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              <text>Bibliographic Analysis of Soft Computing Components from 1999 2018 in India</text>
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              <text>Machine Learning; Neural Networks; Scopus; Soft Computing; VOS Viewer</text>
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              <text>The core component of the Soft Computing (SC) domain gives outstanding performances for solving problems compared to other problems solving techniques. In order to solve difficult problems, the majority of researchers are concentrating on the soft computing field. The sub-domains of the soft computing field include Genetic Algorithms, Fuzzy Logic, Machine Learning, Neural Networks, and others. In this paper, we aimed to investigate the contributions made by Indian organizations and authors on the topic of soft computing and its applications for the years 1999 to 2018 for the Scopus database. The study confirmed that the most number of papers published in the neural network with a count of 2127 and the most productive author was M.ChintamaniDeo, with 22 papers with the highest h-index and the Indian Institute of Technology, The most productive institution in the subject of Soft Computing is Roorkee, which has contributed 109 publications overall, garnered 355 citations, and has an h-index of 9. This led us to the conclusion that, in comparison to other sub-domains in the field of Soft Computing and its Applications, Indian Institutions and Indian Authors have produced the majority of publications in Neural Networks and Artificial Intelligence.  2024, Ismail Saritas. All rights reserved.</text>
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              <text>Barathkesavan M.; Kartheeban K.; Sivasakthivel S.R.; Rajagopal M.</text>
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              <text>International Journal of Intelligent Systems and Applications in Engineering, Vol-12, No. 2s, pp. 322-337.</text>
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              <text>Ismail Saritas</text>
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              <text>2024-01-01</text>
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              <text>&lt;a href="" target="_blank" rel="noreferrer noopener"&gt;&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177856018&amp;amp;partnerID=40&amp;amp;md5=2b406433d30737da8ffa6912af601089" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177856018&amp;amp;partnerID=40&amp;amp;md5=2b406433d30737da8ffa6912af601089&lt;/a&gt;</text>
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              <text>Restricted Access</text>
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              <text>ISSN: 21476799</text>
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              <text>Online</text>
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              <text>English</text>
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              <text>Barathkesavan M., International Research Center, School of Computing, Kalasalingam Academy of Research and Education, Virudhunagar (Dt), Krishnankoil, India; Kartheeban K., International Research Center, School of Computing, Kalasalingam Academy of Research and Education, Virudhunagar (Dt), Krishnankoil, India; Sivasakthivel S.R., Department of Computer Science, School of Sciences, CHRIST (Deemed to be University), Bangalore, India; Rajagopal M., Lean Operations and Systems, School of Business and Management, CHRIST (Deemed to be University), Bangalore, India</text>
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