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                <text>Sinha A.; Ramdas R.; Pradeep K.V.</text>
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                <text>Asian Case Research Journal, Vol-26, No. 2, pp. 127-144.</text>
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                <text>Sinha A., ICFAI Foundation for Higher Education, Telangana, Hyderabad, India; Ramdas R., School of Business and Management, Christ (Deemed to be University), Karnataka, Bengaluru, India; Pradeep K.V., Jain (Deemed-to-be University), Kerala, Kochi, India</text>
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                <text>Design and optimization of three class object detection modalities for manufacturing steel surface fault diagnosis and dimensionality classification</text>
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                <text>Dimensionality classification; Fault diagnosis; Modalities; Object detection; Optimization; Steel surface</text>
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                <text>The main objective of this research is to create and improve three different object identification techniques for identifying surface flaws and categorising dimensions in steel that has been fabricated. RetinaNet, YOLOv3, and Faster R-CNN are the selected modalities in the experiment. The main goal is to evaluate these modalities' ability to detect and classify defects on steel surfaces in terms of accuracy, precision, recall, and F1 score. This assessment makes use of a varied collection of steel surface photos that show different kinds and sizes of faults. Training, validation, and testing sets make up the dataset's partitioning. The training set is used to train and optimise the three modalities, while the testing and validation sets are used to evaluate their performance. According to the study's findings, all three methods provide excellent of 0.92. RetinaNet comes in second with an F1 score of 0.89, followed by YOLOv3 with an F1 score of 0.87, while the Faster R-CNN modality obtains the greatest overall performance with an F1 score.  The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2024.</text>
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                <text>Sinha A.; Sharma V.; Alkhayyat A.; Suman; Kumar B.; Singh N.; Singh A.K.; Pandey S.</text>
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                <text>International Journal of System Assurance Engineering and Management, Vol-15, No. 10, pp. 4947-4965.</text>
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                <text>Sinha A., Computer Science Department, ICFAI Tech School, ICFAI University, Jharkhand, Ranchi, 835222, India; Sharma V., Computer Science Department, Christ University, Bengaluru, 560029, India; Alkhayyat A., College of Technical Engineering, The Islamic University, Najaf, Iraq; Suman, Department of Computer Science, Jagan Institute of Management Studies, Rohini, Delhi, 110085, India; Kumar B., Department of Computer Science and Engineering, Amity University Jharkhand, Jharkhand, Ranchi, 834002, India; Singh N., Department of Information Technology, Bharati Vidyapeeths College of Engineering, Paschim Vihar, Delhi, New Delhi, 110063, India; Singh A.K., Department of Production and Industrial Engineering, Birla Institute of Technology, Mesra, Ranchi, 835215, India; Pandey S., Marwadi University Research Center, Faculty of Management Studies, Marwadi University, Gujarat, Rajkot, 360003, India</text>
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                <text>Smell Technology: Advancements and Prospects in Digital Scent Technology and Fragrance Algorithms</text>
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                <text>fragrance algorithm; innovation; Scent technology; smell technology; virtual reality</text>
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                <text>Smell technology, a rapidly expanding sector of the scent business, aims to digitally replicate and transmit aromas. Its applications include virtual reality, e-commerce, and healthcare. Recent advances in the field include the creation of smell algorithms and the use of artificial intelligence to create more realistic fragrances. Fragrance algorithms are mathematical models that predict the scent of a fragrance based on its chemical composition. They might be used to the perfume industry to streamline the production of perfumes and do away with the need for expensive trial-and-error methods. Artificial intelligence is also being used to create digital representations of fragrances that closely resemble the real thing by analysing the chemical composition of actual odours. A possible benefit of this technology in the healthcare sector is that synthetic odours may mimic the scents of diseases and aid physicians in making more precise diagnoses. Additionally, some companies are developing small devices that can be connected to computers or mobile devices to emit odours on demand, providing users of virtual reality, gaming, and online shopping with a more realistic experience. In spite of these advancements, it is still exceedingly challenging to recreate the complexity of natural scents, which can include hundreds of different components. With more research and development, there is still a tonne of promise for fragrance technology in the future.  2023 IEEE.</text>
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                <text>Sinha A.; Sharma V.; Gupta M.; Rao G.M.; Raj A.; Kumari A.; Alkhayyat A.</text>
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                <text>2023 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>&lt;a href="https://doi.org/10.1109/ICCCNT56998.2023.10306663" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICCCNT56998.2023.10306663&lt;/a&gt;
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                <text>Sinha A., Ignou, Department of Computer Science and Information Technology, New Delhi, India; Sharma V., Christ University, Institute of Information Technology, India; Gupta M., Rungta College of Engineering and Technology, Department of Physics, CG, Bhilia, India; Rao G.M., Koneru Lakshmaiah Education Foundation, India; Raj A., Galgotias University, School of Computing Science and Engineering, Greater Noida, India; Kumari A., Rkdf University, India; Alkhayyat A., The Islamic University, College of Technical Engineering, Najaf, Iraq</text>
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                <text>The present paper is an inquiry into the role of the teacher in the context of the dominant Indian value system, an imposed curriculum and teacher-students interactions from the social psychological and critical interdisciplinary perspectives. The role of the school in the present modernist worldview is to frame and impart knowledge which may lead to economic growth. In this context, the role of the teacher is observed as being limited to a bearer of information rather than a leader who visualizes change and develops critical ability among students. Based on the theoretical framework of postformalism and collective/social identity, the current work argues that the role of the teacher is not limited to passively following and communicating mainstream values but involves constructing a new participative identity through critical pedagogical engagement and by acting as an active agent of social change.  Institute for Research in Social Communication, Slovak Academy of Sciences.</text>
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                <text>The illusion of social class identity and academic performance: Exploring the role of father education as an indicator of socioeconomic status</text>
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                <text>The academic achievement of low social class students has been attributed to lack of ability and their socioeconomic Status (SES). However, a recent meta-analysis reported decreasing relationship between SES and academic achievement in the U.S. population (Sirin, 2005). The present study attempted to explore the relationship between social class identity processes and academic performance in an Indian context. The study took students' self report on all indicators of SES and separated high and low social class students on the basis of their fathers' education. The result showed that social class based identity process has less important role in explaining the existing academic achievement gap. Thus the need arises to explore other identities that may collaborate with the social class identity in an educational domain.</text>
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                <text>Sinha C.; Mishra A.K.</text>
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                <text>Journal of Psychological and Educational Research, Vol-22, No. 1, pp. 34-56.</text>
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                <text>Universitatea din Oradea</text>
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                <text>Restricted Access</text>
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                <text>ISSN: 22471537</text>
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                <text>Sinha C., Christ University, Department of Psychology, Bangalore, Hosur Road, India; Mishra A.K., Jawaharlal Nehru University, Department: Zakir Husain Centre for Educational Studies, New Delhi, India</text>
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                <text>Efficacy of Artificial Neural Networks (ANN) as a Tool for Predictive Analytics</text>
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              <elementText elementTextId="153842">
                <text>Artificial Neural Network (ANN); Decision-making; Forecasting; Output prediction; Predictive analytics</text>
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                <text>Predictive analytics could also be defined as the application of statistical techniques and mathematical modeling to anticipate the future performance and expected return on investments. Predictive analytics examines the most recent and the historical data to see if the same pattern is likely to reoccur or not. This gives an opportunity to businessmen and financial investors to make an appropriate decision about their investments and expected returns. Ever since the development of ANN technique, researchers have tried to create a number of predictive models using ANN. The chapter is focused on defining predictive analytics and the tools used in predictive analytics, with a special orientation on Artificial Neural Networks. The objective of the chapter is to establish ANN as an effective technique for making appropriate predictions and thereby contributing toward the decision-making in various spheres using the outcomes from various researches. The chapter also aims to explain the step-by-step process of ANN in outcome prediction with the help of example.  The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.</text>
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              <elementText elementTextId="153844">
                <text>Sinha D.; Sarangi P.K.; Sinha S.</text>
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                <text>Analytics Enabled Decision Making, pp. 123-138.</text>
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              <elementText elementTextId="153846">
                <text>Springer Nature</text>
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                <text>&lt;a href="https://doi.org/10.1007/978-981-19-9658-0_6" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-19-9658-0_6&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171511956&amp;amp;doi=10.1007%2F978-981-19-9658-0_6&amp;amp;partnerID=40&amp;amp;md5=d1fa562df36d8892ada5af694bd85888" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171511956&amp;amp;doi=10.1007%2f978-981-19-9658-0_6&amp;amp;partnerID=40&amp;amp;md5=d1fa562df36d8892ada5af694bd85888&lt;/a&gt;</text>
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              <elementText elementTextId="153849">
                <text>Restricted Access</text>
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                <text>ISBN: 978-981199658-0; 978-981199657-3</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="153854">
                <text>Sinha D., CHRIST (Deemed to be University), Delhi NCR, India; Sarangi P.K., Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India; Sinha S., CHRIST (Deemed to be University), Delhi NCR, India</text>
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                  <text>Book Chapter</text>
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      <name>Book Chapter</name>
      <description>Faculty Publications- Book Chapter</description>
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      <elementSet elementSetId="1">
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="143273">
                <text>Decoding the alchemy of employee retention: A case of the manufacturing sector of the National Capital Region, India</text>
              </elementText>
            </elementTextContainer>
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            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="143274">
                <text>The ability of a company to retain its staff is referred to as employee retention. It may also be referred to as a decrease in employee attrition or employee turnover rate. Employee retention is one such mechanism which ensures that the human capital stays with the organisation for a longer duration. The study focusses on identifying the drivers of employee retention in the manufacturing industry with respect to certain factors such as mentoring, career development, work environment, job autonomy, and compensation. This research has used the descriptive research design with some elements of exploratory research design. The sample size for the study was 122. Primary data has been collected with the help of a prevalidated questionnaire with multiple-choice closed-ended questions on a five-point Likert scale. The collected data was analysed using Excel and SPSS with statistical tools like T-test, ANOVA, multiple linear regression, etc. A direct positive relation has been found between mentoring, work environment and compensation, and the employees' intention to stay.  2024, IGI Global.</text>
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                <text>Sinha D.; Sinha S.; Jain S.</text>
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                <text>Global Practices on Effective Talent Acquisition and Retention, pp. 77-95.</text>
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              <elementText elementTextId="143277">
                <text>IGI Global</text>
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                <text>&lt;a href="https://doi.org/10.4018/979-8-3693-1938-3.ch005" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.4018/979-8-3693-1938-3.ch005&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197750046&amp;amp;doi=10.4018%2F979-8-3693-1938-3.ch005&amp;amp;partnerID=40&amp;amp;md5=e4d06ce5404b33f4da7fb2e4a173de49" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197750046&amp;amp;doi=10.4018%2f979-8-3693-1938-3.ch005&amp;amp;partnerID=40&amp;amp;md5=e4d06ce5404b33f4da7fb2e4a173de49&lt;/a&gt;</text>
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                <text>ISBN: 979-836931939-0; 979-836931938-3</text>
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                <text>Sinha D., Christ University, India; Sinha S., Christ University, India; Jain S., Kotak Life Insurance, India</text>
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      <description>Faculty Publications -Articles</description>
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          <element elementId="50">
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            <description>A name given to the resource</description>
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              <elementText elementTextId="76090">
                <text>OTT Enchantment: Decoding the Secret of Millennials Subscription Intentions</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="76091">
                <text>Continuance Intention; Millennials; OTT; Purchase Intention; Subscription Intention; U&amp;amp;G Theory</text>
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              <elementText elementTextId="76092">
                <text>This study explores the factors that affect intention and choices of millennials for subscription of Over-The-Top (OTT) platforms. The study involved a mixed-methods approach, involving exploratory and descriptive design. The outcome of the study showed that there is a profound impact of demographic variables on the subscription intention. Results also indicated that factors like convenient navigation, information seeking, and bingewatching impacted respondents attitudes towards purchasing OTT subscriptions. Moreover, factors like relaxation and voyeurism impacted respondents attitudes towards continuing OTT subscriptions. The research findings will be helpful for OTT companies to implement new distribution strategies with mobile operators to launch novel services like mobile-only packs and sachet pricing and thereby increase their user base. The study contributes significantly in understanding the viewership and subscription patterns of millennials. The study is exclusively an original contribution of the authors.  2024, Econjournals. All rights reserved.</text>
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              <elementText elementTextId="76093">
                <text>Sinha D.; Sinha S.; Phutela N.; Grover P.</text>
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                <text>International Review of Management and Marketing , Vol-14, No. 6, pp. 119-130.</text>
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                <text>&lt;a href="https://doi.org/10.32479/irmm.17110" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.32479/irmm.17110&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209155163&amp;amp;doi=10.32479%2Firmm.17110&amp;amp;partnerID=40&amp;amp;md5=e7e02d1b1cd589a4dc192ff0804e91e3" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209155163&amp;amp;doi=10.32479%2firmm.17110&amp;amp;partnerID=40&amp;amp;md5=e7e02d1b1cd589a4dc192ff0804e91e3&lt;/a&gt;</text>
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              <elementText elementTextId="76098">
                <text>All Open Access; Gold Open Access</text>
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                <text>Sinha K., Christ (Deemed to Be University), Department of Statistics and Data Science, Bangalore, India; Misra B., Techno International New Town, Department of Computer Science Engineering, Kolkata, India; Chakraborty S., Techno International New Town, Department of Computer Science Engineering, Kolkata, India; Dey N., Techno International New Town, Department of Computer Science Engineering, Kolkata, India</text>
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                <text>To succeed, businesses must keep up with the ever-changing technological landscape and constantly introduce new advancements. The rise of digitalization has wholly transformed how companies interact with their customers, presenting both opportunities and challenges. Marketing professionals are inundated with data and need guidance on leveraging it effectively to craft successful marketing strategies. Additionally, the ethical and privacy concerns surrounding the collection and use of customer data make the marketing landscape even more complex. Improving Service Quality and Customer Engagement With Marketing Intelligence is a groundbreaking book that offers a comprehensive solution to these challenges. This book is a must-read for marketing professionals, business owners, and students, providing a practical guide to navigating the digital age. It explores the impact of digitalization on marketing practices. It offers insights into customer behavior, equipping readers with the knowledge and skills needed to thrive in today's competitive market. The book's interdisciplinary approach integrates insights from marketing, technology, data science, and ethics, giving readers a holistic understanding of marketing intelligence. With its timely and practical approach, Improving Service Quality and Customer Engagement With Marketing Intelligence is a valuable resource for anyone seeking to enhance their marketing efforts in the digital age. It features best practices, case studies, and step-by-step guides, empowering readers to make informed decisions prioritizing customer satisfaction and engagement. Reading this book will help you stay ahead of the curve and drive success in today's dynamic marketing landscape by bridging the gap between academia and industry.  2024 by IGI Global. All rights reserved.</text>
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                <text>The only viral thing today is the Covid 19 virus, which has severely disrupted all the economic activity around globe because of which all the businesses are experiencing irrespective of its domain or country of origin. One such major paradigm shift is contactless business, which has increased digital transaction. This in turn has given hackers and fraudsters a lot of space to perform digital scams line phishing, spurious links, malware downloads etc. These frauds have become undesirable part of increased digital transactions, which needs immediate attention and eradication from the system with instant results. In this pandemic situation where, social distancing is key to restrict the spread of the virus, digital payments are the safest and most appropriate payment method, and it needs to be safe and secure for both the parties. Artificial intelligence can be a saviour in this situation, which can help combat the digital frauds. The present study will focus on the different kinds of frauds which customers and facing, and most possible ways Artificial intelligence can be incorporated to identify and eliminate such kind of frauds to make digital payments more secure. Findings of the study suggest that inclusion of AI did bring a change in the business environment. AI used for entertainment has become an essential part in business. Transfiguration from process to platform focused business. The primary requirement of AI is to study the customer experience and how to give a better response for improving the satisfaction. But recently AIs are used not only for customer support, but its been observed that businesses have taken it as marketing strategy to increase demand and sales.  2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.</text>
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                <text>With governments of different countries having a vision of smart cities, the technology adoption and implementation are at its peak and the current increase in the usage of advanced technology for a smart city has led to an increase in the carbon imprint across the globe, which needs immediate attention for the environment sustainability. Although the Internet of things (IoT)-enabled devices have changed our world by bringing an ease to our lifestyle, it has to be kept under consideration that they also have adverse effects on the environment. Over the past few years, enabling energy conservation via Internet of Things in the growth of smart cities has received a great deal of attention from researchers and industry experts and has paved the way for an emerging field called the green IoT. There are different dimensions of IoT, in which an effective energy consumption is needed to encourage a sustainable environment. This conceptual paper focuses on the key concept of green IoT and sustainability, knowledge of Smart cities' readiness to Green IoT (G-IoT)-enabled sustainable practices, and identifying the Green IoT sustainability practices for smart cities. The Author(s), under exclusive license to Springer Nature Switzerland AG 2021. All rights reserved.</text>
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