671
20
16481
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Dublin Core
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Title
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Book Chapter
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Faculty Publications- Book Chapter
Dublin Core
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Data Ethics
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Cyber-Bullying; Data Fabrication; Data Manipulation; Types of Ethics
Description
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Ethics is all about living an ethical life. As rational beings, humans have always been in the pursuit of ethical life in spite of the contrary temptations. Society and engagement in society are helpful for a person to be ethical. However, it is the choice one makes in critical situations that define the ethical nature of a person. Swarmed by a vast pool of data, the complex nature of ethical decision-making is getting far more complex for human beings with autonomous cognitive faculty. One needs to be conscious and focused to face any dilemma in ones life. Dealing prudently with private and public data and understanding the science of data would help the homo sapiens to prove her/his relevance in this data-driven world. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Shukla S.; George J.P.; Tiwari K.; Kureethara J.V.
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SpringerBriefs in Applied Sciences and Technology, pp. 61-72.
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Springer Science and Business Media Deutschland GmbH
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2022-01-01
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<a href="https://doi.org/10.1007/978-981-19-0752-4_4" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-0752-4_4</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127714809&doi=10.1007%2F978-981-19-0752-4_4&partnerID=40&md5=375bffe91f6a694b7902995a3a4ca32f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127714809&doi=10.1007%2f978-981-19-0752-4_4&partnerID=40&md5=375bffe91f6a694b7902995a3a4ca32f</a>
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ISSN: 2191530X
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Book chapter
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Shukla S., Department of Data Science, Christ University, Karnataka, Bengaluru, India; George J.P., Christ University, Karnataka, Bengaluru, India; Tiwari K., Christ University, Karnataka, Bengaluru, India; Kureethara J.V., Centre for Research, Christ University, Karnataka, Bengaluru, India
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Book Chapter
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Faculty Publications- Book Chapter
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Title
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Data and Its Dimensions
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Data; Data Breach; Data Ownership; Data Science; Theory of Information; Types and Sources of Data
Description
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In current times Data is the biggest economic opportunity. As per the studies, it is observed that the world is becoming 2.5 quintillions data-rich every day, with an average of every human contributing 1.7MB of data per second. Every individual has a good appetite for data, as it gives immense insight to explore and expand the business. With the invention of smart devices and innovation in the field of connectivity such as 4G-5G Mobile Networks and Wi-Fi, the generation and consumption of the data are steadily increasing. These smart devices continuously generate data, leading to a bigger pool for better decision-making. This chapter presents data, the various forms and sources, and the concept of Data Science; it discusses how the ownership and value of data are decided; and also highlights the use, abuse, and overuse of the data along with data theft, and a case study to represent data breach. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Shukla S.; George J.P.; Tiwari K.; Kureethara J.V.
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SpringerBriefs in Applied Sciences and Technology, pp. 1-16.
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Springer Science and Business Media Deutschland GmbH
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2022-01-01
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<a href="https://doi.org/10.1007/978-981-19-0752-4_1" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-0752-4_1</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127672475&doi=10.1007%2F978-981-19-0752-4_1&partnerID=40&md5=2d8194f82e57607e7615e0fea8830925" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127672475&doi=10.1007%2f978-981-19-0752-4_1&partnerID=40&md5=2d8194f82e57607e7615e0fea8830925</a>
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English
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Book chapter
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Shukla S., Department of Data Science, Christ University, Karnataka, Bengaluru, India; George J.P., Christ University, Karnataka, Bengaluru, India; Tiwari K., Christ University, Karnataka, Bengaluru, India; Kureethara J.V., Centre for Research, Christ University, Karnataka, Bengaluru, India
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Book Chapter
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Data Privacy
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Critique of Data Privacy; Data Privacy; Data Privacy Law; Perspectives on Privacy; Value of Privacy
Description
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Data privacy is a private and public phenomenon and its operations have implications for the individual and the society. This understanding of privacy ceases it from being viewed as a simple technological process and highlights different factors that are associated with it. While on one hand, the right to privacy is seen as integral to the freedom of the individual, on the other hand, it is also seen as the ability to hide certain information for malpractice. This chapter delves into this existing dichotomy of data privacy and simplifies various terms and operations that have emerged in the field of study. A discussion is facilitated on the concept and its associated areas. The chapter looks at privacy regimes in different countries to note emerging developments and also presents a critique of the practice to bring forth shortcomings and enable change. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Shukla S.; George J.P.; Tiwari K.; Kureethara J.V.
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SpringerBriefs in Applied Sciences and Technology, pp. 17-39.
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Springer Science and Business Media Deutschland GmbH
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2022-01-01
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<a href="https://doi.org/10.1007/978-981-19-0752-4_2" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-0752-4_2</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127624470&doi=10.1007%2F978-981-19-0752-4_2&partnerID=40&md5=ebb25135f9370afab1de28b6bf9ec7a5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127624470&doi=10.1007%2f978-981-19-0752-4_2&partnerID=40&md5=ebb25135f9370afab1de28b6bf9ec7a5</a>
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ISSN: 2191530X
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Online
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English
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Book chapter
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Shukla S., Department of Data Science, Christ University, Karnataka, Bengaluru, India; George J.P., Christ University, Karnataka, Bengaluru, India; Tiwari K., Christ University, Karnataka, Bengaluru, India; Kureethara J.V., Centre for Research, Christ University, Karnataka, Bengaluru, India
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Editorials
Editorial
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Preface
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[No abstract available]
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Shukla S.; George J.P.; Tiwari K.; Kureethara J.V.
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SpringerBriefs in Applied Sciences and Technology, pp. v-vii.
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Springer Science and Business Media Deutschland GmbH
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2022-01-01
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<a href="" target="_blank" rel="noreferrer noopener"></a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127620323&partnerID=40&md5=22f49685d704d7da4f5c26016d515990" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127620323&partnerID=40&md5=22f49685d704d7da4f5c26016d515990</a>
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Online
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English
Type
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Editorial
Coverage
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Shukla S., Department of Data Science, Christ University, Karnataka, Bengaluru, India; George J.P., Christ University, Karnataka, Bengaluru, India; Tiwari K., Christ University, Karnataka, Bengaluru, India; Kureethara J.V., Centre for Research Christ University, Karnataka, Bengaluru, India
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Conference Papers
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Challenges of Digital Transformation in Education in India
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Alternative Learning; Covid-19; Ed-tech; ICT; Machine Learning; Online Learning; Teaching-Learning Methodology
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Online learning has been present since the 1960s and has risen in popularity over time. World-class universities have been using online teaching-learning methodologies to fulfill the needs of students who reside far away from academic institutions for more than a decade. Many people predicted that online education would be the way of the future, but with the arrival of COVID-19, online education was imposed upon stakeholders far sooner and more suddenly than expected. When the COVID-19 pandemic broke out, educational institutions began to explore digital ways to keep students studying even when they couldn't be together in person as governments enacted legislation prohibiting large groups of people from gathering for any reason, including education. The future of such a transition looks promising. However, transitioning from one mode of education to another is not easy. Historically, when educators adopt new tools, learning still continues in the conventional manner. Based on the responses of 176 students, this paper studies the challenges of Digital transformation in the Education sector. The research is extremely beneficial in evaluating the scope of societal opposition to change. 2022 IEEE.
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Shukla S.; Jacob L.
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Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022, pp. 2540-2544.
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Institute of Electrical and Electronics Engineers Inc.
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2022-01-01
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<a href="https://doi.org/10.1109/ICAC3N56670.2022.10074462" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICAC3N56670.2022.10074462</a>
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ISBN: 978-166547436-8
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Online
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English
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Conference paper
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Shukla S., Christ Deemed to Be University, Department of Data Science, Pune, India; Jacob L., Christ Deemed to Be University, Department of Data Science, Pune, India
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Conference Papers
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Emotion Detection Using Machine Learning Technique
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Deep learning; Facial emotion recognition (FER); Facial expressions; Semi-supervised learning; Traditional classification methods
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Face Emotion Recognition (FER) is an emerging and crucial topic today; since much research has been done in this field, there are still many things to explore. In daily life, where people dont have time to fill out feedback, emotion detection plays an important role, which helps to know customer feedback by analyzing expressions and gestures. Analyzing current studies in emotion recognition demonstrates notable advancements made possible by deep learning. A thorough overview of facial emotion recognition (FER) is provided in this publication. The literature cited in this study is taken from various credible research published in the last 10years. This study has built a model for emotion recognition using photos or a camera. The paper is based on the concepts of Machine Learning (ML), Deep Learning (DL), and Neural Networks (NN). A range of publicly available datasets have been used to evaluate evaluation metrics. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
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Shukla S.; Lucas Y.
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Lecture Notes in Networks and Systems, Vol-922 LNNS, pp. 547-557.
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Springer Science and Business Media Deutschland GmbH
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2024-01-01
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<a href="https://doi.org/10.1007/978-981-97-0975-5_48" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-0975-5_48</a>
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ISSN: 23673370; ISBN: 978-981970974-8
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Online
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English
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Conference paper
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Shukla S., Christ University, Bengaluru, India; Lucas Y., Christ University, Bengaluru, India
-
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Book Chapter
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Data: An Anchor for Decision- Making to Build the Future Workforce Management System
Description
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In this digital era, the change in business environments and the nature of work lead to skill gaps. Training the workforce on desired skill sets must fill these skill gaps. Data play a crucial role in identifying the skills needed and helping organizations to plan the future workforce. Data is essential for any organizations growth and success in the dynamic market. Knowing the skill set in advance allows organizations and individuals to plan the business and skill requirements well. The way work is done may be impacted by these structural changes as the world is changing swiftly. Building the abilities necessary for the uncertain environments of the present and future environments is also crucial for training the employees. However, such skills must first be acknowledged and appreciated before being developed. Empirical data must support the methodology for valuing such abilities and skills. This chapter outlines the significance of data in skill identification for individuals to be future-ready. Finding the most relevant abilities in a given environment is the first step toward their formalization and acceptance at the systems level. It also presents the importance of creating skill matrices for students and organizations. The skill matrix objectively quantifies skill value for specific occupations and the possible trajectories to acquire those skill sets. This metric will allow policymakers to navigate this fast-changing workforce landscape and focus resources to ensure that skills are needed as students transition into the workforce and have skills that enable them to transition. 2024 selection and editorial matter, Alex Khang, Sita Rani, Rashmi Gujrati, Hayri Uygun, and Shashi Kant Gupta; individual chapters, the contributors.
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Shukla S.; Rishiraj A.; Lucas Y.
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Designing Workforce Management Systems for Industry 4.0: Data-Centric and AI-Enabled Approaches, pp. 65-83.
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CRC Press
Date
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2023-01-01
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<a href="https://doi.org/10.1201/9781003357070-5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003357070-5</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173886314&doi=10.1201%2F9781003357070-5&partnerID=40&md5=b377968065858b0c71e6f2177d041b9b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173886314&doi=10.1201%2f9781003357070-5&partnerID=40&md5=b377968065858b0c71e6f2177d041b9b</a>
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ISBN: 978-100092334-6; 978-103240824-8
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Online
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English
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Book chapter
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Shukla S., CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Rishiraj A., CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Lucas Y., CHRIST (Deemed to be University), Karnataka, Bengaluru, India
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Conference Papers
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A distributed randomization framework for privacy preservation in big data
Subject
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Anonymization; Confidentiality; Packetization; Privacy; Secure Multi-Party Computation (SMC); Security; Trusted third party (TTP)
Description
An account of the resource
The privacy preservation is a big challenge for data generated from various sources such as social networking sites, online transaction, weather forecast to name a few. Due to the socialization of the internet and cloud computing pica bytes of unstructured data is generated online with intrinsic values. The inflow of big data and the requirement to move this information throughout an organization has become a new target for hackers. This data is subject to privacy laws and should be protected. The proposed protocol is one step toward the security in case of above circumstances where data is coming from multiple participants and all are concerned about individual privacy and confidentiality. 2014 IEEE.
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Shukla S.; Sadashivappa G.
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Proceedings of the 2014 Conference on IT in Business, Industry and Government: An International Conference by CSI on Big Data, CSIBIG 2014
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Institute of Electrical and Electronics Engineers Inc.
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2014-01-01
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<a href="https://doi.org/10.1109/CSIBIG.2014.7056940" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/CSIBIG.2014.7056940</a>
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ISBN: 978-147993063-0
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Online
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English
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Conference paper
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Shukla S., Department of Computer Science, Christ University, Bangalore, India; Sadashivappa G., R v College of Engineering, Mysore Road, Bangalore-59, India
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Conference Papers
Conference Paper
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Secure multi-party computation protocol using asymmetric encryption
Subject
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Anonymization; Asymmetric Encryption; Privacy; Secure Multi-Party Computation (SMC); Security; trusted third party (TTP)
Description
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Privacy preservation is very essential in various real life applications such as medical science and financial analysis. This paper focuses on implementation of an asymmetric secure multi-party computation protocol using anonymization and public-key encryption where all parties have access to trusted third party (TTP) who (1) doesn't add any contribution to computation (2) doesn't know who is the owner of the input received (3) has large number of resources (4) decryption key is known to trusted third party (TTP) to get the actual input for computation of final result. In this environment, concern is to design a protocol which deploys TTP for computation. It is proposed that the protocol is very proficient (in terms of secure computation and individual privacy) for the parties than the other available protocols. The solution incorporates protocol using asymmetric encryption scheme where any party can encrypt a message with the public key but decryption can be done by only the possessor of the decryption key (private key). As the protocol works on asymmetric encryption and packetization it ensures following: (1) Confidentiality (Anonymity) (2) Security (3) Privacy (Data). 2014 IEEE.
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Shukla S.; Sadashivappa G.
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2014 International Conference on Computing for Sustainable Global Development, INDIACom 2014, pp. 780-785.
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IEEE Computer Society
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2014-01-01
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<a href="https://doi.org/10.1109/IndiaCom.2014.6828069" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IndiaCom.2014.6828069</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84903837467&doi=10.1109%2FIndiaCom.2014.6828069&partnerID=40&md5=fa0104d10f3648d72eab338c09868f49" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-84903837467&doi=10.1109%2fIndiaCom.2014.6828069&partnerID=40&md5=fa0104d10f3648d72eab338c09868f49</a>
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ISBN: 978-938054412-0
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Online
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English
Type
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Conference paper
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Shukla S., Christ University, Department of Computer Science and Engineering, Bangalore, India; Sadashivappa G., RV College of Engg, Department of Telecommunication Engineering, Bangalore, India
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Title
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Articles
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Faculty Publications -Articles
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Decoding HERO: Predicting psychological capital with subjective well-being
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HERO; Life satisfaction; Negative affect; Positive affect; Psychological capital; Subjective well-being
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The positive psychology movement has gained momentum in recent years and organizations have ascribed great importance to employee well-being in light of the favorable outcomes associated with it. The widely researched Psychological Capital (PsyCap) has been consistently linked to well-being across a variety of contexts but a gap still exists in literature about what lies to the 'left' of psychological capital. The present study attempts to fill this gap by examining subjective well being components- positive and negative affect and life satisfaction, as potential antecedents of PsyCap. The Academic PsyCap questionnaire, the Positive and Negative Affect Schedule (PANAS) and the Satisfaction with Life Scale (SWLS) were administered to participants. Results confirmed the expected associations between affect and PsyCap-positive affect positively predicted PsyCap and its four constituents whereas negative affect emerged as a negative predictor of PsyCap and its dimensions. Life satisfaction positively predicted only individuals' total hope scores. Thus, highlighting the role of subjective well-being components as antecedents of PsyCap, these findings suggest that promoting higher positive affect and lower negative affect can do more than just make individuals feel good, rather, it can bolster their reservoirs of crucial psychological resources as well. 2021 Ecological Society of India. All rights reserved.
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Shukla S.; Saha S.; Shukla R.
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Indian Journal of Ecology, Vol-48, pp. 147-152.
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Ecological Society of India
Date
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2021-01-01
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<a href="" target="_blank" rel="noreferrer noopener"></a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113803873&partnerID=40&md5=0a8cb713dd3a34813903d9bfd70575ca" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113803873&partnerID=40&md5=0a8cb713dd3a34813903d9bfd70575ca</a>
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ISSN: 3045250
Format
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Online
Language
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English
Type
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Article
Coverage
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Shukla S., Department of Psychology, CHRIST (Deemed to be) University, Delhi NCR, 201 003, India; Saha S., Department of Psychology, CHRIST (Deemed to be) University, Delhi NCR, 201 003, India; Shukla R., Department of Psychology, CHRIST (Deemed to be) University, Delhi NCR, 201 003, India
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Title
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Editorials
Editorial
Faculty Publications- Editorial
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Title
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Preface
Description
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[No abstract available]
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Shukla S.; Sayama H.; Kureethara J.V.; Mishra D.K.
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Lecture Notes in Networks and Systems, Vol-922 LNNS, pp. v-vi.
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Springer Science and Business Media Deutschland GmbH
Date
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2024-01-01
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<a href="" target="_blank" rel="noreferrer noopener"></a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197311425&partnerID=40&md5=fbd92c22811b028f3a179a506de88599" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197311425&partnerID=40&md5=fbd92c22811b028f3a179a506de88599</a>
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ISSN: 23673370; ISBN: 978-981970974-8
Format
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Online
Language
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English
Type
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Editorial
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Shukla S., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Sayama H., Binghamton University (CoCo), Binghamton, NY, United States; Kureethara J.V., Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Mishra D.K., School of Computer Science and Information Technology, Symbiosis University of Applied Sciences, Madhya Pradesh, Indore, India
-
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Title
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Editorials
Editorial
Faculty Publications- Editorial
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Title
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Preface
Description
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[No abstract available]
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Shukla S.; Unal A.; Kureethara J.V.; Mishra D.K.; Han D.S.
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Lecture Notes in Networks and Systems, Vol-290, pp. v-vi.
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Springer Science and Business Media Deutschland GmbH
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2021-01-01
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<a href="" target="_blank" rel="noreferrer noopener"></a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115068839&partnerID=40&md5=7ed14e5a566ef66f02727374cb5dee4f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115068839&partnerID=40&md5=7ed14e5a566ef66f02727374cb5dee4f</a>
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ISSN: 23673370; ISBN: 978-981164485-6
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Online
Language
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English
Type
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Editorial
Coverage
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Shukla S., Christ University, Bangalore, India; Unal A., Digital Monozukuri Stanford Alumni, Palo Alto, CA, United States; Kureethara J.V., Christ University, Bangalore, India; Mishra D.K., Computer Science and Engineering Sri Aurobindo Institute of Technology, Indore, Madhya, Pradesh, India; Han D.S., School of Electronics Engineering, Kyungpook National University, Daegu, South Korea
-
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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Title
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Impact of Expert Academic Teaching Quality and its Performance Based on BiLSTM-Deep CNN Network
Subject
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Bidirectional Long Short-Term Memory (LSTM); Convolutional Neural Network (CNN); Information Gain (IG)
Description
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Undergraduate and postgraduate students from eight different departments at a UK institution participated in organized conversations about the impact of teachers' research activities on their education. In both samples, positive responses greatly outnumbered negative ones. There was an increase in positive feedback on professors' research when the overall quantity and quality of research in a specific field (as measured by Research Assessment Exercise [RAE] ratings) improved. Undergraduate samples with higher RAE scores were more likely to have negative feedback on research than graduate student samples. Both graduate and undergraduate students agreed that lecturers' research increased the instructor's credibility, relevance, and knowledge, as well as piqued and maintained their own interest, engagement, and drive. Data processing, feature selection, and model training are the first steps in the proposed approach. The data are changed from their raw form into a form suitable for academic use during the data pre-processing phase. They are employing Information Gain and Symmetric Uncertainty for feature selection. Following the feature selection process, the models are trained using BiLSTM-CNN. Both the BiLSTM and the CNN methods are inferior to the proposed method. 2023 IEEE.
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Shukla T.D.; Acharjee P.B.; Chethan C.; Thulasimani T.; Sindhu M.; Sharma S.
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7th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2023 - Proceedings, pp. 895-900.
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Institute of Electrical and Electronics Engineers Inc.
Date
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2023-01-01
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<a href="https://doi.org/10.1109/ICECA58529.2023.10395690" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICECA58529.2023.10395690</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186121150&doi=10.1109%2FICECA58529.2023.10395690&partnerID=40&md5=1dd07530ce8c5e424dd1b87fc22ed83e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186121150&doi=10.1109%2fICECA58529.2023.10395690&partnerID=40&md5=1dd07530ce8c5e424dd1b87fc22ed83e</a>
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ISBN: 979-835034060-0
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Online
Language
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English
Type
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Conference paper
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Shukla T.D., University Institute of Teachers Training & Research, Chandigarh University, Mohali, India; Acharjee P.B., CHRIST University, Pune, India; Chethan C., Sri Venkateshwara College of Engineering, Department of Information Science and Engineering, Bengaluru, India; Thulasimani T., Bannari Amman Institute of Technology, Department of Mathematics, Tamilnadu, Sathyamangalam, India; Sindhu M., Prince Shri Venkateshwara Padmavathy Engineering College, Department of Computer Science and Engineering, Chennai, India; Sharma S., Madhav Institute of Technology and Science, Department of IT, Madhya Pradesh, Gwalior, India
-
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
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Title
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Predicting Work Environment and Job Environment Among Employees using Transfer Learning Approach
Subject
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Environmentally Positive Behavior(EPB); Job S atisfaction; Organizational Citizenship Behavior (OCB)
Description
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Today's enterprises face numerous challenges as a result of the world's rapid evolution. Maintaining a content workforce is crucial to a company's success and survival in today's fast-paced business environment. The efficacy, productivity, efficiency, and dedication of the company's staff are directly associated with the company's capacity to meet the needs of its employees in the workplace. The focus of this system is to identify the factors that contribute to a satisfying work environment for the participants. Preprocessing, feature selection, and model training are the first three steps in the suggested methodology. Data mining systems should get in the habit of normalizing data as a preliminary processing step. The multiple elements assessing company culture and worker satisfaction were consolidated using Principal Components Analysis (PCA) in the feature selection phase. Once features have been selected, KNN-SVM is utilized for model training. When compared to the two most popular alternatives, SVM and KNN, the proposed technique performs better. 2023 IEEE.
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Shukla T.D.; Giri P.; Rana P.; Krishna V.P.; Thulasimani T.; Vanisri S.
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2nd International Conference on Automation, Computing and Renewable Systems, ICACRS 2023 - Proceedings, pp. 771-776.
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Institute of Electrical and Electronics Engineers Inc.
Date
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2023-01-01
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<a href="https://doi.org/10.1109/ICACRS58579.2023.10404165" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICACRS58579.2023.10404165</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185383619&doi=10.1109%2FICACRS58579.2023.10404165&partnerID=40&md5=8c532fa188bb9a8b74c8b1c708ef2b16" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185383619&doi=10.1109%2fICACRS58579.2023.10404165&partnerID=40&md5=8c532fa188bb9a8b74c8b1c708ef2b16</a>
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ISBN: 979-835034023-5
Format
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Online
Language
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English
Type
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Conference paper
Coverage
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Shukla T.D., University Institute of Teachers Training and Research, Chandigarh University, Mohali, India; Giri P., School of Business and Management, Christ (Deemed to be University,), Delhi NCR, India; Rana P., Department of MBA, School of Commerce and Management, IIMT University, Meerut, India; Krishna V.P., School of Management and Commerce, Malla Reddy University, Hyderabad, India; Thulasimani T., Department of Mathematics, Bannari Amman Institute of Technology, Tamilnadu, India; Vanisri S., Department of MCA, M.Kumarasamy College of Engineering, TamilNadu, Karur, India
-
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Title
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Faculty Publications
Book Chapter
Faculty Publications- Book Chapter
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Shukla, Ananya; Pundhir, Shiv Kumar Singh
Title
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Harnessing the power of digital transformation to promote sustainable growth enabling companies and societies to build a durable and inclusive future
Date
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01-01-2025
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Sustainable Development Goals (SDG) and Its Intersection With Health and Well-Being;pp.233-263
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<a href="https://doi.org/10.4018/979-8-3693-9755-8.ch009" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-9755-8.ch009</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105008837588?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105008837588?origin=resultslist</a>
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Shukla A., Christ University, India; Pundhir S.K.S., Christ University, India
Description
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This chapter explores the critical role of digital transformation in fostering sustainable development across various industries. It highlights how advanced technologies such as the Internet of Things, artificial intelligence, and big data analytics enhance environmental sustainability by improving operational efficiency and enabling informed decision-making. Key issues discussed include the connections between digital transformation and environmental sustainability, as well as the challenges organizations face during implementation. The chapter includes case studies demonstrating the successful use of digital technologies to address environmental challenges like air and water pollution and promote resource conservation. It emphasizes the importance of ethical leadership and stakeholder engagement in guiding digital initiatives toward genuine sustainability goals. Finally, the chapter presents a comprehensive framework for leveraging digital transformation to encourage sustainable behaviors and achieve global sustainability objectives. 2025, IGI Global Scientific Publishing. All rights reserved.
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IGI Global
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ISBN: 979-836939757-2; 979-836939755-8;
Language
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English
Type
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Book chapter
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Restricted Access; Hardcopy may be available in the library
-
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Title
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Faculty Publications
Book Chapter
Faculty Publications- Book Chapter
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Shukla, Anshika; Kaur, Jasmine
Title
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Impact of brand perception, brand credibility, and product knowledge on consumer loyalty
Date
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01-01-2025
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Brand Creation and Management in the Phygital Era;pp.341-364
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<a href="https://doi.org/10.4018/979-8-3373-0948-4.ch013" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-0948-4.ch013</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105009975147?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105009975147?origin=resultslist</a>
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Shukla A., Christ University, India; Kaur J., Christ University, India
Description
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This chapter aims to examine and explain the impact of brand perception, credibility and product knowledge on customer loyalty.A strong brand is very crucial for differentiation, establishing an emotional and positive relationship with customers and driving growth in such competitive and saturated market. Brand is more than a product or a service, its always showcase the stories and have lots of memories that drive the customer trust and loyalty towards brand. Though brand loyalty influenced by complex factors, including cognitive, affective and behavioral dimensions in order to understand dynamics of brand loyalty and how businesses might do effective branding initiatives that resonate with customers . This study investigates the complex relationship between brand image, identity, trust and product knowledge and their impact on customer satisfaction, loyalty and retention. The findings of this chapter will provide valuable insights to marketers and practitioners seeking to enhance brand loyalty and drive business growth. 2025, IGI Global Scientific Publishing.
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IGI Global
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ISBN: 979-833730950-7; 979-833730948-4;
Language
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English
Type
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Book chapter
Rights
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Restricted Access; Hardcopy may be available in the library
-
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Title
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Faculty Publications
Article
Faculty Publications -Articles
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Shukla, Anshuman; Mukherjee, Sayan; Ray, Ipsita
Title
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Women in security services: a (post)feminist reading of Lt Col Nitisha v Union of India
Date
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01-01-2025
Source
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Indian Law Review;Volume;9;Issue;3;pp.367-385
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<a href="https://doi.org/10.1080/24730580.2025.2541511" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/24730580.2025.2541511</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105012467868?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105012467868?origin=resultslist</a>
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Shukla A., Jindal Global Law School, O.P. Jindal Global University, Sonipat, India; Mukherjee S., Jindal Global Law School, O.P. Jindal Global University, Sonipat, India; Ray I., School of Law, Christ University, Bangalore, India
Description
An account of the resource
The role of women in Indian security services was debated in the recent judgement, Lt Col Nitisha v Union of India. The Supreme Court invalidated the impugned selection criteria and their retrospective application upon female staff as instances of indirect discrimination. This case note identifies three major implications regarding the gendered nature of the debate. Firstly, the Courts findings reveal that the government adopted certain strategic modes of postfeminist governmentality to utilize the discourse of women empowerment for departmental ends. Secondly, popular readings of the judgement risk being reduced to postfeminist cultural sensibilities, which romanticize individualistic agency and manufacture isolated struggling heroes to eventually dull the cross-sectoral feminist solidarity. Lastly, the Courts progressive doctrinal turn still construed women officials as mere employees-beneficiaries mostly claiming careerist interests. It abandoned any holistic appraisal of the role of women in military service, thereby articulating an impoverished account of female agency, dignity, and personhood. 2025 Informa UK Limited, trading as Taylor & Francis.
Subject
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dignity rights; Ethics of care; feminist solidarity; indirect discrimination; military and security services; postfeminism; realism
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Routledge
Relation
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ISSN: 24730580;
Language
A language of the resource
English
Type
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Article
Rights
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Restricted Access; Hardcopy may be available in the library
Format
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online
-
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Title
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Faculty Publications
Article
Faculty Publications -Articles
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Shukla, Garima; Rastogi, Ayushi; S, Supriya; Hegde, Gurumurthy; Manohar, Rajiv
Title
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Photoaligned nematic liquid crystals doped with palladium-immobilised carbon nanospheres for advanced low-voltage display and energy storage devices
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2026
Source
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Journal of Materials Chemistry C;Volume;14;Issue;16;pp.6743-6755
Identifier
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<a href="https://doi.org/10.1039/d5tc04092b" target="_blank" rel="noreferrer noopener">https://doi.org/10.1039/d5tc04092b</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105031524121?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105031524121?origin=resultslist</a>
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Shukla G., Liquid Crystal Research Laboratory, Department of Physics, University of Lucknow, Uttar Pradesh, Lucknow, 226007, India; Rastogi A., Liquid Crystal Research Laboratory, Department of Physics, University of Lucknow, Uttar Pradesh, Lucknow, 226007, India, Amity School of Applied Sciences, Amity University, Karnataka, Bengaluru, 562110, India; S S., Department of Chemistry, B. M. S. College of Engineering, Bull Temple Road, Karnataka, Bengaluru, 560019, India, Centre for Nanomaterials & Displays, B. M. S. College of Engineering, Bull temple Road, Karnataka, Bengaluru, 560019, India; Hegde G., Department of Chemistry, Christ University, Hosur Road, Bengaluru, 560029, India, Adindistech Private Limited, Manpho Pavillion Building, Bilekahalli, Bengaluru, 560076, India; Manohar R., Liquid Crystal Research Laboratory, Department of Physics, University of Lucknow, Uttar Pradesh, Lucknow, 226007, India
Description
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This study presents a nematic liquid crystal (NLC), D30-17, doped with palladium-immobilised carbon nanospheres (CNS) Pd/ON10 at two different concentrations. The composites were prepared with 0.1 and 0.4 wt/wt% dopant concentrations and are referred to as Mix 1 and Mix 2, respectively. The palladium-immobilized carbon nanospheres were employed because they function as advanced materials for catalysis and energy applications owing to the catalytic properties of palladium. The sample holder used in this experiment consisted of photo-aligned cells coated with a photosensitive alignment layer, Cibacron brilliant yellow (CBY). The textural studies revealed improved alignment in the doped mixtures. The frequency- and temperature-dependent dielectric behaviour was analysed for the pure and doped systems in both the planar (at 0 V) and homeotropic (at 12 V) states. Dielectric studies showed that the relative permittivity, dielectric loss, and conductivity of the doped material increased with increasing dopant concentration compared with that of pure NLC. Compared with the pure NLC and Mix 2, Mix 1 exhibited greater dielectric anisotropy, leading to a lower threshold voltage. A reversal in the dielectric anisotropy was also observed, which was attributed to the bistable inversion in the CBY alignment layer of the photo-aligned cells. Optical studies indicated that there was no significant shift in wavelength with respect to the dopant concentration. These composites are expected to find applications in liquid-crystal-based electronic and photonic devices. This journal is The Royal Society of Chemistry, 2026
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Royal Society of Chemistry
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ISSN: 20507526; CODEN: JMCCC
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English
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Article
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online
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Shukla, Meenakshi; Upadhyay, Niti; Tripathi, Vishnukant; Kumari, Veena; Pandey, Rakesh
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The Role of Regular Meditation Practice, Trait Mindfulness, and Psychological Characteristics in Affective Startle Modulation: A Psychophysiological Study
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01-01-2026
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Applied Psychophysiology Biofeedback;
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<a href="https://doi.org/10.1007/s10484-026-09782-w" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s10484-026-09782-w</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105034887555?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105034887555?origin=resultslist</a>
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Shukla M., University of Allahabad, Prayagraj, India; Upadhyay N., Banaras Hindu University, Varanasi, India, CHRIST Deemed to be University, Delhi NCR, India; Tripathi V., Banaras Hindu University, Varanasi, India, Gandhi Smarak P.G. College, Jaunpur, India; Kumari V., Brunel University of London, London, United Kingdom; Pandey R., Banaras Hindu University, Varanasi, India
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Meditation practices, including mindfulness, are linked with adaptive emotional processing and regulation. Although startle response modulation among meditators has been studied using habituation and prepulse-induced startle inhibition paradigms, affective startle modulation, which refers to potentiation by negative stimuli and attenuation by positive stimuli (both relative to neutral stimuli), remains unexplored. This study examined how regular meditation practice, dispositional mindfulness, and affective difficulties influence affective modulation of the acoustic startle reflex. Seventeen meditators and thirty non-meditators were exposed to pleasant, neutral, and unpleasant images while their eye-blink startle responses were recorded. Participants also completed self-report measures of dispositional mindfulness, alexithymia, emotion regulation difficulties, depression, anxiety, and stress. Meditators, compared to non-meditators, reported higher dispositional mindfulness, particularly in the Observing and Non-reactivity domains, lower stress, and fewer difficulties in goal-oriented behaviour during negative emotions; they also had longer startle onset latencies, potentially indicating lower state anxiety, across the entire experiment regardless of the valence of visual images. Higher dispositional mindfulness correlated with lower scores on alexithymia, emotion regulation difficulties, depression, anxiety, and stress across the pooled sample. These findings suggest that mindfulness, whether cultivated through meditation or as a trait, reduces negative emotionality, highlighting its potential for emotional regulation and stress reduction. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2026.
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Alexithymia; Dispositional mindfulness; Emotion regulation; Latency to startle onset; Latency to startle peak; Meditators
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Springer
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ISSN: 10900586; CODEN: APSBF
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English
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Article
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Restricted Access; Hardcopy may be available in the library
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online
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Shukla, Samiksha; Sayama, Hiroki; Tiwari, Kapil; Kureethara, Joseph Varghese
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Preface
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01-01-2025
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Lecture Notes in Networks and Systems;Volume;1355 LNNS;pp.v-vi
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<a href="https://www.scopus.com/pages/publications/105010658658?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105010658658?origin=resultslist</a>
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Shukla S., Department of Computer Science and EngineeringCyber Security Dayananda Sagar Academy of Technology and Management, Bangalore, India; Sayama H., (Coco) Binghamton University, Binghamton, NY, United States; Tiwari K., Karnataka, Bengaluru, India; Kureethara J.V., Department of Mathematics Christ (Deemed to be University), Karnataka, Bengaluru, India
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[No abstract available]
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Springer Science and Business Media Deutschland GmbH
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ISSN: 23673370; ISBN: 978-981964882-5;
Language
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English
Type
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Editorial
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Restricted Access; Hardcopy may be available in the library