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14 results for “P. Kalaivani”

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Research ArticleOpen accessIn the author namesReprocess of Copper from Worn Printed Circuit BoardsSwarnambiga A.K., M. Vidya Kalaivani, Sarah Sathyawathi, T.S. Ramyaa LakshmiThe objective of the study is to reuse printed circuit boards which are mainly made of copper. Most top down and bottom up approaches for the synthesis of Copper nanoparticles (CuNPs) needs pure copper (II) sulfate or any other copper salts as a raw material. For the expensive non-ecofriendly reasons, here we used wasted Printed Circuit Boards (PCBs) as an … …OnLine Journal of Biological Sciences, Vol. 19, Issue 1 · 12 Feb 2019 · 7,486 accessesView PDFCite
Research ArticleOpen accessIn the author namesImpact of Mahatma Gandhi National Rural Employment Guarantee Act Activities on Agriculture as Perceived by FarmersS. Thangamalar, S. Kalaivani, S. Palaniswamy, K.R. AshokOut of 66.00% of rural population in India, majority are landless labours depending on the mercy of employment providers for their livelihood. This population is the most vulnerable section to poverty, underemployment, access to development, etc. Therefore the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA) has been implemented by the Government of India to improve the living standards of … …Journal of Social Sciences, Vol. 12, Issue 2 · 17 Jun 2016 · 8,171 accessesView PDFCite
Research ArticleOpen accessIn the author namesAN AGENT BASED FRAMEWORK FOR SENTIMENT CLASSIFICATION OF ONLINE REVIEWS USING ONTOLOGYP. Kalaivani, K. L. ShunmuganathanIn this study, we design and develop an agent based framework for sentiment classification of online reviews using ontology. The book review ranking is based on the sentiment classification result. We propose a novel approach with the help of the JADE platform to solve problems by non-visual automatic sentiment classification. The description of book reviews ranking are generated from the … …Journal of Computer Science, Vol. 10, Issue 5 · 15 Jan 2014 · 6,748 accessesView PDFCite
Research ArticleOpen accessIn the author namesComparison of Question Answering Systems Based on Ontology and Semantic Web in Different EnvironmentS. Kalaivani, K. DuraiswamyProblem statement: Question Answering (QA) system is taking an important role in current search engine optimization concept. Natural language processing technique is mostly implemented in QA system for asking user’s question and several steps are also followed for conversion of questions to query form for getting an exact answer. Approach: This paper surveys different types of question answering system based … …Journal of Computer Science, Vol. 8, Issue 9 · 9 Aug 2012 · 8,173 accessesView PDFCite