements of customized facemasks, gloves, and collect information for healthcare systems for proper controlling and treating of COVID-19 patients. Major technologies of Industry 4.0 are required to solve the problems of this virus. It is useful to provide day-to-day updates of an infected patient, area-wise, age-wise and state-wise with proper surveillance systems. We also believe that the proper implementation of these technologies would help to enhance education and communication regarding public health. These Industry 4.0 technologies could provide a lot of innovative ideas and solutions for fighting local and global medical emergencies. Today, we need to focus on technologies like mobile, cloud, analytics, robotics, AI/ML, 4G/5G, and high-speed internet;it has become possible to test several innovative approaches to pandemic response. The objective of this book is to bring together leading academic scientists, research scholars and professionals to exchange and share their experiences and research results in Industry 4.0 and Intelligent Business Analytics. This research-oriented book will provide a common platform to all researchers in this domain. It covers different verticals of industry and academics, which is an added advantage of this book. © 2022 by Nova Science Publishers, Inc.

5.
NeuroQuantology ; 20(10):10661-10666, 2022.
Article in English | EMBASE | ID: covidwho-2067330

ABSTRACT

The effects of COVID-19 on the educational system are extraordinary. There have been widespread effects on children of all socioeconomic backgrounds, races, and sexes. As a result of the digital gap, many students are being forced to drop out of school as a direct result of the widespread closure of schools and the choice to move traditional classrooms to digital platforms. Kids' health and nutrition would suffer irreparably if they didn't have the chance to go to school. Six primary aspects of the educational setting are examined here: (1) online education;(2) in-class instruction;(3) scholastic performance;(4) institutional support;(5) co-curricular offerings;and (6) instructors. Approximately 347 college students from coastal Karnataka participated in this descriptive study. With the help of a literature study, a working hypothesis has been constructed and will be put to the test using analysis of variance and a t-test for independence in service of the overarching goal. Path analysis is used to investigate the associations between students' attitudes toward their college's learning environment, the quality of that environment, and the outcomes for those students' academic careers. According to the findings, college students have a generally good view of online education (M=3.14), online teaching and learning (M=3.704), online evaluation (M=3.38), college and administration (M=3.83), extracurricular activities (M=3.87), and teachers (M=3.63). Students' views on different aspects of the higher education system did not change much, contrary to what was predicted by the null hypothesis. Copyright © 2022, Anka Publishers. All rights reserved.

6.
Industry 4.0 and Intelligent Business Analytics for Healthcare ; : 271-283, 2022.
Article in English | Scopus | ID: covidwho-2058362

ABSTRACT

Human-Computer Interaction (HCI) has swiftly made its way into the spotlight as an emerging branch of computer science and is gaining more importance with the passing day. It is quick to understand that technological inventions are used only if the users can take enough value out of them. This chapter of the interactions and associations between the users and the machines is the essence of HCI. Human-computer interactions become even more vital when the result of such interactions can be lifesaving. This is the case regarding global pandemics that often leave society in dismay and mayhem. The numerous challenges posed by pandemic outbreaks can be complex, and there is a growing need for new insights and novel methods to tackle these life-threatening circumstances. HCI is believed to be a growing discipline that, if used appropriately, can do wonders when faced with dangerous circumstances. When looking at the numerous pandemics over the years, it becomes clear that the success in response to each of them appears todirectly correlate to how well humans take value out of the latest technologies. The greater the ease with which each groundbreaking technical development can be handled, the greater the success is in tackling the outbreak. Ranging from the Severe Acute Respiratory Syndrome (SARS) at the very beginning of the decade to the current COVID-19 pandemic, many changes are seen to have come into light with regards to how we have evolved in our interaction with technology. The role played by HCI and its association with pandemics become clear as we investigate the numerous developments in the field over the years with each passing pandemic. This report provides an insight into how humankind has interacted with technology over the years to mitigate catastrophic global viral outbreaks and discusses the primary technologies used during each of the major pandemics while highlighting how HCI played a role in the success of each of them. © 2022 Nova Science Publishers, Inc.

7.
Industry 4.0 and Intelligent Business Analytics for Healthcare ; : 309-322, 2022.
Article in English | Scopus | ID: covidwho-2058261

ABSTRACT

In a recent global pandemic, Covid-19 has affected every individual across the globe. People everywhere have tried to develop brand new inventions and safety solutions to protect themselves and others from this virus. Mandatory guidelines are put forward in every country, including malls, offices, universities, schools, supermarkets, grocery stores, government buildings, areas of tourism, etc. After months of lockdown and conversion of all jobs and education branches to stay at home jobs and online modes of education, the world is finally getting used to the pandemic and is coming up with ways to cope with the new normal. There are a number of precautionary rules followed by everyone such as wearing a mask at all times, using hand sanitizer after using public facilities and touching anything which is not owned by oneself, not giving handshakes as a form of greeting anymore, going out lesser and only when its essential and maintaining social distance at all times and everywhere. This chapter concentrates on applying and implementingcontactless hand sanitizers using proximity sensors, transistors, dc water pumps, resistors, silicon or airline tube, battery holder, etc. The disposal machine can be any container, which can be cleaned and large enough to allow easy functioning and placement of the circuit, and the materials can be bought online and in stores worldwide. Many companies have used different types of complicated circuit based contactless hand sanitizing machines with the help of sensors since the beginning of this pandemic. However, now it is becoming easier to make these, and at once, own expertise, and the circuits used have become more integrated, thus requiring no expert help and a hefty budget. © 2022 Nova Science Publishers, Inc.

8.
Industry 4.0 and Intelligent Business Analytics for Healthcare ; : 253-269, 2022.
Article in English | Scopus | ID: covidwho-2058180

ABSTRACT

COVID-19 is causing turmoil across the world’s healthcare systems, aiming to contain the spread of pandemics and develop the basis for global economic productivity. A professional healthcare infrastructure would depend on the country’s commitment to ethical principles, a prerequisite for effective anti-corruption governance. It serves as the creative growth accelerator for healthcare. COVID is a global threat to not all human health but also to the country’s economic balance. The chapter has initiated to evaluate the relationship of the variables such as the Artificial Intelligence (AI) techniques, Global Connectivity levels, Corruption levels, and the health care systems. The research has been conducted using secondary data collected from various published online and offline sources. Our study’s sample covers the various indexesrecorded by 71 countries from all over the globe. The chapter exhibits a clear and positive impact of all the variables on each other. The indexes calculated also showed that the country having a robust AI framework will have good governance resulting in an anticorruption healthcare system. © 2022 Nova Science Publishers, Inc.

9.
1st International Conference on Cyber Intelligence and Information Retrieval, CIIR 2021 ; 291:619-629, 2022.
Article in English | Scopus | ID: covidwho-1473961

ABSTRACT

Augmented reality (AR) is the real world to which a virtual world including images sounds, etc. Augmented reality can be defined as a medium connecting digital information with the real world spatially and temporally and is instantly interactive. Virtual reality (VR) is a new technology that allows users to be present and interact with a computer simulation environment. Most virtual reality environments are devices for human-to-computer interaction with computers. Advances in technology in today's world have made a lot of information about our environment turn into a virtual environment. A type of information that has a special place in education today is augmented reality. This form of the virtual world is a living, direct or indirect physical view that adds elements around people's real world. This paper presents the study conducted by data collection and library studies and looks at how augmented reality and virtual reality are used as digital technology in school classrooms around the world. It seems to be one of the most appropriate ways to benefit from education in the age of Covid-19 and the closure of schools in many parts of the world and forcing students to enter the virtual world, which may continue and use these methods. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

10.
1st International Conference on Cyber Intelligence and Information Retrieval, CIIR 2021 ; 291:309-320, 2022.
Article in English | Scopus | ID: covidwho-1473958

ABSTRACT

Estimation of recovery rate of COVID-19 positive persons is significant to measure the severity of the disease for mankind. In this work, prediction of the recovery rate is estimated based on machine learning technology. Standard data set of Kaggle has been used for experimental purpose, and the data sets of COVID cases in Italy, China and India for these countries are considered. Based on that data set and the present scenario, the proposed technique predicts the recovery rate. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

11.
1st International Conference on Cyber Intelligence and Information Retrieval, CIIR 2021 ; 291:89-101, 2022.
Article in English | Scopus | ID: covidwho-1473956

ABSTRACT

In the previous generation, the resources we had for our technology were limited. The development was not enough. There were big dreams to be fulfilled in technology by only imagining our favorite books and watching our favorite sci-fi movies. Through the years, as our resources expanded, so did our technology. Artificial Intelligence technology has developed a lot through the years and is still developing. As our resources grow, we all are surrounded by technology in this age and time. It helps to make our lives a little easier than before, and Artificial Intelligence (AI) is a technology used to an industrial level to make things easier. Restaurants are commonly visited places by any middle-class man;let it be for lunch or Birthday Party. It is very common to visit a restaurant. There are issues regarding the restaurants’ hygiene, from the kitchen countertop to the waiter's hygiene serving you food. During the period of normalizing going out in the Covid-19 pandemic, there were many issues regarding this? In this paper, the core point is to avoid physical contact and enhance restaurants’ future with AI and its upcoming potential to deliver a new and safer experience to the customer. This will help prevent contact with the waiter, create a unique customer experience, and create a hygiene environment while implementing newer things. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

12.
Proc. Int. Conf. Comput., Autom. Knowl. Manag., ICCAKM ; : 198-203, 2021.
Article in English | Scopus | ID: covidwho-1142781

ABSTRACT

Data mining is comprehended as a procedure used to get important data from any more extensive cluster of raw data. It infers assessment of data designs in huge data sets utilizing at least one or more applications. Data mining has applications in various fields, for instance science and research. Associations can improve client connections as a use of data mining and execute systems identified with different business capacities and thus upgrade business in an increasingly ideal and compelling way. This encourages organizations draw nearer to arriving at their objectives and to settle on smarter decisions as well. Orange is segment based visual programming for data mining, Artificial Intelligence, and data examination. Work forms are made by interfacing predefined or customer organized parts called widgets. They read the data, process it, envision it, and do gathering, collect prescient models, and so on. Towards the start of December 2019, an erupt of coronavirus contamination 2019 (COVID-19), brought by a new critical intense respiratory issue coronavirus 2 transpired in Wuhan City, Hubei Province, China. On January 30, 2020 the World Health Organization announced the scene as a Public Health Emergency of International Concern. Several episodes forecast models for COVID-19 are being utilized by authorities internationally to settle on instructed decisions and authorize applicable precaution measures. Amidst the standard models for COVID-19 worldwide pandemic expectation, basic epidemiological and authentic models have gotten more consideration by specialists, and they are notable in the media. In this paper, we have taken COVID-19 dataset (downloaded June 2020) from Kaggle, related to India, and with the help of ORANGE tool we have visually represented to understand how certain relations can be depicted. © 2021 IEEE.

13.
Journal of Physics: Conference Series ; 1714, 2021.
Article in English | Scopus | ID: covidwho-1104770

ABSTRACT

Media as the core source of information and knowledge disperse in the society, its effect on the learning, understanding and analysing about the society in the human minds and cognition is certainly impacted. In focal to the visual media such as advertisement, movies, video etc., it enunciates and indicates a high level of learning process and social learning. Media has a huge impact on the different aspects of cognition in the population, especially on the age category of teenagers and young adults. With the current situation of covid 19, there has been a paradigm shift within the educational sector, forcing visual media as the key source of education and learning, with many countries utilizing remote learning or digital learning to cope with the current educational crisis. This study therefore aims to investigate and understand the impact of the visual media and different video learning platforms in improvement of the social cognition and learning among student. Questionnaire survey method was employed as a tool to collect data from the sample of 250 students between the age group of 16 – 25 and a sample of 155 teachers with the experience of 1 -10 + years in the field of education across UAE and India. The result indicates that the student population showcase a keen interest and participation on the information and knowledge dispersed through screens such as movies and presentation rather than the content published such as newspaper and books. It helps students foster self-awareness, cultural value, cognitive skills and moral wellbeing with the help of visual media. © 2021 Institute of Physics Publishing. All rights reserved.

14.
J Health Pollut ; 10(28): 201201, 2020 Dec.
Article in English | MEDLINE | ID: covidwho-979201

ABSTRACT

BACKGROUND: Since March 2020, the number of confirmed COVID-19 positive cases have steadily risen in India. Various preventive measures have been taken to contain the spread of COVID-19. With restrictions on human activities, anthropogenic emissions driving air pollution levels have seen a reduction since March 23, 2020, when the government imposed the first nationwide shutdown. The landlocked Indo-Gangetic Plain (IGP) has many densely-populated cities, witnessing high levels of particulate matter due to both nature-driven and anthropogenic elements. Kanpur is an urban metropolis in the IGP with high aerosol loading, and this paper explores the impact of restricted anthropogenic activities on aerosol characteristics in Kanpur. OBJECTIVES: This study aims to investigate the change in aerosol optical depth level and its related parameters during the shutdown phases in Kanpur city compared to the same time periods in 2017-2019. METHODS: Aerosol optical properties such as aerosol optical depth (AOD) at 500 nm, Angstrom exponent (AE), fine mode fraction (FMF) of AOD at 500 nm and single scattering albedo (SSA) at 440 nm were obtained from the Aerosol Robotic Network (AERONET) station operating in Kanpur from the 1st March to the 30th April for 2017-2020. RESULTS: A significant decrease in aerosol loading was observed during the shutdown period compared to the pre-and partial shutdown periods in 2020 as well as during the same time periods of 2017-2019. Mean AOD, FMF and SSA were 0.37, 0.43 and 0.89, respectively, during the shutdown period in 2020. A 20-35% reduction in mean AOD levels was observed during the shutdown period in 2020 as compared to the same period in 2017-2019. CONCLUSIONS: The shutdown led to an improvement in air quality due to decreases in anthropogenic emissions. As fine particles, typically from urban and industrial emissions, dominate episodic air pollution events, this study can be further utilized by the scientific community and regulators to strengthen the emergency response action plan to check high pollution episodes in Kanpur city until cleaner technologies are in place. COMPETING INTERESTS: The authors declare no completing financial interests.

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