339
20
16488
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Articles
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Faculty Publications -Articles
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PANCHAYAT SYSTEM IN KARNATAKA: DEMOCRACY, REPRESENTATION AND POLITICAL PARTIES; [SISTEMA PANCHAYAT EM KARNATAKA: DEMOCRACIA, REPRESENTAO E PARTIDOS POLICOS]
Subject
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Amendment; Decentralisation; Democracy; Panchayats; Political Parties; Representation
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As far as the Indian sub-continent is concerned local governance/panchayat has an elaborate history. The rural population have for long practiced this system of governing themselves through their representatives. The mode of working and the powers vested in the local bodies, have not been uniform throughout. The federation conferred constitutional status to the local governance bodies in 1993 and this system has progressed in an interesting way. Karnataka, a southern State in India has been ahead of time in enacting legislations dealing with local governance. Even before the amendment inserting provisions to the Constitution of India was passed, Karnataka had and was implementing extravagant laws pertaining to panchayats. Since democracy and decentralisation are closely associated with the panchayats, the idea of representation has a key role to play. The concerns with respect to involvement and influence of political parties in the local body elections are an important aspect as well. This paper ventures out to understand the panchayat system in Karnataka, pre and post the Constitutional amendment. The paper intends to throw light on the essence of the legislations relating to panchayats in Karnataka and understand the idea of democracy, representational factor and the concept of elections on a non-party basis. The researchers have keenly pondered upon the implementation of apolitical elections in Karnataka, the flaws in the proposed phenomenon. The paper also aims to look into hurdles in the way of these local bodies and propose suggestions to get over the same. Purpose: To Analyze the panchayat system in Karnataka, both before and after the 1993 constitutional amendment. Examine the essence of Karnataka's panchayat-related legislation. Explore the concepts of democracy, representation, and non-party elections in the context of panchayats. Evaluate the implementation of non-partisan elections in Karnataka and identify potential flaws. Analyze the challenges faced by panchayats and propose solutions. Theoretical Reference: Mainly Doctrinal research methodology. Relies on primary sources like the Indian Constitution, relevant statutes relating to panchayaths, and relevant data. Draws on secondary sources like articles and research papers. Method: Analyzes relevant legal documents and scholarly works. Analytical Method of Study Comparative Studies in relation to various factors pertaining to the research between the three levels of Panchayat (Gram Panchayat, Taluk Panchayat and Zilla Panchayat) Results and Conclusion: Non-partisan elections in Karnataka are largely theoretical; political parties influence local elections. Political interference hinders effective panchayat functioning. The paper likely proposes recommendations for strengthening panchayats and minimizing political influence. Implications of Research: Provides insights into the challenges and potential of decentralized governance in India. Informs policymakers and stakeholders about improving panchayat effectiveness. May contribute to debates on non-partisan elections and local democracy. Originality/Value: The study offers a focused analysis of Karnataka's panchayat system within a specific theoretical framework. Its findings on the limitations of non-partisan elections could be valuable for other regions considering similar approaches. 2024 ANPAD - Associacao Nacional de Pos-Graduacao e Pesquisa em Administracao. All rights reserved.
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Krishnappa R.; Agarwal P.
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Revista de Gestao Social e Ambiental, Vol-18, No. 1
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ANPAD - Associacao Nacional de Pos-Graduacao e Pesquisa em Administracao
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2024-01-01
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<a href="https://doi.org/10.24857/rgsa.v18n1-070" target="_blank" rel="noreferrer noopener">https://doi.org/10.24857/rgsa.v18n1-070</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193433000&doi=10.24857%2Frgsa.v18n1-070&partnerID=40&md5=caa5fdae4c605140ae012c3b9a53c655" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193433000&doi=10.24857%2frgsa.v18n1-070&partnerID=40&md5=caa5fdae4c605140ae012c3b9a53c655</a>
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All Open Access; Hybrid Gold Open Access
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ISSN: 1981982X
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Online
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English
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Article
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Krishnappa R., CHRIST (Deemed to be University), Bengaluru, India; Agarwal P., CHRIST (Deemed to be University), Bengaluru, India
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https://archives.christuniversity.in/files/original/d173b215ec32c066aea629ea145353dd.pdf
1b31a05c9c4c999ff5760e46e0f3f3c0
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Title
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PhD
PhD Thesis
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A study of the effectiveness of technology enabled learning strategy based on multiple intelligences on the achievement in history and civics of elementary school students in Bangalore
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Education
Description
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Education in ancient India in its traditional form was closely related to religion and was limited to a very small section of Indian society. Ancient education in India followed an oral tradition, which laid stress on memory. Subjects like arts and sciences related to government: politics, economics, philosophy, and historical traditions were taught (Thapar, 2002). With the arrival of Islam in India, the traditional methods of education underwent a change. Islamic institutions of education in India taught grammar, philosophy, mathematics, and law influenced by the Greek traditions inherited by Persia and the Middle East, before Islam spread from these regions into India. A feature of this traditional Islamic education was its emphasis on the connection between science and humanities.
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Krishnappa, Meera - 0944903
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CHRIST (Deemed to be University)
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English
Type
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PhD
-
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Title
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Book Chapter
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Higher Education in Maldives amidst the Pandemic: An Intersectional Approach to Digital Education
Description
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The Covid-19 outbreak upended the core foundations of societies across the globe, leading to dramatic shifts in knowledge, attitudes, and values. The education sector, known for its traditional classroom model, had to adapt quickly. However, the pandemic's impact varied widely due to social, cultural, economic, geographic, and gender factors. Amid such inequal pandemic disruptions, Maldives presents a unique case as an upper-middle-income economy with diverse higher education (HE) opportunities. The pandemic pushed Maldives towards digital education, capitalizing on pre-existing capabilities. The study employs an intersectional feminist approach to the gender digital divide, seeking to understand how the rapid adoption of digital education in Maldives' higher education institutions (HEIs) has unfolded during the pandemic. The analysis reveals deeply entrenched gender norms that have had a disproportionate impact on women students and lecturers in HEIs. Factors like unpaid domestic labour and care work, lack of suitable home space, absence of psychological support, and reinforcement of gender roles have primarily widened the gender digital divide in digital education during the pandemic. Moreover, local, social, and cultural attitudes further exacerbate this divide signifying a pressing need to re-evaluate women's roles in HEIs in the post-pandemic world. 2025 selection and editorial matter, Padma Rani, Bhanu Bhakta.
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Krishnapriya T.K.
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Digital Inequalities in Media Education in South Asia, pp. 166-176.
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Taylor and Francis
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2025-01-01
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<a href="https://doi.org/10.4324/9781003432074-12" target="_blank" rel="noreferrer noopener">https://doi.org/10.4324/9781003432074-12</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214761235&doi=10.4324%2F9781003432074-12&partnerID=40&md5=c50732dc0011bcbed4bacf9954f730f5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214761235&doi=10.4324%2f9781003432074-12&partnerID=40&md5=c50732dc0011bcbed4bacf9954f730f5</a>
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Restricted Access
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ISBN: 978-104027360-9; 978-103255752-6
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Online
Language
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English
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Book chapter
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Krishnapriya T.K., Department of Media Studies, Christ University, Bangalore, India
-
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Faculty Publications
Book Chapter
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Krishnapriya, T.K.
Title
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Higher Education in Maldives amidst the Pandemic: An Intersectional Approach to Digital Education
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01-01-2025
Source
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Digital Inequalities in Media Education in South Asia;pp.166-176
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<a href="https://doi.org/10.4324/9781003432074-12" target="_blank" rel="noreferrer noopener">https://doi.org/10.4324/9781003432074-12</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85214761235?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85214761235?origin=resultslist</a>
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Krishnapriya T.K., Department of Media Studies, Christ University, Bangalore, India
Description
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The Covid-19 outbreak upended the core foundations of societies across the globe, leading to dramatic shifts in knowledge, attitudes, and values. The education sector, known for its traditional classroom model, had to adapt quickly. However, the pandemic's impact varied widely due to social, cultural, economic, geographic, and gender factors. Amid such inequal pandemic disruptions, Maldives presents a unique case as an upper-middle-income economy with diverse higher education (HE) opportunities. The pandemic pushed Maldives towards digital education, capitalizing on pre-existing capabilities. The study employs an intersectional feminist approach to the gender digital divide, seeking to understand how the rapid adoption of digital education in Maldives' higher education institutions (HEIs) has unfolded during the pandemic. The analysis reveals deeply entrenched gender norms that have had a disproportionate impact on women students and lecturers in HEIs. Factors like unpaid domestic labour and care work, lack of suitable home space, absence of psychological support, and reinforcement of gender roles have primarily widened the gender digital divide in digital education during the pandemic. Moreover, local, social, and cultural attitudes further exacerbate this divide signifying a pressing need to re-evaluate women's roles in HEIs in the post-pandemic world. 2025 selection and editorial matter, Padma Rani, Bhanu Bhakta.
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Taylor and Francis
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ISBN: 978-104027360-9; 978-103255752-6;
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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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online
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Title
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Articles
Article
Faculty Publications -Articles
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Factors Influencing Consumer Purchasing Behaviour Towards Purchase of Palm Leaf Craft
Subject
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Awareness; cultural; eco friendly; handicraft; palm leaf; tradition; ??; ???; ???; ??; ??
Description
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The handicraft sector plays a significant role in providing employment opportunities in rural and semi-urban areas of the country. It helps in generating substantial income for the artisans. The uses for palm leaves are abundant. Attractive items made of Palm Leaves are very popular in South India, mostly in Southern Andhra Pradesh and Tamil Nadu. However, to generate sustainable revenue through their products, the artisans need to understand the buyers requirements. This study aims to understand the consumers purchasing behavior when buying palm leaf products. The sample consists of 233 consumers with diverse backgrounds from the state of Tamil Nadu, India. A questionnaire was developed to measure awareness and attitude influence while purchasing palm leaf products. The results can help the artisans to get an insight into end-user expectations and requirements toward palm leaf products and suggest strategies to increase the income of artisans. 2022 Taylor & Francis.
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Krishnaraj G.; Elangovan N.; Prakash C.
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Journal of Natural Fibers, Vol-19, No. 15, pp. 11610-11620.
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Taylor and Francis Ltd.
Date
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2022-01-01
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<a href="https://doi.org/10.1080/15440478.2022.2029664" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/15440478.2022.2029664</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125258809&doi=10.1080%2F15440478.2022.2029664&partnerID=40&md5=56aa5b1ba41b153b2bfb362fcd3161be" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125258809&doi=10.1080%2f15440478.2022.2029664&partnerID=40&md5=56aa5b1ba41b153b2bfb362fcd3161be</a>
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Restricted Access
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ISSN: 15440478
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Online
Language
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English
Type
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Article
Coverage
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Krishnaraj G., Department of Textile Design, National Institute of Fashion Technology, NIFT Campus, Chennai, India; Elangovan N., Institute of Management, Christ University, Bengaluru, India; Prakash C., Department of Handloom and Textile Technology, Indian Institute of Handloom Technology, Fulia, Ministry of Textile, Govt. of India, Shantipur, India
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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An Enhanced Data-Driven Weather Forecasting using Deep Learning Model
Subject
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Convolutional Neural Network; Deep Learning; Weather Forecasting; Weather Prediction
Description
An account of the resource
Predicting present climate and the evolution of the ecosystem is more crucial than ever because of the huge climatic shift that has occurred in nature. Weather forecasts normally are made through compiling numerical data on from the atmospheric state at the moment and also applying scientific knowledge in the atmospheric processes to forecast on how the weather atmosphere would evolve. The most popular study subject nowadays is rainfall forecasting because of complexity in handling the data processing in addition to applications in weather monitoring. Four different state temperature data were collected and applied deep learning methods to predict the temperature level in the forthcoming months. The results brought out with the accuracy from 92.5% to 97.2% for different state temperature data. 2023 IEEE.
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Krishnasamy L.; Anand D.V.; Vigneshwaran T.; Pathak L.K.; Maheswaran S.
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2023 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023
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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/ICCCNT56998.2023.10307319" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCCNT56998.2023.10307319</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179841437&doi=10.1109%2FICCCNT56998.2023.10307319&partnerID=40&md5=6d8c79ae8d95be2f6ff764096fd0a33a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179841437&doi=10.1109%2fICCCNT56998.2023.10307319&partnerID=40&md5=6d8c79ae8d95be2f6ff764096fd0a33a</a>
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ISBN: 979-835033509-5
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Online
Language
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English
Type
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Conference paper
Coverage
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Krishnasamy L., Christ University, School of Engineering and Technology, Department of Cse, Bengaluru, India; Anand D.V., Kongu Engineering College, Department of Information Technology, Erode, India; Vigneshwaran T., Christ University, School of Engineering and Technology, Department of Cse, Bengaluru, India; Pathak L.K., Christ University, School of Engineering and Technology, Department of Cse, Bengaluru, India; Maheswaran S., Kongu Engineering College, Department of Electronics and Communication Engineering, Erode, India
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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Predicting the Thyroid Disease Using Machine Learning Techniques
Description
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An endocrine gland that is allocated in the front of the neck is called the thyroid, which produces thyroid hormones as its main job. Thyroid hormone may be produced insufficiently or excessively as a result of its potential malfunction. There are various thyroid types including Hyperthyroidism, Hypothyroidism, Thyroid Cancer Thyroiditis, swelling of the thyroid. A goiter is an enlarged thyroid gland. When your thyroid gland produces more thyroid hormones than your body requires, you have hyperthyroidism. When the thyroid gland in our body doesnt provide enough thyroid hormones, then our body has hypothyroidism; when you have euthyroid sick, your thyroid function tests during critical illness taken in an inpatient or intensive care setting show alterations. Hypothyroid, hyperthyroid, and euthyroid conditions are expected from these thyroid conditions. The Three similarly used machine learning algorithms are: Support Vector Machine (SVM), Logistic Regression, and Random Forest methods, were evaluated from among the various machine learning techniques to forecast and evaluate their performance in terms of accuracy. Random forest can perform both regression and classification tasks. Logistic Regression is used to calculate or predict the probability of a binary (yes/no) event occurring. SVM classifiers offers great accuracy and work well with high dimensional space. A thyroid data set from Kaggle is used for this. This study has demonstrated the use of SVM, logistic regression, and random forest as classification tools, as well as the understanding of how to forecast thyroid disease. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
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Krishnasamy L.; Aparnaa M.; Deepa Prabha G.; Kavya T.
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Lecture Notes in Networks and Systems, Vol-728 LNNS, pp. 49-57.
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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/10.1007/978-981-99-3932-9_6" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-3932-9_6</a>
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ISSN: 23673370; ISBN: 978-981993931-2
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Online
Language
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English
Type
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Conference paper
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Krishnasamy L., Department of Computer Science and Engineering, School of Engineering and Technology, Christ (Deemed to be) University, Kengeri Campus, Bengaluru, 560074, India; Aparnaa M., Department of Information Technology, Kongu Engineering College, Tamil Nadu, Erode, India; Deepa Prabha G., Department of Information Technology, Kongu Engineering College, Tamil Nadu, Erode, India; Kavya T., Department of Information Technology, Kongu Engineering College, Tamil Nadu, Erode, India
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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Title
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Identification of Cyberbullying and Finding Target User's Intention on Public Forums
Subject
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bag of words; cyberbullying; feature extraction; sentiment analysis; SVM
Description
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Numerous cybercriminals are active in the online realm, carrying out cyber-crimes according to predetermined and preplanned agendas. Cyberbullying, which was formerly limited to physical limits, has now expanded online as a result of technology advancements. One type of cyberbullying is denigration or insult. The cyberbullying cases are in exponential rise in social media as per the reports of Computer Emergency Team by Sri Lanka. Insulting words are changeable in dynamic and the same terminology may have numerous meanings depending on the context. Bullying cannot be defined just because a statement comprises such a term. As a result, when classifying comments, standard keyword detecting approaches are insufficient. Other languages also may have dealt with this issue by utilizing lexical databases like WordNet, which might give synonyms as well as homonyms for words. Because no adequate lexical database mainly for the English language has been built, recognizing a word like bullying is difficult. As a result, employed rules to solve the problem. Facebook comments containing profanity were gathered, outliers were eliminated, and the remaining messages were pre-processed. Five feature extraction rules were employed to assess insult in the text. Following that, used the Support Vector Machine (SVM) technique. Using an F1-score of 85%, the findings demonstrate that when compared to existing works, SVM performs better. The focus on English language cyberbully identification, which has never been addressed earlier, distinguishes this study. 2023 IEEE.
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Krishnasamy L.; Kiruthika M.; Manjunatha Swamy C.; Vigneshwaran T.; Sharon Roji Priya C.; Vijay Anand D.
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Proceedings of International Conference on Contemporary Computing and Informatics, IC3I 2023, pp. 2152-2156.
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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/IC3I59117.2023.10397967" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IC3I59117.2023.10397967</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186905081&doi=10.1109%2FIC3I59117.2023.10397967&partnerID=40&md5=a7c4692044c6a570d19b1b414d8111ed" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186905081&doi=10.1109%2fIC3I59117.2023.10397967&partnerID=40&md5=a7c4692044c6a570d19b1b414d8111ed</a>
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ISBN: 979-835030448-0
Format
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Online
Language
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English
Type
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Conference paper
Coverage
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Krishnasamy L., School of Engineering and Technology, Department of CSE, Christ University, Bengaluru, India; Kiruthika M., School of Computing, Department of Computational Intelligence, SRM Institute of Science and Technology, Tamilnadu, Kattankulathur, India; Manjunatha Swamy C., School of Engineering and Technology, Department of CSE, Christ University, Bengaluru, India; Vigneshwaran T., School of Engineering and Technology, Department of CSE, Christ University, Bengaluru, India; Sharon Roji Priya C., School of Engineering and Technology, Department of CSE, Christ University, Bengaluru, India; Vijay Anand D., Kongu Engineering College, Department of Information Technology, Erode, India
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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Title
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Epilepsy Detection Using Supervised Learning Algorithms
Subject
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Convolution neural network; Electroencephalogram (EEG); Epilepsy; K-Nearest Neighbour; Random Forest; Seizures; Supervised learning algorithms; Support vector machine
Description
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In the current scenario, people are suffering and isolated by themselves by seizure detection and prediction in epilepsy. Also, it is highly essential that it needs to be identified through wearable devices. Researchers discussed this issue and outlined future developments in this field, suggesting that Machine Learning (ML) techniques could radically change how we diagnose and manage patients with epilepsy. However, as data availability has increased, Deep Learning (DL) techniques have become the most cutting-edge approach to adopt and use with wearable devices. On the other hand, large amounts of data are needed to train DL models, making overfitting problematic. DL models are created with open-source toolboxes and Python, allowing researchers to create automated systems and broaden computational accessibility. This work thoroughly overviews deep learning (DL) methods and neuroimaging modalities for automated epileptic seizure identification. It covers several MRI and EEG techniques for epileptic seizure diagnosis and treatment programmes designed to treat these seizures. The study also covers the difficulties in precise detection, the benefits and drawbacks of DL-based strategies, potential DL models and upcoming research in this area. 2024 IEEE.
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Krishnasamy L.; Sriwastav Y.K.; Bharat S.P.; Ganachar S.R.
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Proceedings of InC4 2024 - 2024 IEEE International Conference on Contemporary Computing and Communications
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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/InC460750.2024.10649398" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC460750.2024.10649398</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203816395&doi=10.1109%2FInC460750.2024.10649398&partnerID=40&md5=545acdc4a94e2345d940aff13793d0cd" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203816395&doi=10.1109%2fInC460750.2024.10649398&partnerID=40&md5=545acdc4a94e2345d940aff13793d0cd</a>
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Restricted Access
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ISBN: 979-835038365-2
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Online
Language
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English
Type
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Conference paper
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Krishnasamy L., Nandha Engineering College, Department of Artificial Intelligence and Data Science, Erode, India; Sriwastav Y.K., School of Engineering and Technology, Christ University, Department of CSE, Bengaluru, India; Bharat S.P., School of Engineering and Technology, Christ University, Department of CSE AIML, Bengaluru, India; Ganachar S.R., School of Engineering and Technology, Christ University, Department of CSE, Bengaluru, India
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Title
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Faculty Publications
Book Chapter
Faculty Publications- Book Chapter
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Krishnasamy, Lalitha; Vetriveeran, Divya; Sambandam, Rakoth Kandan; Jenefa, J.
Title
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Efficient Load Balancing and Resource Allocation in Networked Sensing SystemsAn Algorithmic Study
Date
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01-01-2025
Source
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Networked Sensing Systems;pp.145-171
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<a href="https://doi.org/10.1002/9781394310890.ch6" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/9781394310890.ch6</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85219153943?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85219153943?origin=resultslist</a>
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Krishnasamy L., Department of Artificial Intelligence & Data Science, Nandha Engineering College, Tamil Nadu, Erode, India; Vetriveeran D., Department of Computer Science and Engineering, School of Engineering and Technology, Christ University, Kengeri Campus, Bengaluru, India; Sambandam R.K., Department of Computer Science and Engineering, School of Engineering and Technology, Christ University, Kengeri Campus, Bengaluru, India; Jenefa J., Department of Computer Science and Engineering, School of Engineering and Technology, Christ University, Kengeri Campus, Bengaluru, India
Description
An account of the resource
In the current environment, data generation and data transmission are increasing exponentially in day-to-day life. These exponentially growing data might create heavy traffic when transmitted between systems. Also, this affects many functionalities like configuration of networked systems, system and routing configuration parameters, load managing factors of network devices, etc. A dynamic traffic control mechanism needs to be adopted with the help of load-balancing algorithms and efficient resource allocation mechanisms to deal with heavy data traffic. Load balancing algorithms in networked sensing systems aim to distribute the workload evenly among sensor nodes to optimize network performance and energy efficiency and prolong the network lifetime. Resource allocation mechanisms in a networked sensing system involve allocating and distributing network resources efficiently, such as energy, bandwidth, processing power, etc., to optimize performance and increase the networks lifetime. To achieve efficient resource allocation with a balanced load, notable works have been done in optimization and machine learning. The work gives a scientific analysis of traditional and Artificial Intelligence algorithms from a centralized and distributed perspective. Researchers can take this analysis forward when deciding on algorithms based on their application and infrastructural needs. 2025 Scrivener Publishing LLC.
Subject
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AI algorithms; energy efficiency; Load balancing; machine learning; performance optimization; resource allocation
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wiley
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ISBN: 978-139431089-0; 978-139431086-9;
Language
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English
Type
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Book chapter
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All Open Access; Gold 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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Book Chapter
Book Chapter
Faculty Publications- Book Chapter
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Title
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Countering educational disruptions through an inclusive approach: Bridging the digital divide in distance education
Description
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The COVID-19 pandemic has created havoc across the globe, irrespective of governments, industries, and societies. The education sector is one of the most extensively affected by the global health crisis, manifesting expansive negative consequences to learners from various age groups and socioeconomic statuses. Despite the predicaments posed by the pandemic, academic institutions continue to provide education through a distance learning approach. However, the educational disruptions have underscored the lack of digital resources and competencies, excluding poor and unconnected students. Likewise, transitioning to remote education exposed the digital divide and inequalities that have been neglected for a long time. If the ultimate objective is to provide distance education, it is vital to devise solutions to problems faced by underprivileged students. This chapter investigates these challenges that impede the successful adoption of distance education and offers strategies to counter the disruptions as it seems apparent that online education is here to stay. 2022, IGI Global. All rights reserved.
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Krishnaswami M.; Iyer L.S.; John C.; Devanathan M.
Source
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Socioeconomic Inclusion During an Era of Online Education, pp. 204-224.
Publisher
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IGI Global
Date
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2022-01-01
Identifier
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<a href="https://doi.org/10.4018/978-1-6684-4364-4.ch010" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/978-1-6684-4364-4.ch010</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85136461398&doi=10.4018%2F978-1-6684-4364-4.ch010&partnerID=40&md5=de42f0cb4b3ff0ad3af4d5261569d1e6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85136461398&doi=10.4018%2f978-1-6684-4364-4.ch010&partnerID=40&md5=de42f0cb4b3ff0ad3af4d5261569d1e6</a>
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Restricted Access
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ISBN: 978-166844365-1; 978-166844364-4
Format
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Online
Language
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English
Type
The nature or genre of the resource
Book chapter
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Krishnaswami M.; Iyer L.S., Bharathiar University, India; John C., Christ University, India; Devanathan M., Christ University, Bangalore, India
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https://archives.christuniversity.in/files/original/5b6a1f7526fda71773a2c6ba8b57275c.png
34d1e4fb034e7a87392ed0248387b74a
Dublin Core
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Title
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Articles
Article
Faculty Publications -Articles
Dublin Core
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Title
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Crisis and Man: Literary Responses Across Cultures
Subject
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English
Description
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Journal of Business Management & Social Sciences Research, Vol-1 (3), pp. 29-31. ISSN-2319-5614
Creator
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Krishnaswami Mallika
Publisher
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Journal of Business Management & Social Sciences Research
Date
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2012
Language
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English
-
https://archives.christuniversity.in/files/original/09f0f0a6b7c51bb6a6c3739d25a366c2.jpg
6eff10a5de28aa0fab1e93501e5a544f
Dublin Core
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Title
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Articles
Article
Faculty Publications -Articles
Dublin Core
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Title
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Unopened windows: European existentialism and Indian classrooms /
Subject
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English
Description
An account of the resource
International Journal Of English Language Literature and humanities, Vol.3, Issue 9, pp.434-440, ISSN No: 2321-7065.
Creator
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KrishnaSwami, Dr. Mallika.
Source
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<a href="https://ijellh.com/OJS/index.php/OJS/article/view/8959" target="_blank" title="Unopened windows: European existentialism and Indian classrooms" rel="noreferrer noopener">https://ijellh.com/OJS/index.php/OJS/article/view/8959</a>
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Atlantic Publishers
Date
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2015-02-10
Language
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English
Type
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Research Paper
-
Dublin Core
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Title
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Articles
Article
Faculty Publications -Articles
Dublin Core
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Title
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U.R Ananthamurthy - A man more sinned against than sinning? /
Subject
The topic of the resource
Indian Literature
Description
An account of the resource
Indian Literature, Vol.59, Issue 6, pp.138-147, ISSN No: 0019-5804.
Creator
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Krishnaswami, Mallika
Source
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<a href="https://www.jstor.org/stable/44478645#metadata_info_tab_contents" target="_blank" title="U.R Ananthamurthy - A man more sinned against than sinning?" rel="noreferrer noopener">https://www.jstor.org/stable/44478645#metadata_info_tab_contents</a>
Publisher
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Sahitya Akademi
Date
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2015-02-10
Language
A language of the resource
English
Type
The nature or genre of the resource
Journal Article
-
https://archives.christuniversity.in/files/original/2ad2fdfef796328616e6a1889d1dba4e.jpg
ec465c99045e17cc94a48127c13c7e2f
Dublin Core
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Title
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Articles
Article
Faculty Publications -Articles
Dublin Core
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Title
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From knowledge tradition to knowledge economy : Positive interludes in India higher education /
Subject
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Knowledge Economy
Description
An account of the resource
International Journal Of Educational Planning & Administration, Vol.5, Issue 1, pp.19-23, ISSN No: 2249-3093.
Creator
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Krishnaswami, Mallika
Source
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<a href="https://www.ripublication.com/ijepa/ijepav5n1_04.pdf" target="_blank" title="From knowledge tradition to knowledge economy : Positive interludes in India higher education" rel="noreferrer noopener">https://www.ripublication.com/ijepa/ijepav5n1_04.pdf</a>
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Research India
Date
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2015-02-10
Language
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English
Type
The nature or genre of the resource
Journal Article
-
Dublin Core
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Title
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PHD
PhD
PhD Thesis
Dublin Core
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61000019
Title
A name given to the resource
Representation of moral crisis and social order across cultures An analysis of three texts goldings lord of the flies camus s the plague and U R Ananthamurthy s samskara
Subject
The topic of the resource
English
Description
An account of the resource
The growth of human civilization has always been accompanied by unexpected turns and twists caused by individuals and communities exhibiting inexplicable behavior. For every effort of greatness, there has been an equal amount of meanness and debauchery making the humankind more and more inscrutable. Human beings have defied all definitions about themselves and still go about with a perplexing image of both noble and brutal. They create a social order to ensure a newlinecohesive existence but end up breaking it, unable to face the moral crisis caused by the extreme turn of events. This study attempts to see the staging of human recovery from such situations through the fictional narratives of three writers belonging to three cultures and the crises faced by those societies, through a study of The Plague (1947 ) by the French writer, Albert Camus (1913 -1960 ), Lord of the Flies (1954) by the English writer, William Golding (1911 1993) newlineand Samskara (1965) by the Indian writer, U. R. Ananthamurthy (1932 - newline2014). newlineNo society or culture has escaped the throes of crisis be it moral, social, political or otherwise. The crisis that may be surmountable in one culture may shake the foundation of another. Of all the crises prevalent in society, one of the major causes for concern in the eyes of the participants newlineof the New Dialogue is moral crisis . Studies undertaken across the globe have thrown up the alarming fact that this is a crisis which could jolt the social order with its amoral way of thinking. America s moral integrity has been eroded by an anything goes culture abetted by the moral permissiveness of contemporary liberalism. The concern that the waning of tradition is giving way to moral confusion and anarchy is shared the world over including China and India despite their strong traditions. The reasons could be aplenty-ranging from the outbreak of wars, outbreak of epidemics and even crumbling of societies under the burden of orthodoxy of religion and caste.
Creator
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Krishnaswami, Mallika.
Source
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Author's Submission
Publisher
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Christ(Deemed to be University)
Date
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2014-01-01
Contributor
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Shanta, V.
Rights
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Open Access
Format
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PDF
Language
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English
Type
The nature or genre of the resource
PhD
Identifier
An unambiguous reference to the resource within a given context
<a href="http://hdl.handle.net/10603/135263" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/135263</a>
-
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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Krishnendhu, K.; Mathew, Neha Elizabeth; Gunavathi, R.; Johnson, Amala
Title
A name given to the resource
Multilingual Voice-Assisted for Traffic Sign Detection and Classification in Adverse Weather Conditions
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;1181;pp.425-436
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<a href="https://doi.org/10.1007/978-981-97-8861-3_36" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-8861-3_36</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105000636106?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105000636106?origin=resultslist</a>
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Krishnendhu K., Christ (Deemed to be) University, Bengaluru, India; Mathew N.E., Christ (Deemed to be) University, Bengaluru, India; Gunavathi R., Christ (Deemed to be) University, Bengaluru, India; Johnson A., Christ (Deemed to be) University, Bengaluru, India
Description
An account of the resource
In a world where millions of people are wounded in auto accidents each year due to negligence, a lack of understanding of traffic laws, and bad weather, there is an urgent need for greater road safety. This is particularly the case in India, where a disproportionately high number of traffic accidents lead to numerous fatalities. Ignoring traffic signs raises these risks and endangers not only vehicles but also passengers and pedestrians. This project addresses the significant issue of traffic sign recognition in bad weather and offers voice-based instruction in many languages to increase road safety. Using a mix of state-of-the-art technologies, including YOLOv8 for real-time sign detection and the Google Translate API, which supports NLP tasks, this research offers a full solution. The model's remarkable precision and efficacy underscore its capacity to revolutionize traffic safety and furnish a more secure and expedient driving encounter. With the world moving towards more autonomous mobility, this study is laying the groundwork for safer and more effective driving in the future. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
Subject
The topic of the resource
Google translation API; Inclement weather; Multiple languages; Road safety; Traffic laws; Traffic signs; Voice-based guidance; YOLOv8
Publisher
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Springer Science and Business Media Deutschland GmbH
Relation
A related resource
ISSN: 23673370; ISBN: 978-981978860-6;
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
Format
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online
-
https://archives.christuniversity.in/files/original/075642fd3d59a41e4dd84b915f4e9cd5.pdf
982b48faef54afaab4aaaa770b7a2e0d
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Title
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MPHIL
Mphil
Mphil Thesis
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Title
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Characterization of Women in Hindi Film Adaptations of Select Shakespearean Tragedies
Creator
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Kritika Ojha
Date
A point or period of time associated with an event in the lifecycle of the resource
2016
Source
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English
-
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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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
A name given to the resource
Analysis of Routing Protocols in MANET Networks
Subject
The topic of the resource
Ad-hoc; B.A.T.M.A.N; Babel; BMX7; MANET; OLSRv1
Description
An account of the resource
The scientific article is a review and comparative analysis of routing protocols for MANETs. The study examines the main protocols connected to mobile ad hoc networks such as B.A.T.M.A.N, BMX7, OLSRv1, Babel and provides a detailed analysis of their characteristics, advantages and disadvantages. To empirically evaluate performance, tests were carried out in a network simulator. The results of the study allow us to draw conclusions about the effectiveness and reliability of each of the monitoring protocols under various operating conditions of MANET. This article is a valuable contribution to the field of MANET research and can be used in the development of new technologies and solutions for mobile wireless networks. The work is relevant and practically significant because it helps researchers and engineers make informed decisions when choosing the optimal routing protocol in MANET networks. The results obtained can be useful in the design of mobile applications, emergency communication systems, transport management and other areas where the efficient operation of wireless networks is important. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Creator
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Krivolapova O.; Lapin V.; Shvedunenko D.; Anita E.A.M.
Source
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Lecture Notes in Networks and Systems, Vol-863 LNNS, pp. 141-151.
Publisher
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Springer Science and Business Media Deutschland GmbH
Date
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2024-01-01
Identifier
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<a href="https://doi.org/10.1007/978-3-031-72171-7_15" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-72171-7_15</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207562321&doi=10.1007%2F978-3-031-72171-7_15&partnerID=40&md5=1bff1bcf552cab4ad92ad0e9dbc7d436" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207562321&doi=10.1007%2f978-3-031-72171-7_15&partnerID=40&md5=1bff1bcf552cab4ad92ad0e9dbc7d436</a>
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Restricted Access
Relation
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ISSN: 23673370; ISBN: 978-303172170-0
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
Krivolapova O., North Caucasus Federal University, Stavropol, Russian Federation; Lapin V., North Caucasus Federal University, Stavropol, Russian Federation; Shvedunenko D., North Caucasus Federal University, Stavropol, Russian Federation; Anita E.A.M., CHRIST (Deemed to be University), Bangalore, India
-
Dublin Core
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Title
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Articles
Article
Faculty Publications -Articles
Dublin Core
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Title
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Cognitive marketing and purchase decision with reference to pop up and banner advertisements
Subject
The topic of the resource
Banner advertisements; Consumers buying behavior; Pop-Up advertisements; Ugly truth
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The aim of this research paper is to employ a mixed research approach and to check how the past data differs from the present and hence it uses an argument mapping to find the reality using focus group. Since genders have different opinion on pop-up and banner advertisements, two focus groups, one group consisting the female gender and the other focus group consisting the male respondents have been taken for the data collection. Small sample has been used for the argument mapping (N=45/Male) and (N=47/Female). A series of steps has been conducted in the argument mapping and relevant maps have been developed for drawing inference. It is found that, male have no patience to deal with the pop-up and banner advertisements but women are keener and patient enough to make the best use of these advertisements. On the other hand a questionnaire was framed from the variables found from the literature review and the same was distributed to both the genders and it was found collectively that though pop-up advertisements and banner advertisements are useful in some way, it is always considered to be a negative aspect. Misleading advertisements, data security scam are a few negative aspects of such advertisements and hence, there are a lot of ugly truth behind pop up and banner advertisements. The mixed research approach (triangulation) between the quantitative and qualitative is a new initiative taken by the researchers in this research and holds originality of the study. 2018 Academic Research Publishing Group.
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Krushali S.; Jojo N.; Anand Shankar Raja M.
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Journal of Social Sciences Research, Vol-4, No. 12, pp. 718-735.
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Academic Research Publishing Group
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2018-01-01
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<a href="https://doi.org/10.32861/jssr.412.718.735" target="_blank" rel="noreferrer noopener">https://doi.org/10.32861/jssr.412.718.735</a>
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All Open Access; Gold Open Access
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ISSN: 24136670
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Online
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English
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Article
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Krushali S., Department of Commerce, CHRIST (Deemed to be university), Bengaluru, India; Jojo N., Department of Commerce, CHRIST (Deemed to be university), Bengaluru, India; Anand Shankar Raja M., Department of Commerce, CHRIST (Deemed to be university), Bengaluru, India