604
20
16481
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Title
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Faculty Publications
Book Chapter
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Paul, Geofry; Prakash, M.
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Powering the Future: The Role of Solar Energy in Indian Energy Transition
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01-01-2025
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Studies in Systems, Decision and Control;Volume;236;pp.505-512
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<a href="https://doi.org/10.1007/978-3-031-86712-5_44" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-86712-5_44</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105010930262?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105010930262?origin=resultslist</a>
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Paul G., Department of Commerce, Christ University, Bangalore, India; Prakash M., Department of Commerce, Christ University, Bangalore, India
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Energy has become one of the basic human needs, and the expanding population demands more energy for day-to-day needs. As the demand for energy increases, the easy solution for everyone to rely on is the employment of fuel-powered generation systems, which adversely affect the ecology and the environment. In order to address the energy needs of the time without harming the environment, we need considerable investments in the renewable energy sector. Government alone cannot perform this task. A collective effort from government, public, and private investors is required here. Energy conferences like Conferences of Parties (COP) focus on the transition of energy from non-renewable sources to renewable sources and on bringing down the loss of energy during transmission and distribution. This paper current Indian energy sector scenario, suggests solar energy as a solution to Indias energy crisis and discusses the reason behind the lack of motivation for people to invest in solar energy. Addressing these factors can attract more investors to the investment. The research in battery technology and solar panels can help the Indian energy sector focus on energy harvesting and the development of energy-independent systems which will solve the energy crisis to an extent. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
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Energy independence; Energy transition; Renewable energy; Solar panels
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Springer Science and Business Media Deutschland GmbH
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ISSN: 21984182;
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English
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Book chapter
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Title
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Articles
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Powerlessness in the moral self: a social cognitive perspective on drug users
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Drug user; empowerment; moral model; moral psychology; negative identity; social identity; social psychology; social work; stigma
Description
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Powerlessness resides in devalued self-images of drug users. This study, drawing on social and moral psychology, examined the moral functioning of drug users compared to non-drug users. Self-reported data concerning moral identity and moral judgment on drug use were assessed and compared between groups. Drug users appeared to have significantly weaker moral identity centrality and pro-drug moral judgment than non-drug users. They also showed dissociation in the relationship between moral identity and moral judgment. As a result, the study proposed a moral identity model of drug use to better approach social cognitive powerlessness in drug users moral self. 2021 Taylor & Francis Group, LLC.
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Kim D.
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Journal of Social Work Practice in the Addictions, Vol-21, No. 2, pp. 162-178.
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Routledge
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2021-01-01
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<a href="https://doi.org/10.1080/1533256X.2021.1893967" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/1533256X.2021.1893967</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102516740&doi=10.1080%2F1533256X.2021.1893967&partnerID=40&md5=d6b1d78d9f7ed841e5b0f2430edb9505" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102516740&doi=10.1080%2f1533256X.2021.1893967&partnerID=40&md5=d6b1d78d9f7ed841e5b0f2430edb9505</a>
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ISSN: 1533256X
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Online
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English
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Article
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Kim D., Department of Social Work, CHRIST (Deemed to be University), Bengaluru, India
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Title
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Faculty Publications
Book Chapter
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Kumar, Satishchandra; Majumdar, Anjali; Dhulla, Tejal; Kamble, Heena; Ramaswami, Aarti
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Prabhakar Anandrao Bhagwatwar (1934)
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01-01-2025
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Psychology in India: Stories of Eminence;pp.253-257
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<a href="https://doi.org/10.4324/9781003591634-41" target="_blank" rel="noreferrer noopener">https://doi.org/10.4324/9781003591634-41</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105012676710?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105012676710?origin=resultslist</a>
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Kumar S., University Department of Applied Psychology and Counselling Center, University of Mumbai, India; Majumdar A., School of Psychological Sciences, Christ University, Bengaluru, India; Dhulla T., S.P. Jain School of Global Management, Mumbai, India; Kamble H., University Department of Applied Psychology and Counselling Center, University of Mumbai, India; Ramaswami A., ESSEC Business School, France
Description
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This chapter explores the initiatives undertaken by P.A. Bhagwatwar, a notable academic figure at the University of Mumbai, particularly in enhancing the practical application of psychology within the curriculum. It details the inception and development of a counselling centre, which began in 1988 and was officially established in 1995, under Bhagwatwars guidance. The centre provided comprehensive psychological services targeting a diverse range of demographics, from adults to the elderly, addressing issues such as family therapy and vocational guidance. Additionally, he is credited with authoring several influential books on psychology, including titles on general and organizational behaviour, as well as developing key assessment tools, such as aptitude tests and efficiency questionnaires, contributing significantly to the field of applied psychology. 2025 selection and editorial matter, Braj Bhushan; individual chapters, the contributors.
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Taylor and Francis
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ISBN: 978-104036672-1; 978-103296995-4;
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English
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Book chapter
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Title
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Faculty Publications
Book
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Verma, Balraj; Schulze, Mike; Olubiyi, Timilehin Olasoji; Upreti, Kamal
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Practical applications of self-service technologies across industries
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01-01-2025
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Practical Applications of Self-Service Technologies Across Industries;pp.1-572
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<a href="https://doi.org/10.4018/979-8-3373-4667-0" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-4667-0</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105013042738?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105013042738?origin=resultslist</a>
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Verma B., Chitkara Business School, Chitkara University, India; Schulze M., CBS International Business School, Germany; Olubiyi T.O., West Midlands Open University, Nigeria; Upreti K., Christ University, India
Description
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Self-service technologies (SSTs) have practical applications across various industries, improving operational efficiency and customer satisfaction. In retail, self-checkout kiosks and mobile payment apps streamline the purchasing process, reducing waiting times and enhancing convenience. The hospitality industry utilizes SSTs through self-service check-in kiosks and digital concierge services. In healthcare, patients can use self-service portals to schedule appointments, access medical records, and complete pre-visit forms. In banking and finance, ATMs, mobile apps, and AI-powered chatbots offer access to essential services without the need for in-person assistance. These practical implementations demonstrate the versatility and importance of SSTs in modernizing service delivery across sectors. Practical Applications of Self-Service Technologies Across Industries explores self-service technology (SST) as a transformative force across industries. It examines practical applications of SST for improved customer service and business operations. This book covers topics such as smart technology, consumer behavior, and blockchain, and is a useful resource for business owners, computer engineers, academicians, researchers, and data scientists. 2025 by IGI Global Scientific Publishing. All rights reserved.
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IGI Global
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ISBN: 979-833734669-4; 979-833734667-0;
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English
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Book
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Book Chapter
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Practical Benefits of Using AI for More Accurate Forecasting in Mental Health Care
Description
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Artificial Intelligence (AI) is the general term for being able to make computers do things that require human-like intelligence. AI is the novel idea of the computer pioneers like Alan Turning and John von Neumann in the 1940s. Their novel intuition towards making machines think is the key start for this AI technology evolution. As shown in Fig. 1, the first milestone of AI happened in the year 1956 when it was proved by a group of researchers that a machine could solve any problem with the use of an unlimited amount of memory. Here they named this program General Problem Solver (GPS). 2024 Sachi Nandan Mohanty, Preethi Nanjundan and Tejaswini Kar.
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Sujana D.S.; Augustine D.P.
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Artificial Intelligence in Forecasting: Tools and Techniques, pp. 242-265.
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CRC Press
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2024-01-01
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<a href="https://doi.org/10.1201/9781003399292-16" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003399292-16</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195950478&doi=10.1201%2F9781003399292-16&partnerID=40&md5=aacd6cceecfac1a419a2861e8ce7c2d0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195950478&doi=10.1201%2f9781003399292-16&partnerID=40&md5=aacd6cceecfac1a419a2861e8ce7c2d0</a>
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ISBN: 978-104005150-4; 978-103250615-9
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Online
Language
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English
Type
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Book chapter
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Sujana D.S., Department of Computer Science, Christ University, Bangalore, India; Augustine D.P., Department of Computer Science, Christ University, Bangalore, India
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https://archives.christuniversity.in/files/original/02a050cb216b64d8ed0202dcad8d62c8.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
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Patents
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Patent
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Patent
Patent
Patents
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Practices for measuring business in construction engineering organizations /
Subject
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Computer Science
Description
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Patent Number: 202221034683, Applicant: Dr. Anil Zende.
The fundamental drives of every organization are profitability and achievement. The sustainability among these organizations relies on numerous elements that seem to have a substantial influence on performance. Estimating the implementation of sustainability organizations helps to discover weaknesses in terms of enhancing its productivity and profitability. Because of the enormous diversity of construction companies, it is harder for development organizations to develop or sustain a scientific approach for measuring their present effectiveness. Previous research utilized questionnaires and scientific and management consultations.
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Verma, Dippi.
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<a href="https://drive.google.com/file/d/1wyCm8v1TkBm4RsxjKJYbIahx3uTF-QkA/view" target="_blank" title="Practices for measuring business in construction engineering organizations /" rel="noreferrer noopener">https://drive.google.com/file/d/1wyCm8v1TkBm4RsxjKJYbIahx3uTF-QkA/view</a>
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Intellectual Property India
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2022-05-20
Language
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English
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Patent
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Faculty Publications
Article
Faculty Publications -Articles
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Rajan, Santhosh Kareepadath
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Pratixa: A Cognitive Framework for Behavioral Decision-Making and Its Mathematical Formalization
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01-01-2025
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Futures and Foresight Science;Volume;7;Issue;3;Article No.;e70017;
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<a href="https://doi.org/10.1002/ffo2.70017" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/ffo2.70017</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105014633162?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105014633162?origin=resultslist</a>
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Rajan S.K., School of Psychological Sciences, Christ University, Bangalore, India
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The present study introduces pratixa, an internal cognitive structure that functions as a reference architecture guiding human decision-making. Pratixa is a dynamic, event-sensitive archive of anticipated outcomes of behavior, learned event-behavior-outcome associations, and adaptive behavioral responses, drawing on the theories from decision science, psychology, and behavioral adaptation. Past experiences shape pratixa, and iterative learning reinforces it. It supports predictive mental representations by enabling individuals to anticipate the outcomes of their own behavioral responses and adjust those responses when discrepancies arise between anticipated and actual outcomes. Pratixa supports anticipatory learning and real-time correction, making it a future-oriented cognitive structure for decision making. It matures in a spiral progression, from null pratixa, where no prior event-behavior-outcome associations exist, through quixotic pratixa, characterized by illusory or arbitrary associations, to realistic pratixa, where causal relationships are adequately approximated. This spiral maturation reflects how individuals adapt through experiential learning and reinforcement, transitioning from effortful reasoning to increasingly automatic and context-sensitive decision-making. By positioning decision-making within this evolving structure, pratixa offers a distinct perspective on predictive cognition in complex and ambiguous contexts, with implications for strategic foresight, behavioral economics, and adaptive behavioral decision making. The study also proposes a mathematical formulation to represent how this reference architecture evolves through reinforcement-based learning and guides decision-making, providing a computational basis for modeling human foresight and adaptation. 2025 John Wiley & Sons Ltd.
Subject
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behavioral adaptation; behavioral decision-making; cognitive framework; Pratixa; predictive cognition
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John Wiley and Sons Inc
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ISSN: 25735152;
Language
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English
Type
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Article
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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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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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Pre and Post Operative Brain Tumor Segmentation and Classification for Prolonged Survival
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BRATS; CNN; Dense net; EPISURG; Fig-Share; ResNET; TCIA; VGG
Description
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The aim of this research was to provide a detailed overview of the techniques in detecting and segmenting meningioma brain tumor in pre- and post-operative MRI images and classify for presence of meningioma thereby giving an early diagnosis to decrease the death rate. This study examines trending techniques for brain tumour segmentation and classification in Magnetic Resonance (MR) images of pre and post-surgery. For the segmentation and anomalies in the brain categorization, several approaches such as regular machine learning techniques (K-mean bunching, Fuzzy C mean grouping etc.), Deep Learning-based approaches (CNN, ResNET, Dense Net, VGG etc.), classical algorithms (Snake contour, watershed method etc.), and hybridization approaches were applied, according to the analysis. Information base, for example, BRATS, Fig-Share, EPISURG or TCIA can be taken to gather clinical pictures which principally contains of 2 classifications, pre and post pictures of Brain tumor. The multiple processes of brain tumour segmentation methodologies, such as preprocessing, feature extraction, segmentation, and classification, are also explained in this work. The task of segmenting residual and recurrent tumors differs greatly from that of segmenting tumors on baseline scans before surgery. This study shows that each approach has its own set of pros and limitations, as well as notable findings in terms of precision, sensitivity, and specificity, according to the comparison research. The use of segmentation approaches to determine success and reliability has been discovered. 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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Xavier P.S.; Raju G.; Asawthy S.U.
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Lecture Notes in Networks and Systems, Vol-417 LNNS, pp. 608-616.
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Springer Science and Business Media Deutschland GmbH
Date
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2022-01-01
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<a href="https://doi.org/10.1007/978-3-030-96302-6_57" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-030-96302-6_57</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126236124&doi=10.1007%2F978-3-030-96302-6_57&partnerID=40&md5=a70f0c72effd925db9eb82b5008bd511" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126236124&doi=10.1007%2f978-3-030-96302-6_57&partnerID=40&md5=a70f0c72effd925db9eb82b5008bd511</a>
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ISSN: 23673370; ISBN: 978-303096301-9
Format
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Online
Language
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English
Type
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Conference paper
Coverage
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Xavier P.S., Department of Computer Science, CHRIST (Deemed to be) University, Bangalore, India; Raju G., Department of Computer Science, CHRIST (Deemed to be) University, Bangalore, India; Asawthy S.U., Department of Computer Science, JYOTHI Engineering College Cheruthuruthy, Cheruthuruthy, India
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Conference Papers
Conference Paper
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Pre Packaged Insolvency - Exploring An Alternative Framework For Bankruptcy Resolution In India
Description
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This article is a review of literatures on the need for alternative bankruptcy resolution framework in India. The study explores the context & background to the recent initiation of limited Pre-Packaged Insolvency in India. The article makes a strong case for having a private & pre-negotiated mode of debt resolution along with the existing CIRP framework in India. The article provides a comparative perspective of CIRP and Pre-pack driven resolution model in India. The research paper also addresses some of the potential challenges & concerns related to initiation of pre-pack in India & accordingly discusses the relevant safeguards for the same. Lastly, the study also provide a brief view of pre-pack model currently practised in USA. The Electrochemical Society
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Kumar S.; Jain V.
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ECS Transactions, Vol-107, No. 1, pp. 4129-4146.
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Institute of Physics
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2022-01-01
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<a href="https://doi.org/10.1149/10701.4129ecst" target="_blank" rel="noreferrer noopener">https://doi.org/10.1149/10701.4129ecst</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130578261&doi=10.1149%2F10701.4129ecst&partnerID=40&md5=c18526e56da2a71e8913a1bb3251ad5f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130578261&doi=10.1149%2f10701.4129ecst&partnerID=40&md5=c18526e56da2a71e8913a1bb3251ad5f</a>
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ISSN: 19386737; ISBN: 978-160768539-5
Format
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Online
Language
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English
Type
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Conference paper
Coverage
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Kumar S., School Of Business And Management, CHRIST (Deemed To Be University), Maharashtra, Pune, 412112, India; Jain V., School Of Business And Management, CHRIST (Deemed To Be University), Maharashtra, Pune, 412112, India
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Faculty Publications
Article
Faculty Publications -Articles
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Romero, Roberto; Chaemsaithong, Piya; Awonuga, Awoniyi O.; Chaiworapongsa, Tinnakorn; Meyyazhagan, Arun; Kusanovic, Juan Pedro; Vintzileos, Anthony M.
Title
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Pre-operative ultrasound before cesarean delivery: reviewing findings during the first surgical time-out to improve maternal and infant safety
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01-01-2026
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American Journal of Obstetrics and Gynecology;Volume;233;Issue;6;pp.S36-S45
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<a href="https://doi.org/10.1016/j.ajog.2025.10.001" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.ajog.2025.10.001</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105024534117?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105024534117?origin=resultslist</a>
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Romero R., Pregnancy Research Branch, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, United States Department of Health and Human Services, Bethesda, MD, United States, Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor, MI, United States, Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, United States; Chaemsaithong P., Department of Obstetrics and Gynecology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand; Awonuga A.O., Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI, United States; Chaiworapongsa T., Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI, United States; Meyyazhagan A., Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI, United States, Department of Life Sciences, Christ University, Bengaluru, India; Kusanovic J.P., Pontificia Universidad Catica de Chile, Department of Obstetrics and Gynecology, and Sotero del R Hospital, Santiago, Chile; Vintzileos A.M., Department of Obstetrics and Gynecology, Northwell, New Hyde Park, NY, United States, Zucker School of Medicine, Uniondale, NY, United States, Department of Obstetrics and Gynecology, Lenox Hill Hospital, New York, NY, United States
Description
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[No abstract available]
Subject
The topic of the resource
adnexal masses; anterior placenta; breech presentation; cesarean delivery; checklist; fibroids; impacted fetal head; intrapartum ultrasound; ovarian cancer; patient safety; placenta accreta spectrum; placenta previa; transabdominal ultrasound; transvaginal ultrasound; uterine scar dehiscence; varices; vasa previa; WHO
Publisher
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Elsevier Inc.
Relation
A related resource
ISSN: 29378; CODEN: AJOGA
Language
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English
Type
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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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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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Title
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Pre-Service and In-Service Teachers Perceptions of Using Virtual Reality Tools in Teaching
Subject
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Artificial Intelligence; Digital Technology; Educational Technology; Virtual Reality
Description
An account of the resource
This paper explores pre-service and in-service teachers perceptions of virtual reality (VR) technology as a teaching and learning tool in the classroom in India. The study aimed to answer four research questions, including the adoption rate of VR technology among teachers, their confidence levels in teaching using VR technologies compared to digital technologies, attitudes towards using VR technology, and the usefulness of different uses of VR technology. The survey conducted among 102 teachers found limited adoption of VR technology, lower confidence levels in using it, but willingness to use it in the future. The paper recommends providing adequate training and support to increase teachers confidence in using VR technology in their teaching practices. The study also suggests that strategies to promote VR technology should consider gender differences in attitudes towards it. Overall, the research concludes that teachers view VR technology as having potential benefits for learning and teaching across various uses. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
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Prakasha G.S.; Thamaraikannan S.; Lapina M.; Sanskriti R.
Source
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Lecture Notes in Networks and Systems, Vol-1222 LNNS, pp. 340-355.
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Springer Science and Business Media Deutschland GmbH
Date
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2025-01-01
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<a href="https://doi.org/10.1007/978-3-031-78776-8_34" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-78776-8_34</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215528055&doi=10.1007%2F978-3-031-78776-8_34&partnerID=40&md5=a122702956f57ed9c168d51b257b9a27" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215528055&doi=10.1007%2f978-3-031-78776-8_34&partnerID=40&md5=a122702956f57ed9c168d51b257b9a27</a>
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Restricted Access
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ISSN: 23673370; ISBN: 978-303178775-1
Format
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Online
Language
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English
Type
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Conference paper
Coverage
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Prakasha G.S., Christ University, Bangalore, India; Thamaraikannan S., Christ University, Bangalore, India; Lapina M., North-Caucasus Federal University, Stavropol, Russian Federation; Sanskriti R., Christ University, Bangalore, India
-
Dublin Core
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Title
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Faculty Publications
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
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Creator
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Prakasha, G.S.; Thamaraikannan, S.; Lapina, Maria; Sanskriti, Rawat
Title
A name given to the resource
Pre-Service and In-Service Teachers Perceptions of Using Virtual Reality Tools in Teaching
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2025
Source
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Lecture Notes in Networks and Systems;Volume;1222 LNNS;pp.340-355
Identifier
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<a href="https://doi.org/10.1007/978-3-031-78776-8_34" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-78776-8_34</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85215528055?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85215528055?origin=resultslist</a>
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The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Prakasha G.S., Christ University, Bangalore, India; Thamaraikannan S., Christ University, Bangalore, India; Lapina M., North-Caucasus Federal University, Stavropol, Russian Federation; Sanskriti R., Christ University, Bangalore, India
Description
An account of the resource
This paper explores pre-service and in-service teachers perceptions of virtual reality (VR) technology as a teaching and learning tool in the classroom in India. The study aimed to answer four research questions, including the adoption rate of VR technology among teachers, their confidence levels in teaching using VR technologies compared to digital technologies, attitudes towards using VR technology, and the usefulness of different uses of VR technology. The survey conducted among 102 teachers found limited adoption of VR technology, lower confidence levels in using it, but willingness to use it in the future. The paper recommends providing adequate training and support to increase teachers confidence in using VR technology in their teaching practices. The study also suggests that strategies to promote VR technology should consider gender differences in attitudes towards it. Overall, the research concludes that teachers view VR technology as having potential benefits for learning and teaching across various uses. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
Subject
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Artificial Intelligence; Digital Technology; Educational Technology; Virtual Reality
Publisher
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Springer Science and Business Media Deutschland GmbH
Relation
A related resource
ISSN: 23673370; ISBN: 978-303178775-1;
Language
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English
Type
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Conference paper
Rights
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Restricted Access; Hardcopy may be available in the library
-
Dublin Core
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Title
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Faculty Publications
Article
Faculty Publications -Articles
Dublin Core
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Mukku, Lalasa; Lamani, Manjunath Ramanna; Hegde, Lavanya; Mahapurush, Prathima; Mahapurush, Shivanandaswamy
Title
A name given to the resource
Precise cervical cancer cell boundary denoising and segmentation with adaptive wavelet-spectral enhancement
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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International Journal of Advances in Intelligent Informatics;Volume;12;Issue;1;pp.136-164
Identifier
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<a href="https://doi.org/10.26555/ijain.v12i1.2267" target="_blank" rel="noreferrer noopener">https://doi.org/10.26555/ijain.v12i1.2267</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105034406727?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105034406727?origin=resultslist</a>
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Mukku L., CHRIST (Deemed to be University), Bangalore, 560074, India; Lamani M.R., Moodlakatte Institute of Technology, Kundapura, 576217, India; Hegde L., GOVERNMENT SKSJTI, Bangalore, 560001, India; Mahapurush P., SKSVMACET Gadag, India; Mahapurush S., Moodlakatte Institute of Technology, Kundapura, 576217, India
Description
An account of the resource
Accurate segmentation of cell nuclei in cervical cytology images is crucial for automated cervical cancer screening, yet existing methods struggle with blurred boundaries, noise-induced degradation, and topologically implausible predictions. The current research proposes Cell-Seg Tool, a novel triplet-branch diffusion AI tool that synergistically integrates three innovations to address these limitations. The Wavelet-Enhanced Contour Refinement Branch employs a learnable multi-scale discrete wavelet transform with adaptive coefficient attention to dynamically enhance boundary features across horizontal, vertical, and diagonal orientations. The Adaptive Spectral Noise Suppression module performs dual-domain processing using DCT-based filtering and uncertainty-guided fusion, coupled with bidirectional anchor semantic feedback to couple cross-branch information. The Topology-Aware Hybrid Loss integrates a focal Tversky loss, a persistent homology loss, a directional boundary loss, a skeleton completeness loss, and a diffusion-noise MSE loss for multi-objective optimization. Comprehensive experiments on multiple datasets demonstrate superior performance, achieving 94.45% Dice coefficient and 19.2% reduction in boundary localization error compared to state-of-the-art methods. Unlike prior work that applies these techniques independently, this work demonstrates that their adaptive, synergistic integration within a diffusion-based framework yields substantial improvements in boundary accuracy and topological correctness. 2026 The Author(s).
Subject
The topic of the resource
Adaptive wavelet-spectral; Cell boundary denoising; Cervical cancer; Cervical cells; Segmentation enhancement
Publisher
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Universitas Ahmad Dahlan
Relation
A related resource
ISSN: 24426571;
Language
A language of the resource
English
Type
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Article
Rights
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All Open Access; Gold Open Access; Green Open Access
Format
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online
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Articles
Article
Faculty Publications -Articles
Dublin Core
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Title
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Precise surface molecular engineering of 2D-Bi2S3 enables the ultrasensitive simultaneous detection of dopamine, epinephrine, serotonin and uric acid
Subject
The topic of the resource
2D materials; Biosensor; Dopamine; Electrochemical; Epinephrine; Serotonin; Surface engineering; Uric acid
Description
An account of the resource
Multiple biomolecule detection at a single read is an emerging and highly desirable technology in point-of-care diagnostics. Thus, functional nanoscale materials with high precision and stability at an affordable cost are required to fabricate adaptable multiplex biosensing devices with exceptional performance. Herein, an ultrasensitive molecularly engineered 2D-Bi2S3 biosensor is developed via a two-step synthetic approach. Simultaneous detection of dopamine (DA), epinephrine (EP), serotonin (ST), and uric acid (UA) is achieved at the nanomolar level. The surface molecular engineered 2D-Bi2S3 by 4-mercaptobenzoic acid (MBA) exhibits a well crystalline nature and consists of 36 stacked layers with creased-paper-like morphology after an MBA molecule has been precisely linked at the basal plane of Bi2S3. Bi2S3-MBA's surface/vibrational spectroscopic and scanning tunneling microscopic studies demonstrate the Bi2S3-MBA electronic nature and the linked molecule present on the Bi2S3 surface with a comparatively large random distribution of MBA molecules at the basal plane than the edge plane. The density functional theory (DFT) calculation verifies the proposed molecular interaction mechanism. The success of this unique surface molecular engineering strategy, which effectively modified the electronic and surface configuration of the 2D-Bi2S3, offers an exciting possibility for building different variants of the versatile biosensor for real-world diagnostic device applications. 2024
Creator
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Suriyaprakash J.; Thangavelu I.; Huang Y.; Hu Z.; Wang H.; Zhan Y.; Wu L.; Shan L.
Source
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Surfaces and Interfaces, Vol-46
Publisher
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Elsevier B.V.
Date
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2024-01-01
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<a href="https://doi.org/10.1016/j.surfin.2024.104021" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.surfin.2024.104021</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183955053&doi=10.1016%2Fj.surfin.2024.104021&partnerID=40&md5=7bfc79ca43fb3260ed817ddfef1d9e99" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183955053&doi=10.1016%2fj.surfin.2024.104021&partnerID=40&md5=7bfc79ca43fb3260ed817ddfef1d9e99</a>
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Restricted Access
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ISSN: 24680230
Format
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Online
Language
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English
Type
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Article
Coverage
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Suriyaprakash J., Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter, Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, School of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou, 510006, China; Thangavelu I., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Huang Y., Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter, Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, School of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou, 510006, China; Hu Z., Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter, Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, School of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou, 510006, China; Wang H., Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter, Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, School of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou, 510006, China; Zhan Y., Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter, Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, School of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou, 510006, China; Wu L., Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter, Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, School of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou, 510006, China; Shan L., School of Materials Science and Chemical Engineering, Harbin University of Science and Technology, Harbin, 150040, China
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Faculty Publications
Book Chapter
Faculty Publications- Book Chapter
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Prabhu, Srilakshmi; Bharadwaj, Dhanya Y.
Title
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Precision agriculture takes flight: Drone technology in crop management
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2025
Source
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AI, Cybersecurity and Data Science for Drone and Unmanned Aerial Vehicles: Real-Life Applications and Case Studies;pp.42-64
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<a href="https://doi.org/10.1201/9781003481584-2" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003481584-2</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105014488391?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105014488391?origin=resultslist</a>
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Prabhu S., Cambridge Institute of Technology North Campus, India; Bharadwaj D.Y., CHRIST University, India
Description
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[No abstract available]
Publisher
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CRC Press
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ISBN: 978-104039490-8; 978-104039493-9;
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
-
Dublin Core
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Precision Corn Price Prediction with Advanced ML Techniques
Subject
The topic of the resource
Corn Market; Economic Indicators; Forecasting Accuracy; Machine Learning; Price Prediction
Description
An account of the resource
In the ever-evolving corn market, accurate price prediction is imperative for informed decision-making. This research introduces an innovative predictive model that integrates and external factors to enhance forecasting accuracy in the corn market. By exploring historical trends, comparing machine learning algorithms, and employing advanced feature selection methods, the study addresses the complexities of the corn market, emphasizing economic indicators, geopolitical events, and demand-supply dynamics. Informed by a literature review, the research underscores the necessity of dynamic models in corn price forecasting. Utilizing machine learning models such as linear regression, random forest, SVM, Adaboost, and ARIMA, coupled with the interpretability of SHAP values, the study aims to improve prediction accuracy in the corn market. With a robust methodology and comprehensive evaluation metrics (MAE, RMSE, MAPE), the research contributes valuable insights into corn market dynamics, providing a variable dictionary for clarity and emphasizing the strategic implications of the superior random forest model for stakeholders in the corn sector. 2024 IEEE.
Creator
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Gaur S.; Mahajan J.; Sharma M.; Hussain D.; Kakani R.; Saxena A.
Source
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TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024
Publisher
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Institute of Electrical and Electronics Engineers Inc.
Date
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2024-01-01
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<a href="https://doi.org/10.1109/TQCEBT59414.2024.10545288" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/TQCEBT59414.2024.10545288</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204492991&doi=10.1109%2FTQCEBT59414.2024.10545288&partnerID=40&md5=943c6dfb6ae607e4729de70ef0576443" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204492991&doi=10.1109%2fTQCEBT59414.2024.10545288&partnerID=40&md5=943c6dfb6ae607e4729de70ef0576443</a>
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Restricted Access
Relation
A related resource
ISBN: 979-835038427-7
Format
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Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Conference paper
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Gaur S., Christ University, India; Mahajan J., Christ University, Bengaluru, India; Sharma M., Christ University, Bengaluru, India; Hussain D., Christ University, Bengaluru, India; Kakani R., Sg Analytics, Bengaluru, India; Saxena A., Christ University, Bengaluru, India
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Faculty Publications
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Creator
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Abraham, Leo; Joseph, Joshua; Abhilash, Jess Tom; Paul, Abish; Logesh; Shibu, Shine P.; Lonappan, Linu; Elapilla, Manu
Title
A name given to the resource
Precision Farming on Sugarcane: Drone-Based Disease Detection Using YOLOv8 Neural Models
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2025
Source
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2025 IEEE International Conference on Vehicular Technology and Transportation System, ICVTTS 2025;
Identifier
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<a href="https://doi.org/10.1109/ICVTTS67119.2025.11296538" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICVTTS67119.2025.11296538</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105032133063?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105032133063?origin=resultslist</a>
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Abraham L., CHRIST(Deemed to be University), Kengeri Campus, Karnataka, Bengaluru, 560074, India; Joseph J., CHRIST(Deemed to be University), Kengeri Campus, Karnataka, Bengaluru, 560074, India; Abhilash J.T., CHRIST(Deemed to be University), Kengeri Campus, Karnataka, Bengaluru, 560074, India; Paul A., CHRIST(Deemed to be University), Kengeri Campus, Karnataka, Bengaluru, 560074, India; Logesh, CHRIST(Deemed to be University), Kengeri Campus, Karnataka, Bengaluru, 560074, India; Shibu S.P., CHRIST(Deemed to be University), Kengeri Campus, Karnataka, Bengaluru, 560074, India; Lonappan L., CHRIST(Deemed to be University), Kengeri Campus, Karnataka, Bengaluru, 560074, India; Elapilla M., CHRIST(Deemed to be University), Kengeri Campus, Karnataka, Bengaluru, 560074, India
Description
An account of the resource
Precision agriculture is being revolutionized by the use of UAVs and AI, enabling more efficient and sustainable crop monitoring. This study presents a drone-based solution for real-time detection of sugarcane diseases such as Rust, Red Rot, Mosaic, and Yellow Leaf. A custom quadcopter, outfitted with a high-resolution camera and Raspberry Pi 4, is used to capture aerial imagery. The onboard YOLOv8 model processes images in real time, with data stored locally on an SD card for further evaluation. The paper covers the complete system setup, including hardware components, neural network deployment, and the end-to-end workflowfrom image capture to decision support. This integrated approach supports early intervention, better yield outcomes, and cost-effective disease management in sugarcane farming. 2025 IEEE.
Subject
The topic of the resource
deep learning; disease detection; Precision agriculture; Raspberry Pi; sugarcane; unmanned aerial vehicles; YOLOv8
Publisher
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Institute of Electrical and Electronics Engineers Inc.
Relation
A related resource
ISBN: 979-833156522-0;
Language
A language of the resource
English
Type
The nature or genre of the resource
Conference paper
Rights
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Restricted Access; Hardcopy may be available in the library
-
Dublin Core
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Title
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Faculty Publications
Article
Faculty Publications -Articles
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
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Antony, Anil; Ganesh Kumar, R.
Title
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Precision Food Crop Mapping Using Deep Neural Networks and Improved Dipper Throat Optimization Techniques
Date
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01-01-2026
Source
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International Journal of Engineering Trends and Technology;Volume;74;Issue;4;pp.87-100
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<a href="https://doi.org/10.14445/22315381/IJETT-V74I4P107" target="_blank" rel="noreferrer noopener">https://doi.org/10.14445/22315381/IJETT-V74I4P107</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105039496365?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105039496365?origin=resultslist</a>
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Antony A., Department of Computer Science & Engineering, CHRIST (Deemed to be University), School of Engineering and Technology, Kengeri Campus, Bangalore, India, Department of Computer Science and Engineering, Sahrdaya College of Engineering and Technology, Kerala, Thrissur, India; Ganesh Kumar R., Department of Computer Science & Engineering, CHRIST (Deemed to be University), School of Engineering and Technology, Kengeri Campus, Bangalore, India
Description
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In recent times, the use of Remote Sensing (RS) data obtained from Unmanned Aerial Vehicles (UAVs) has gained significant popularity in crop classification tasks, including crop mapping, yield prediction, and soil classification. The classification of food crops utilizing RS Imageries (RSI) is a major application of RS tools in crop growing. Meeting the conditions for investigating these data requires more difficult approaches, and Artificial Intelligence (AI) technologies offer the mandatory support. Because of the variation and division of crop planting, archetypal classification methods have fewer classification outcomes. This manuscript focuses on the design and execution of a Leveraging Enhanced Dipper Throat Optimization Algorithm with Dipper-Inspired Precision Classification for Remote-sensed Optimized (DIP-CROP) Processing methodology. The drive of the DIP-CROP algorithm is to classify distinct types of crops that exist in remote sensing. At first, the DIP-CROP model applies image processing using the Sobel Filter (SF) to eliminate the noise. Next, the presented DIP-CROP technique takes place SqueezeNet model is employed for the feature extractor. To classify the food crop types, the DIP-CROP approach utilizes a Multi-Head Attention-based Bi-directional Long Short Term Memory (MHA-BiLSTM) algorithm. For hyperparameter tuning of the MHA-BiLSTM classifier, the Enhanced Dipper Throat Optimization Algorithm (EDTOA) will be applied in this work. The optimization process utilizes Levy flight distribution, which is known for its faster convergence due to efficient exploration of the search space. Levy flights can be used to take larger steps in exploration, which prevents getting stuck in local minima and accelerates convergence. The performance of the DIP CROP method is examined experimentally using a benchmark database. Experimental results affirmed the superior solution of the DIP-CROP algorithm over existing methods. 2026 Seventh Sense Research Group.
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Feature Extractor; Food Crop Classification; Levy Flight; Remote Sensing; Sobel Filter
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Seventh Sense Research Group
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ISSN: 23490918;
Language
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English
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Article
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All Open Access; Bronze Open Access
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online
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Faculty Publications -Articles
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Precursor to employee engagement AMID knowledge workers
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Employee engagement professional contentment career development; Job enrichment information technology; Methodology
Description
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The main objective of this study is to critically analyze the precursor to employee engagement. The research methodology used in this research is descriptive research. In primary data, responses are collected through well framed questionnaires and direct interaction with the employees to selected sample of 550 respondents of information technology organisations in Bengaluru City. The questionnaire consists of 20 questions based on employee engagement precursor. To reduce the dimension of this an exploratory factor analysis was carried out and 3 factors explaining 65.26% of the variance were derived. The 3 precursors identified as professional contentment (Cronbach's alpha 0.940) career development (Cronbach's alpha 0.836) and job enrichment (Cronbach's alpha 0.826). The current study adds to the research pointing at precursors to employee's engagement among knowledge researcher. Medwell Journals, 2017.
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Philip P.; Mani A.
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Journal of Engineering and Applied Sciences, Vol-12, No. Specialissue4, pp. 6760-6763.
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Medwell Journals
Date
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2017-01-01
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<a href="https://doi.org/10.3923/jeasci.2017.6760-6763" target="_blank" rel="noreferrer noopener">https://doi.org/10.3923/jeasci.2017.6760-6763</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85040950026&doi=10.3923%2Fjeasci.2017.6760-6763&partnerID=40&md5=c4524fe44f906fe23706310aa3dde80b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85040950026&doi=10.3923%2fjeasci.2017.6760-6763&partnerID=40&md5=c4524fe44f906fe23706310aa3dde80b</a>
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Restricted Access
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ISSN: 1816949X
Format
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Online
Language
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English
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Article
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Philip P., Department of Management, Academy of Maritime Education and Training (AMET) University, Chennai, India; Mani A., Christ University, Hosur Road, Bengaluru, India
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The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Articles
Article
Faculty Publications -Articles
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The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Predictability and herding of bourse volatility: An econophysics analogue
Subject
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Econophysics; Herding; High Frequency Trading; Hurst exponent
Description
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Financial Reynolds number works as a proxy for volatility in stock markets. This piece of work helps to identify the predictability and herd behavior embedded in the financial Reynolds number (time series) series for both CNX Nifty Regular and CNX Nifty High Frequency Trading domains. Hurst exponent and fractal dimension have been used to carry out this work. Results confirm conclusive evidence of predictability and herd behavior for both the indices. However, it has been observed that CNX Nifty High Frequency Trading domain (represented by its corresponding financial Reynolds number) is more predictable and has traces of significant herd behavior. The pattern of the predictability has been found to follow a quadratic equation. Bikramaditya Ghosh, Krishna M.C., Shrikanth Rao, Emira Kozarevi?, Rahul Kumar Pandey, 2018.
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Ghosh B.; Krishna M.C.; Rao S.; Kozarevi? E.; Pandey R.K.
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Investment Management and Financial Innovations, Vol-15, No. 2, pp. 317-326.
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LLC CPC Business Perspectives
Date
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2018-01-01
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<a href="https://doi.org/10.21511/imfi.15(2).2018.28" target="_blank" rel="noreferrer noopener">https://doi.org/10.21511/imfi.15(2).2018.28</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85051940311&doi=10.21511%2Fimfi.15%282%29.2018.28&partnerID=40&md5=6ca49146fae345c604195696a9ab2d23" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85051940311&doi=10.21511%2fimfi.15%282%29.2018.28&partnerID=40&md5=6ca49146fae345c604195696a9ab2d23</a>
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All Open Access; Gold Open Access; Green Open Access
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ISSN: 18104967
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Online
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English
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Article
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Ghosh B., Institute of Management, Christ University, Bangalore, India; Krishna M.C., Institute of Management, Christ University, Bangalore, India; Rao S., Institute of Management, Christ University, Bangalore, India; Kozarevi? E., Faculty of Economics, University of Tuzla, Bosnia and Herzegovina; Pandey R.K., Institute of Management, Christ University, Bangalore, India