440
20
16481
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Title
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Book Chapter
Book Chapter
Faculty Publications- Book Chapter
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Title
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Importance of Genetic Model in Huntingtons Disease
Description
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Huntingtons disease (HD) is the first defect-mapped autosomal-dominant, progressive neurodegenerative disorder with a distinct phenotype found in 1983, which contributed to the concept of human genome project. Thus, the search for genetic defects pioneered various mapping and gene study technological prototypes that culminated in identification of distinct disorders. Huntingtons disease has many symptoms, including chorea and dystonia, incoordination, cognitive decline and dementia, and behavioral difficulties. This disease can manifest any time over the age of 30 years, with the first sign and symptom being behavioral changes, which might include lack of emotions, periods of aggression, excitement, and anger. HD duration varies, ranging from 10 to 25 years or more depending on the individual. It is caused by a single gene defect on chromosome number 4, wherein a person requires only a single copy of the defected gene to show the symptoms; that is, a person with parent with the HD gene has a 50% chance of suffering. The disease becomes prominent in a human being as a result of mutations in a gene called Huntington that is located on the p arm (short arm) of chromosome 4 (4p 16.3). This chapter discusses the genetic model of Huntingtons disease and its importance. An increase in the normal number of repeat CAG (cytosine, adenine, and guanine) segments, (i.e. > 35 CAG) is seen in the Huntington (HTT) mutation that causes the disease. The severity of the disease depends on the sized expansion (i.e. increasing CAG repeats will accelerate the age of onset of the disease). Continuing studies of genetic modifiers-genes whose natural polymorphic variation contribute to the alteration and development of the D gene-offers to open new gateways for early diagnosis by unlocking the biochemical changes that occur years before diagnosis, thereby providing validated target protein and pathways for rational therapeutic interventions. This is also added as a section in this chapter. 2025 selection and editorial matter, Sachchida Nand Rai, Sandeep Singh, Santosh Kumar Singh.
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Bajaj M.; Palan D.; Gandhi M.
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Neurodegenerative Diseases: Translational Models, Mechanisms, and Therapeutics, pp. 109-119.
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CRC Press
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2024-01-01
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<a href="https://doi.org/10.1201/9781032620442-9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781032620442-9</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210653482&doi=10.1201%2F9781032620442-9&partnerID=40&md5=bf318504ed61ee45c2185f3922bcde8a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210653482&doi=10.1201%2f9781032620442-9&partnerID=40&md5=bf318504ed61ee45c2185f3922bcde8a</a>
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ISBN: 978-104016012-1; 978-103261324-6
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Online
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English
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Book chapter
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Bajaj M., School of Innovation in Biodesign, Translational Health Science and Technology Institute, Faridabad, India; Palan D., School of Innovation in Biodesign, Translational Health Science and Technology Institute, Faridabad, India; Gandhi M., School of Innovation in Biodesign, Translational Health Science and Technology Institute, Faridabad, India, Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, India
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https://archives.christuniversity.in/files/original/6e557951b7604229eab7f73e945668c4.pdf
d6c2b8efe2ca5d705346280a45cdb1bc
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Title
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MPHIL
Mphil
Mphil Thesis
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Title
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IMPORTANCE OF POLITICAL CARTOONS TO NEWSPAPERS
Creator
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M Lawate Meghana
Date
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2012
Source
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Media Studies
Description
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Political cartoons are an important part in any newspaper. Political cartoons adorn a small part of a newspaper, often in a corner. The position of this piece although small the impact is huge. A cartoon conveys a lot of information in very few words. The emotions behind the political cartoons are genuine and although harsh, are taken with a sense of humour. While incomparison editorials are, firstly for the elite masses who understand the highly intellectual content of the piece, also editorials have a tendency to be politically correct and hold back, unlike cartoons. Cartoons are generally blatant about their stand on the issue. There have been controversial cartoons like JyllandsPostenthe Mohammad cartoon and the effective yet less controversial R.K.Laxman. The dissertation will concentrate on how political cartoon are infact one of the most important parts of any newspaper. It will try to understand the effectiveness of political cartoons over editorials. How political cartoons are a means of communication. The researcher will also try to understand how R.K.Laxman and the common man have become symbols for the ??aamaadmi??. The methods of research will include a qualitative analysis of political cartoons by interview and a quantitative analysis by questionnaire method to understand how people perceive cartoons over editorials. The researcher having completed the researcher is in a position to make comments about the effectiveness and popularity of cartoons.
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https://archives.christuniversity.in/files/original/286a4aed3642bef80b7f6d3bbb1e941b.pdf
9d8ec8b43af3ca37b0872f11b82331af
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Title
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MASTERS
Masters' Dissertation
Masters Dissertation
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Title
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Importance of political cartoons to newspapers /
Description
An account of the resource
Political cartoons are an important part in any newspaper. Political cartoons adorn a small part of a newspaper, often in a corner. The position of this piece although small the impact is huge. A cartoon conveys a lot of information in very few words. The emotions behind the political cartoons are genuine and although harsh, are taken with a sense of humour. While incomparison editorials are, firstly for the elite masses who understand the highly intellectual content of the piece, also editorials have a tendency to be politically correct and hold back, unlike cartoons. Cartoons are generally blatant about their stand on the issue. There have been controversial cartoons like JyllandsPostenthe Mohammad cartoon and the effective yet less controversial R.K.Laxman.
Subject
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Communication, Media Studies
Format
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PDF
Language
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English
Type
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Masters' Dissertation
Creator
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Lawate, Meghana M. - 1024026
Publisher
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Christ (Deemed To Be University)
Date
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2012-03-19
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Title
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Reviews
Review
Faculty Publications- Reviews
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Title
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Importance of positive emotions in software developers performance: a narrative review
Subject
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coping; performance; Positive emotions; positive ergonomics; positive psychology; software developers
Description
An account of the resource
Software development depends heavily on human efforts and collaborations, which are simultaneously influenced by human emotions, and it is considered among the most difficult tasks. Software developers are susceptible to various health concerns such as burnout, anxiety and depression due to the work nature and demands of the software industry, and this may have detrimental effects on their performance. However, evidence portray significant beneficial effects of positive emotions on well-being, growth, and success. Accordingly, this paper investigates the relevance of positive emotions among software developers and strives to understand how positive emotions benefit developers performance. It surveys literature that examine the importance of affect among developers and the benefits of positive emotions on human well-being and employs a narrative style to present these aspects. This review discusses the potential mechanisms that underlie the association between frequent experiences of positive emotions and improved performance and suggests that positive emotions benefit developers performance. This emotional awareness has the potential to enhance the developer efficacy, thus contributing to the discipline of ergonomics. Findings also have positive implications for organisational counsellors as they help in developing and maintaining a positive organisational climate. 2022 Informa UK Limited, trading as Taylor & Francis Group.
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Kurian R.M.; Thomas S.
Source
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Theoretical Issues in Ergonomics Science, Vol-24, No. 6, pp. 631-645.
Publisher
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Taylor and Francis Ltd.
Date
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2023-01-01
Identifier
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<a href="https://doi.org/10.1080/1463922X.2022.2134483" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/1463922X.2022.2134483</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140120034&doi=10.1080%2F1463922X.2022.2134483&partnerID=40&md5=a5aaa8e233d654632fc629659cc2a2a5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140120034&doi=10.1080%2f1463922X.2022.2134483&partnerID=40&md5=a5aaa8e233d654632fc629659cc2a2a5</a>
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ISSN: 1463922X
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Online
Language
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English
Type
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Review
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Kurian R.M., Department of Psychology, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Thomas S., Department of Psychology, CHRIST (Deemed to be University), Karnataka, Bengaluru, India
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Title
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Book Chapter
Book Chapter
Faculty Publications- Book Chapter
Dublin Core
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Title
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Importance of Sustainable Marketing Initiatives for Supporting the Sustainable Development Goals
Description
An account of the resource
Businesses that engage in sustainable marketing can benefit both the world and their bottom line. Earlier, companies could satisfy many customers by simply providing low pricing and high-quality goods. However, peoples concern for the environment and other social concerns have grown, and so has their desire to support groups that share their beliefs. Because they often generate strong market returns and demonstrate durability during economic downturns, many investors want to support businesses that use sustainable business methods. Also, these businesses are more likely to comply with social and environmental laws. Several companies use sustainable marketing to succeed in todays ethical and ecologically sensitive marketplace. Organizations must finance sustainability programs in order to practice sustainable marketing. But, it can also improve employee engagement, promote regulatory compliance, raise revenues, and build brand loyalty. 2023 by IGI Global.
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Anuradha A.; Shilpa R.; Thirupathi M.; Padmapriya S.; Supramaniam G.; Booshan B.; Booshan S.; Pol N.; Chavadi C.A.; Thangam D.
Source
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Handbook of Research on Achieving Sustainable Development Goals With Sustainable Marketing, pp. 149-169.
Publisher
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IGI Global
Date
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2023-01-01
Identifier
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<a href="https://doi.org/10.4018/978-1-6684-8681-8.ch008" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/978-1-6684-8681-8.ch008</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167765009&doi=10.4018%2F978-1-6684-8681-8.ch008&partnerID=40&md5=b5c8dc9e90537db69b2ce70a2c1787d3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167765009&doi=10.4018%2f978-1-6684-8681-8.ch008&partnerID=40&md5=b5c8dc9e90537db69b2ce70a2c1787d3</a>
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ISBN: 978-166848683-2; 978-166848681-8
Format
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Online
Language
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English
Type
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Book chapter
Coverage
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Anuradha A., Department of MBA, Cambridge Institute of Technology, K.R. Puram, Bangalore, India; Shilpa R., Garden City University, Bengaluru, India; Thirupathi M., CHRIST University (Deemed), Bengaluru, India; Padmapriya S., CHRIST University (Deemed), Bengaluru, India; Supramaniam G., Acharya Institute of Graduate Studies, Bengaluru, India; Booshan B., Acharya Institute of Graduate Studies, Bengaluru, India; Booshan S., ISBR Business School, Bengaluru, India; Pol N., ISBR Business School, Bengaluru, India; Chavadi C.A., Presidency Business School, Presidency College, Bengaluru, India; Thangam D., Presidency Business School, Presidency College, Bengaluru, India
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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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Imposter detection with canvas and WebGL using Machine learning.
Subject
The topic of the resource
Authentication; Canvas; fingerprinting; Machine Learning; WebGL
Description
An account of the resource
Authentication offers a way to confirm the legitimacy of a user attempting to access any protected information that is hosted on the web as organizations are moving their applications online. It has long been believed that IP addresses and Cookies are the most reliable digital fingerprints used to authenticate and track people online. But after a while, things got out of hand when modern web technologies allowed interested organizations to use new ways to identify and track users. There are many new reliable digital fingerprints that can be used such as canvas and WebGL. The canvas and WebGL render the image which is dependent on the software and hardware of the system. In our work with the generated hash value value from canvas and WebGL we create a model using KNN to identify the imposters. The model has proved to be accurate in authentication of user with an accuracy of 89%. 2023 IEEE.
Creator
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Prathima M.S.; Milena S.P.; Rm P.
Source
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2023 2nd International Conference for Innovation in Technology, INOCON 2023
Publisher
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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/INOCON57975.2023.10101070" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/INOCON57975.2023.10101070</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85158021326&doi=10.1109%2FINOCON57975.2023.10101070&partnerID=40&md5=4a3e2a948410b3d42b76df1432f2ab50" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85158021326&doi=10.1109%2fINOCON57975.2023.10101070&partnerID=40&md5=4a3e2a948410b3d42b76df1432f2ab50</a>
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ISBN: 979-835032092-3
Format
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Online
Language
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English
Type
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Conference paper
Coverage
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Prathima M.S., Christ (Deemed to Be University) Lavasa, Department of Data Science, Maharashtra, Pune, India; Milena S.P., Christ (Deemed to Be University) Lavasa, Department of Data Science, Maharashtra, Pune, India; Rm P., Christ (Deemed to Be University) Lavasa, Department of Data Science, Maharashtra, Pune, India
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Title
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Articles
Article
Faculty Publications -Articles
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Title
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Imprint of Fertiliser Policies on Farming Practices Evidence from the Top Five Consuming States
Description
An account of the resource
The policies related to the use of nitrogen fertilisers since independence are reviewed using primary and secondary databases to derive the present status of nitrogen, phosphorus, and potassium fertiliser use among farmers. Recommendations for increasing nitrogen use efficiency in agriculture for sustainability are provided. 2023 Economic and Political Weekly. All rights reserved.
Creator
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Choudhary H.; Mishra K.; Kumar P.; Chandra R.; Singh B.
Source
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Economic and Political Weekly, Vol-58, No. 39, pp. 51-59.
Publisher
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Economic and Political Weekly
Date
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2023-01-01
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<a href="" target="_blank" rel="noreferrer noopener"></a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182786652&partnerID=40&md5=e6d111b961459a796020a6a70f1bdcf2" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182786652&partnerID=40&md5=e6d111b961459a796020a6a70f1bdcf2</a>
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ISSN: 129976
Format
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Online
Language
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English
Type
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Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Choudhary H., NITI Aayog, New Delhi, India; Mishra K., Christ University, Delhi NCR campus, India; Kumar P., Giri Institute for Development Studies, Lucknow, India; Chandra R., Uttarakhand Council of Science and Technology, Dehradun, India; Singh B., Department of Soil Science, Punjab Agricultural University, Ludhiana, India
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Faculty Publications
Article
Faculty Publications -Articles
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Madhumitha, S.; Pious, Merlin; Naduvath, Sudev
Title
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Improper Injective Coloring Parameters of Certain Cycle-Related Graphs
Date
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01-01-2025
Source
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Jordan Journal of Mathematics and Statistics;Volume;18;Issue;4;pp.611-621
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<a href="https://www.scopus.com/pages/publications/105030379284?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105030379284?origin=resultslist</a>
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Madhumitha S., Department of Mathematics, Christ University, Bangalore, India; Pious M., Department of Mathematics, Christ University, Bangalore, India; Naduvath S., Department of Mathematics, Christ University, Bangalore, India
Description
An account of the resource
Any vertex coloring of a graph can be viewed as a random experiment of assigning colors to the vertices, whose random variable is defined based on the number of vertices assigned a particular color in that coloring. Based on this, the statistical parameters of mean and variance have been extended to chromatic mean and chromatic variance for various vertex colorings of graphs in the literature. In this article, the ideas of chromatic mean and chromatic variance of cycle-related graphs with respect to their improper injective coloring are investigated. (2025), (Yarmouk University). All rights reserved.
Subject
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chromatic mean; chromatic sum; chromatic variance; Improper coloring; injective coloring
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Yarmouk University
Relation
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ISSN: 20757905;
Language
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English
Type
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Article
Rights
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Restricted Access; Hardcopy may be available in the library
Format
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online
-
Dublin Core
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
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Title
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Improved Acceptance model: Unblocking Potential of Blockchain in Banking Space
Subject
The topic of the resource
Decentralization; immutability and cryptocurrencies; ledger; Smart contracts
Description
An account of the resource
Over the past ten years, blockchain has emerged as the new buzzword in the banking sector.The new technology is being adopted globally in many industries, including the business sector,because of its unique uses and features. However, no adoption model is available to help with this process.This research paper examines the new technology known as blockchain, which powers cryptocurrencies like Bitcoin and others. It looks at what blockchain technology is, how it works especially in the banking sector, and how it can change and upend the financial services sector. It outlines the features of the technology and discusses why these can have a significant effect on the financial industry as a whole in areas like identity services, payments, and settlements in addition to spawning new products based on things like 'smart contracts'. The adoption variables found in the literature study were used to gather, test, and evaluate the official papers that are currently available from regulatory organizations, practitioners, and research bodies. This study was able to classify adoption factors into three categories - supporting, impeding, and circumstantial - identify a new adoption factor, and determine the relative relevance of the factors. Consequently, an institutional adoption paradigm for blockchain technology in the banking sector is put out. In light of this, it is advised to conduct additional research on using the suggested model at banks using the new technology in order to assess its suitability. 2024 IEEE.
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Kumar A.; Mallik S.; Mishra S.; Sharma V.; Hewage P.; Iwendi C.
Source
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4th International Conference on Innovative Practices in Technology and Management 2024, ICIPTM 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/ICIPTM59628.2024.10563904" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICIPTM59628.2024.10563904</a>
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Relation
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ISBN: 979-835030775-7
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
Kumar A., Kalinga Institute of Industrial Technology, India; Mallik S., Kalinga Institute of Industrial Technology, India; Mishra S., Kalinga Institute of Industrial Technology, India; Sharma V., Christ (Deemed to Be University), Department of Computational Sciences, Delhi NCR, India; Hewage P., University of Bolton, School of Creative Technologies, United Kingdom; Iwendi C., University of Bolton, School of Creative Technologies, United Kingdom
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Title
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Articles
Article
Faculty Publications -Articles
Dublin Core
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Title
A name given to the resource
Improved Bald Eagle Search for Optimal Allocation of D-STATCOM in Modern Electrical Distribution Networks with Emerging Loads
Subject
The topic of the resource
Agricultural load; Bald eagle search; D-statcom; Electric vehicle load; Electrical distribution networks; Loss minimization; Voltage profile improvement
Description
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Currently, modern electrical distribution networks (EDNs) are experiencing high demand with emerging electric vehicle loads and are being planned for specific load requirements such as agricultural loads. In this connection, characterization and optimization of their performance become essential in planning studies. In this paper, optimal reactive power compensation using a distribution-static synchronous compensator (D-STATCOM) is proposed with the aim of loss reduction, voltage profile improvement and voltage stability enhancement different types of loads including agricultural and electric vehicle loads. A recent efficient meta-heuristic approach, improved bald eagle search (IBES), is implemented for solving the proposed optimization problem considering different operational and planning constraints. The simulation results are performed on IEEE 33-bus for different types of load modelling. The computational efficiency of IBES is compared with basic BES and other literature works. From the results, IBES has shown superior computational characteristics than all compared works. On the other hand, the optimal location and size of D-STATCOM caused significant loss reduction, voltage profile improvement and voltage stability enhancement for kinds of loads as experiencing in the modern EDNs 2022,International Journal of Intelligent Engineering and Systems.All Rights Reserved
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Rani K.R.; Rani P.S.; Chaitanya N.; Janamala V.
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International Journal of Intelligent Engineering and Systems, Vol-15, No. 2, pp. 554-563.
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Intelligent Network and Systems Society
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2022-01-01
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<a href="https://doi.org/10.22266/ijies2022.0430.49" target="_blank" rel="noreferrer noopener">https://doi.org/10.22266/ijies2022.0430.49</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126762558&doi=10.22266%2Fijies2022.0430.49&partnerID=40&md5=3be69cbfc95d62582960c410f3ec5aab" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126762558&doi=10.22266%2fijies2022.0430.49&partnerID=40&md5=3be69cbfc95d62582960c410f3ec5aab</a>
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All Open Access; Bronze Open Access
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ISSN: 2185310X
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Online
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English
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Article
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Rani K.R., R.V.R& J.C. College of Engineering, Andhra Pradesh, Chowdavaram,Guntur, India; Rani P.S., Lakireddy Bali Reddy College of Engineering (Autonomous), Mylavaram, Jawaharlal Nehru Technological University, Andhra Pradesh, Kakinada,East Godavari, India; Chaitanya N., R.V.R& J.C. College of Engineering, Andhra Pradesh, Chowdavaram,Guntur, India; Janamala V., School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, India
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https://archives.christuniversity.in/files/original/adf23e898312d0e3ba048b987cd195eb.jpg
75c911ec6b7c23030c943a1b610c90b0
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Improved Collaborative Filtering using Evolutionary Algorithm based Feature Extraction
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Computer Science
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International Journal of Computer Applications Vol.64,No.20, pp.20-26 ISSN No. 0975-8887
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Deepa Anand
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International Journal of Computer Applications
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English
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Conference Papers
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Improved Computer Vision-based Framework for Electronic Toll Collection
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Automatic Toll Ticketing; License Plate Recognition; Siamese Network Architecture; Toll Plaza; Vehicle Fingerprinting; Vehicle Re-identification
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The world is moving towards artificial intelligence and automation because time is the most crucial asset in today's scenario. This paper proposes an automatic vehicle fingerprinting system that avoids long waiting times in toll plazas with the help of computer vision. The number plate recognition and vehicle re-identification focus on this research. Day/night IR cameras are used to get the images of the vehicle and its number plate. The VeRi776 datum, which contains real-world vehicle images, is used to facilitate the research of vehicle re-identification. The proposed framework employs Siamese model architecture to identify the attributes such as color, model, and type of vehicle. The Car License Plate Detection datum is used to evaluate the efficiency of the proposed license plate recognition system. An ensemble of image localization techniques using CNNs and application of the OCR model on the localized snapshot is used to recognize the vehicle's license plate. A combination of license plate recognition and vehicle re-identification techniques is used in the proposed framework to improve the efficiency of identifying vehicles in toll plazas 2022 IEEE.
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Mathews M.S.; Prabu M.; Pitchai A.; Roberts D.B.; Rahul G.
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Proceedings of the Confluence 2022 - 12th International Conference on Cloud Computing, Data Science and Engineering, pp. 213-216.
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Institute of Electrical and Electronics Engineers Inc.
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2022-01-01
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<a href="https://doi.org/10.1109/Confluence52989.2022.9734219" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/Confluence52989.2022.9734219</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127600404&doi=10.1109%2FConfluence52989.2022.9734219&partnerID=40&md5=b73a76452c80a09509718a851ddfe9f2" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127600404&doi=10.1109%2fConfluence52989.2022.9734219&partnerID=40&md5=b73a76452c80a09509718a851ddfe9f2</a>
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ISBN: 978-166543701-1
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Online
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English
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Conference paper
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Mathews M.S., CHRIST(Deemed To Be University), Department Of Computer Science, Bangalore, 560029, India; Prabu M., CHRIST(Deemed To Be University), Department Of Computer Science, Bangalore, 560029, India; Pitchai A., CHRIST(Deemed To Be University), Department Of Computer Science, Bangalore, 560029, India; Roberts D.B., CHRIST(Deemed To Be University), Department Of Computer Science, Bangalore, 560029, India; Rahul G., CHRIST(Deemed To Be University), Department Of Computer Science, Bangalore, 560029, India
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Conference Papers
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Improved Crypto Algorithm for High-Speed Internet of Things (IoT) Applications
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Advanced Encryption Standard; Crypto algorithm; Field Programmable Gate Array; High-speed hardware; Pipeline stages
Description
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Modern technologies focus on integrated systems based on the Internet of Things (IoT). IoT based devices are unified with various levels of high-speed internet communication, computation process, secure authentication and privacy policies. One of the significant demands of present IoT is focused on its secure high-speed communication. However, traditional authentication and secure communication find it very difficult to manage the current need for IoT applications. Therefore, the need for such a reliable high-speed IoT scheme must be addressed. This proposed title introduces an enhanced version of the Rijndael Cryptographic Algorithm (Advanced Encryption Standard AES) to obtain fast-speed IoT-based application transmission. Pipeline-based AES technique promises for the high-speed crypto process, and this secure algorithm targeted to fast-speed Field Programmable Gate Array (FPGA) hardware. Thus, high-speed AES crypto algorithms, along with FPGA hardware, will improve the efficiency of future IoT design. Our proposed method also shows the tradeoff between High-Speed communications along with various FPGA platforms. 2020, Springer Nature Switzerland AG.
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Galety M.G.; Al Atroshi C.; Arul Kumar N.; Saravanan
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Learning and Analytics in Intelligent Systems, Vol-9, pp. 281-289.
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Springer Nature
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2020-01-01
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<a href="https://doi.org/10.1007/978-3-030-38501-9_28" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-030-38501-9_28</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179861685&doi=10.1007%2F978-3-030-38501-9_28&partnerID=40&md5=11e10423f4257d9e320a4bc1b51ae13e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179861685&doi=10.1007%2f978-3-030-38501-9_28&partnerID=40&md5=11e10423f4257d9e320a4bc1b51ae13e</a>
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ISSN: 26623447
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Online
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English
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Conference paper
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Galety M.G., Department of Computer Network, Lebanese French University, KR, Erbil, Iraq; Al Atroshi C., Department of Information Technology, Lebanese French University, KR, Erbil, Iraq; Arul Kumar N., Department of Computer Science, Christ (Deemed to be University), Bangalore, India; Saravanan, CMR Institute of Technology, Bangalore, India
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https://archives.christuniversity.in/files/original/e85e102bdba2e33cb19766a46c33b5d2.pdf
bebdb0deb37050f223948275614277e6
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Improved deep learning model for detection and classification of pneumonia from x ray images /
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Computer Science
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Sarwath Unnisa - 1981319
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CHRIST (Deemed to be University)
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2024-07-11
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English
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PhD
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61000327
Title
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Improved Deep Learning Model for Detection and Classification of Pneumonia from X-Ray Images
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Computer Science
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Pneumonia is a severe respiratory disease that can lead to inflammation, fluid accumulation in lungs and breathing difficulties, which needs immediate and accurate diagnosis. Chest X-Ray images are a necessary tool to diagnose pneumonia because manual interpretation poses challenges, particularly for radiologists with less expertise. Artificial intelligence (AI), specifically Convolutional Neural Networks (CNNs), has become a significant in the field of pneumonia detection within chest X-Ray images in recent years. This research presents SarNet, a neural network model developed for the identification of pneumonia in chest X-Ray images. The study involved the compilation of dataset containing chest X-Ray images categorized as normal, pneumonia, and COVID-19 pneumonia cases, each accompanied by appropriate annotations. This dataset was employed as the basis for training and assessing SarNet's performance, underscoring its promise in transforming the diagnosis of pneumonia. SarNet proved highly effective, achieving good accuracy, sensitivity, and specificity compared to traditional diagnostic methods. The model's simplicity, with 41 layers, strikes a balance between depth and computational complexity, enhancing efficiency and ensuring accurate pneumonia detection. Furthermore, the study expanded its scope to include COVID-19 pneumonia detection. SarNet achieved an accuracy of 99.15% in binary classification and 94.9% in multiclass classification, including healthy, pneumonia, and COVID-19 pneumonia cases.
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Sarwath, Unnisa
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Author's Submission
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Christ(Deemed to be University)
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2024-01-01
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Vijayalakshmi, A
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Open Access
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PDF
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English
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PhD
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<a href="http://hdl.handle.net/10603/570001" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/570001</a>
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Articles
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Improved dhoa-fuzzy based load scheduling in iot cloud environment
Subject
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Cloud computing; Fuzzy logic; Internet of things; Load scheduling; Metaheuristics
Description
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Internet of things (IoT) has been significantly raised owing to the development of broadband access network, machine learning (ML), big data analytics (BDA), cloud computing (CC), and so on. The development of IoT technologies has resulted in a massive quantity of data due to the existence of several people linking through distinct physical components, indicating the status of the CC environment. In the IoT, load scheduling is realistic technique in distinct data center to guarantee the network suitability by falling the computer hardware and software catastrophe and with right utilize of resource. The ideal load balancer improves many factors of Quality of Service (QoS) like resource performance, scalability, response time, error tolerance, and efficiency. The scholar is assumed as load scheduling a vital problem in IoT environment. There are many techniques accessible to load scheduling in IoT environments.With this motivation, this paper presents an improved deer hunting optimization algorithm with Type II fuzzy logic (IDHOA-T2F) model for load scheduling in IoT environment. The goal of the IDHOA-T2F is to diminish the energy utilization of integrated circuit of IoT node and enhance the load scheduling in IoT environments. The IDHOA technique is derived by integrating the concepts of Nelder Mead (NM) with the DHOA. The proposed model also synthesized the T2L based on fuzzy logic (FL) systems to counterbalance the load distribution. The proposed model finds useful to improve the efficiency of IoT system. For validating the enhanced load scheduling performance of the IDHOA-T2F technique, a series of simulations take place to highlight the improved performance. The experimental outcomes demonstrate the capable outcome of the IDHOA-T2F technique over the recent techniques. 2022 Tech Science Press. All rights reserved.
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Joshua Samuel Raj R.; Ilango V.; Thomas P.; Uma V.R.; Al-Wesabi F.N.; Marzouk R.; Hilal A.M.
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Computers, Materials and Continua, Vol-71, No. 2, pp. 4101-4114.
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Tech Science Press
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2022-01-01
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<a href="https://doi.org/10.32604/cmc.2022.022063" target="_blank" rel="noreferrer noopener">https://doi.org/10.32604/cmc.2022.022063</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120801301&doi=10.32604%2Fcmc.2022.022063&partnerID=40&md5=0a6c802914a3da1d57738db9a03f8aed" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120801301&doi=10.32604%2fcmc.2022.022063&partnerID=40&md5=0a6c802914a3da1d57738db9a03f8aed</a>
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All Open Access; Gold Open Access
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ISSN: 15462218
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Online
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English
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Article
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Joshua Samuel Raj R., Department of Information Science and Engineering, CMR Institute of Technology, Bengaluru, 560037, India; Ilango V., Department of Computer Application, CMR Institute of Technology, Bangalore, 560037, India; Thomas P., School of Computing, Woldia Institute of Technology, Woldia University, Ethiopia, Ethiopia; Uma V.R., Department of Commerce, School of Commerce. Finance and Accountancy, Christ University, Bangalore, 560029, India; Al-Wesabi F.N., Department of Computer Science, College of Science and Art at Mahayil, King Khalid University, Saudi Arabia, Faculty of Computer and IT, Sana'a University, Yemen, Yemen; Marzouk R., Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Saudi Arabia; Hilal A.M., Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam bin Abdulaziz University, Alkharj, Saudi Arabia
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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Title
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Improved diabetes disease prediction IWFO model using machine learning algorithms
Description
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Diabetic disease is the mostly affected and massive disease on a global level. Diagnosing the diabetic earlier will help the medicalist to give the improved and latest clinical treatment. The healthcare specialist unit uses many machine learning techniques, methodologies and tools for decision making in diabetic field. The machine learning techniques are utilized for the prediction of the diabetic diseases in the initial level. To eliminate such issues, optimized detection techniques are proposed. First of all, the training samples are increased using the sliding window protocol. Further, class imbalanced training data classes are balanced and resolved using the adaptive and gradient booster technique. Further, the diabetic feature selection process is improved by the Intensity Weighted Firefly Optimization firefly techniques (IWFO), in which irrelevant features are reduced based on the correlation between the features that deducts the unwanted features involved in the diabetic disease process. Then the feature transformation problem is faced by the PCA technique, which manages the several types of features. Finally, the improved and optimal hybrid random forest is applied into the normal and diabetes classes respectively. The proposed system predicts the diabetic disease efficiently and maximizes its precision of the prediction system. The present paper is compared with different classifiers to determine the efficiency of the work. Overall, the initiated system improved the present studies accuracy level. 2024 Author(s).
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Gunavathi R.; Sivakumar V.; Kumar B.S.; Vijayalakshmi S.
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AIP Conference Proceedings, Vol-3161, No. 1
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American Institute of Physics
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2024-01-01
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<a href="https://doi.org/10.1063/5.0229494" target="_blank" rel="noreferrer noopener">https://doi.org/10.1063/5.0229494</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203957539&doi=10.1063%2F5.0229494&partnerID=40&md5=72023ea6c153c360ab409219e1ca248a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203957539&doi=10.1063%2f5.0229494&partnerID=40&md5=72023ea6c153c360ab409219e1ca248a</a>
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ISSN: 0094243X
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Online
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English
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Conference paper
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Gunavathi R., School of Science, Department of Data Science, Christ University, Pune, India; Sivakumar V., School of Computing, Asia Pacific University of Technology and Innovation, Kuala Lumpur, Malaysia; Kumar B.S., Department of Computer Science, Sree Narayana Guru College, Coimbatore, India; Vijayalakshmi S., School of Science, Department of Data Science, Christ University, Pune, India
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Improved dragonfly optimizer for intrusion detection using deep clustering CNN-PSO classifier
Subject
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Binning normalization; Convolutional neural network; Deep clustering; Dragonfly optimizer; Information gain; Intrusion detection system
Description
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With the rapid growth of internet based services and the data generated on these services are attracted by the attackers to intrude the networking services and information. Based on the characteristics of these intruders, many researchers attempted to aim to detect the intrusion with the help of automating process. Since, the large volume of data is generated and transferred through network, the security and performance are remained an issue. IDS (Intrusion Detection System) was developed to detect and prevent the intruders and secure the network systems. The performance and loss are still an issue because of the features space grows while detecting the intruders. In this paper, deep clustering based CNN have been used to detect the intruders with the help of Meta heuristic algorithms for feature selection and preprocessing. The proposed system includes three phases such as preprocessing, feature selection and classification. In the first phase, KDD dataset is preprocessed by using Binning normalization and Eigen-PCA based discretization method. In second phase, feature selection is performed by using Information Gain based Dragonfly Optimizer (IGDFO). Finally, Deep clustering based Convolutional Neural Network (CCNN) classifier optimized with Particle Swarm Optimization (PSO) identifies intrusion attacks efficiently. The clustering loss and network loss can be reduced with the optimization algorithm. We evaluate the proposed IDS model with the NSL-KDD dataset in terms of evaluation metrics. The experimental results show that proposed system achieves better performance compared with the existing system in terms of accuracy, precision, recall, f-measure and false detection rate. 2022 Tech Science Press. All rights reserved.
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Bhuvaneshwari K.S.; Venkatachalam K.; HubovskS.; TrojovskP.; Prabu P.
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Computers, Materials and Continua, Vol-70, No. 3, pp. 5949-5965.
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Tech Science Press
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2022-01-01
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<a href="https://doi.org/10.32604/cmc.2022.020769" target="_blank" rel="noreferrer noopener">https://doi.org/10.32604/cmc.2022.020769</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116961790&doi=10.32604%2Fcmc.2022.020769&partnerID=40&md5=4d98f0abf4c09995af53fc9293f2ae63" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116961790&doi=10.32604%2fcmc.2022.020769&partnerID=40&md5=4d98f0abf4c09995af53fc9293f2ae63</a>
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All Open Access; Gold Open Access
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ISSN: 15462218
Format
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Online
Language
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English
Type
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Article
Coverage
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Bhuvaneshwari K.S., Department of Computer Sceince and Engineering, Karpagam College of Engineering, Coimbatore, 641032, India; Venkatachalam K., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, 560074, India; HubovskS., Department of Applied Cybernetics, Faculty of Science, University of Hradec Krov Hradec Krov 50003, Czech Republic; TrojovskP., Department of Mathematics, Faculty of Science, University of Hradec Krov Hradec Krov 50003, Czech Republic; Prabu P., Department of Computer Sceince, CHRIST(Deemed to be University), Bangalore, 560074, India
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Articles
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Improved Feature Selection Method for the Identification of Soil Images Using Oscillating Spider Monkey Optimization
Subject
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Feature selection; Perturbation rate; smart agriculture; Soil prediction; Spider monkey optimization
Description
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Precision agriculture is the process that uses information and communication technology for farming and cultivation to improve overall productivity, efficient utilization of resources. Soil prediction is one of the primary phases in precision agriculture, resulting in good quality crops. In general, farmers perform the soil prediction manually. However, the efficiency of soil prediction may be enhanced by using current digital technologies. One effective way to automate soil prediction is image processing techniques in which soil images may be analyzed to determine the soil. This paper presents an efficient image analysis technique to predict the soil. For the same, a robust feature selection technique has been incorporated in the image analysis of soil images. The developed feature selection technique uses a new oscillating spider monkey optimization algorithm (OSMO) for the selection of features that are relevant and non-redundant. The new oscillating spider monkey optimization algorithm increases precision and convergence behavior by using an oscillating perturbation rate. A set of standard benchmark functions was deployed to visualize the performance of the new optimization technique (OSMO), and results were compared based on mean and standard deviation. Furthermore, the soil prediction approach is validated on a soil dataset, having seven categories. The proposed feature selection method selects the 41% relevant features, which provide the highest accuracy of 82.25% with 2.85% increase. 2013 IEEE.
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Agarwal R.; Shekhawat N.S.; Kumar S.; Nayyar A.; Qureshi B.
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IEEE Access, Vol-9, pp. 167128-167139.
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Institute of Electrical and Electronics Engineers Inc.
Date
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2021-01-01
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<a href="https://doi.org/10.1109/ACCESS.2021.3135536" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ACCESS.2021.3135536</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121809681&doi=10.1109%2FACCESS.2021.3135536&partnerID=40&md5=14b4ba5a8369d9e11cbc03c17ad96887" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121809681&doi=10.1109%2fACCESS.2021.3135536&partnerID=40&md5=14b4ba5a8369d9e11cbc03c17ad96887</a>
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All Open Access; Gold Open Access
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ISSN: 21693536
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Online
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English
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Article
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Agarwal R., Department of Computer Science and Engineering, Engineering College Bikaner, Bikaner, 334004, India; Shekhawat N.S., Department of Computer Science and Engineering, Engineering College Bikaner, Bikaner, 334004, India; Kumar S., Department of Computer Science and Engineering, CHRIST (Deemed to Be University), Bengaluru, Karnataka, 560074, India; Nayyar A., Graduate School, Duy Tan University, Da Nang, 550000, Viet Nam, Faculty of Information Technology, Duy Tan University, Da Nang, 550000, Viet Nam; Qureshi B., Department of Computer Science, Prince Sultan University, Riyadh, 11586, Saudi Arabia
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Conference Papers
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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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Improved File Security System Using Multiple Image Steganography
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Batch Steganography; File security; Image Steganography; Multiple image steganography
Description
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Steganography is the process of hiding a secret message within an ordinary message extracting it at its destination. Image steganography is one of the most common and secure forms of steganography available today. Traditional steganography techniques use a single cover image to embed the secret data which has few security shortcomings. Therefore, batch steganography has been adopted which stores data on multiple images. In this paper, a novel approach is proposed for slicing the secret data and storing it on multiple cover images. In addition, retrieval of this secret data from the cover images on the destination side has also been discussed. The data slicing ensures secure transmission of the vital data making it merely impossible for the intruder to decrypt the data without the encrypting details. 2019 IEEE.
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Benedict A.G.
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2019 International Conference on Data Science and Communication, IconDSC 2019
Publisher
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Institute of Electrical and Electronics Engineers Inc.
Date
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2019-01-01
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<a href="https://doi.org/10.1109/IconDSC.2019.8816946" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IconDSC.2019.8816946</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072780086&doi=10.1109%2FIconDSC.2019.8816946&partnerID=40&md5=24495efc3be314480bb76fd623b0da6f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072780086&doi=10.1109%2fIconDSC.2019.8816946&partnerID=40&md5=24495efc3be314480bb76fd623b0da6f</a>
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Restricted Access
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ISBN: 978-153869319-3
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Online
Language
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English
Type
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Conference paper
Coverage
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Benedict A.G., Computer Science and Engineering, Faculty of Engineering, Christ, Deemed to be University, Bengaluru, India