{"id":126,"date":"2024-06-25T04:12:16","date_gmt":"2024-06-25T04:12:16","guid":{"rendered":"https:\/\/fts.vau.ac.lk\/dept\/?page_id=126"},"modified":"2024-06-25T06:12:08","modified_gmt":"2024-06-25T06:12:08","slug":"publications","status":"publish","type":"page","link":"https:\/\/fts.vau.ac.lk\/dept\/index.php\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"\t\t
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Publication<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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  • Krishnananthan, Sujatha, Puvanendran Sanjeeth, and Rukshani Puvanendran. “Accuracy of Diabetes Patient Determination: Prediction Made from Sugar Levels UsingMachine Learning.” In Smart Trends in Computing and Communications, pp. 495-504. Springer, Singapore, 2022.<\/li>
  • Pirunthavi Sivakumar, Kularasasingam Wijikumar, Contribution of IT to Implementation of Digital Learning in State Universities of Sri Lanka during the Covid-19 Pandemic, Advances in Technology, 2022.<\/li>
  • K. Santhanakrishnan, V. Senthooran, “A parallel distributed cluster computing model for Z-Score computation in respect of Sri Lankan University Admissions”, International
    Conference on Advanced Research in Computing, 2022.<\/li>
  • P.Premisha, K.Mauran, S.Prasanth, K.Banujan, “An Ensemble Machine Learning Approach for Stroke Prediction”, International Research Conference on Smart Computing & Systems Engineering 2022.<\/li>
  • K.Mauran, P.Premisha, S.Prasanth, K.Banujan, “Consideration of sleeping habits to detect the stress in human using XGBoost, International Research Conference of Uwa Wellasa University-2022.<\/li><\/ul><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t
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    • Krishnananthan, Sujatha, Puvanendran Sanjeeth, and Rukshani Puvanendran. “Accuracy of Diabetes Patient Determination: Prediction Made from Sugar Levels UsingMachine Learning.” In Smart Trends in Computing and Communications, pp. 495-504. Springer, Singapore, 2022.<\/li>
    • Pirunthavi Sivakumar, Kularasasingam Wijikumar, Contribution of IT to Implementation of Digital Learning in State Universities of Sri Lanka during the Covid-19 Pandemic, Advances in Technology, 2022.<\/li>
    • K. Santhanakrishnan, V. Senthooran, “A parallel distributed cluster computing model for Z-Score computation in respect of Sri Lankan University Admissions”, International
      Conference on Advanced Research in Computing, 2022.<\/li>
    • P.Premisha, K.Mauran, S.Prasanth, K.Banujan, “An Ensemble Machine Learning Approach for Stroke Prediction”, International Research Conference on Smart Computing & Systems Engineering 2022.<\/li>
    • K.Mauran, P.Premisha, S.Prasanth, K.Banujan, “Consideration of sleeping habits to detect the stress in human using XGBoost, International Research Conference of Uwa Wellasa University-2022.<\/li><\/ul><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t
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      • Krishnananthan, Sujatha, Puvanendran Sanjeeth, and Rukshani Puvanendran. “Accuracy of Diabetes Patient Determination: Prediction Made from Sugar Levels UsingMachine Learning.” In Smart Trends in Computing and Communications, pp. 495-504. Springer, Singapore, 2022.<\/li>
      • Pirunthavi Sivakumar, Kularasasingam Wijikumar, Contribution of IT to Implementation of Digital Learning in State Universities of Sri Lanka during the Covid-19 Pandemic, Advances in Technology, 2022.<\/li>
      • K. Santhanakrishnan, V. Senthooran, “A parallel distributed cluster computing model for Z-Score computation in respect of Sri Lankan University Admissions”, International
        Conference on Advanced Research in Computing, 2022.<\/li>
      • P.Premisha, K.Mauran, S.Prasanth, K.Banujan, “An Ensemble Machine Learning Approach for Stroke Prediction”, International Research Conference on Smart Computing & Systems Engineering 2022.<\/li>
      • K.Mauran, P.Premisha, S.Prasanth, K.Banujan, “Consideration of sleeping habits to detect the stress in human using XGBoost, International Research Conference of Uwa Wellasa University-2022.<\/li><\/ul><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t
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        \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t2019<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t
        • Krishnananthan, Sujatha, Puvanendran Sanjeeth, and Rukshani Puvanendran. “Accuracy of Diabetes Patient Determination: Prediction Made from Sugar Levels UsingMachine Learning.” In Smart Trends in Computing and Communications, pp. 495-504. Springer, Singapore, 2022.<\/li>
        • Pirunthavi Sivakumar, Kularasasingam Wijikumar, Contribution of IT to Implementation of Digital Learning in State Universities of Sri Lanka during the Covid-19 Pandemic, Advances in Technology, 2022.<\/li>
        • K. Santhanakrishnan, V. Senthooran, “A parallel distributed cluster computing model for Z-Score computation in respect of Sri Lankan University Admissions”, International
          Conference on Advanced Research in Computing, 2022.<\/li>
        • P.Premisha, K.Mauran, S.Prasanth, K.Banujan, “An Ensemble Machine Learning Approach for Stroke Prediction”, International Research Conference on Smart Computing & Systems Engineering 2022.<\/li>
        • K.Mauran, P.Premisha, S.Prasanth, K.Banujan, “Consideration of sleeping habits to detect the stress in human using XGBoost, International Research Conference of Uwa Wellasa University-2022.<\/li><\/ul><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t
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          • Krishnananthan, Sujatha, Puvanendran Sanjeeth, and Rukshani Puvanendran. “Accuracy of Diabetes Patient Determination: Prediction Made from Sugar Levels UsingMachine Learning.” In Smart Trends in Computing and Communications, pp. 495-504. Springer, Singapore, 2022.<\/li>
          • Pirunthavi Sivakumar, Kularasasingam Wijikumar, Contribution of IT to Implementation of Digital Learning in State Universities of Sri Lanka during the Covid-19 Pandemic, Advances in Technology, 2022.<\/li>
          • K. Santhanakrishnan, V. Senthooran, “A parallel distributed cluster computing model for Z-Score computation in respect of Sri Lankan University Admissions”, International
            Conference on Advanced Research in Computing, 2022.<\/li>
          • P.Premisha, K.Mauran, S.Prasanth, K.Banujan, “An Ensemble Machine Learning Approach for Stroke Prediction”, International Research Conference on Smart Computing & Systems Engineering 2022.<\/li>
          • K.Mauran, P.Premisha, S.Prasanth, K.Banujan, “Consideration of sleeping habits to detect the stress in human using XGBoost, International Research Conference of Uwa Wellasa University-2022.<\/li><\/ul><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t
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            • Krishnananthan, Sujatha, Puvanendran Sanjeeth, and Rukshani Puvanendran. “Accuracy of Diabetes Patient Determination: Prediction Made from Sugar Levels UsingMachine Learning.” In Smart Trends in Computing and Communications, pp. 495-504. Springer, Singapore, 2022.<\/li>
            • Pirunthavi Sivakumar, Kularasasingam Wijikumar, Contribution of IT to Implementation of Digital Learning in State Universities of Sri Lanka during the Covid-19 Pandemic, Advances in Technology, 2022.<\/li>
            • K. Santhanakrishnan, V. Senthooran, “A parallel distributed cluster computing model for Z-Score computation in respect of Sri Lankan University Admissions”, International
              Conference on Advanced Research in Computing, 2022.<\/li>
            • P.Premisha, K.Mauran, S.Prasanth, K.Banujan, “An Ensemble Machine Learning Approach for Stroke Prediction”, International Research Conference on Smart Computing & Systems Engineering 2022.<\/li>
            • K.Mauran, P.Premisha, S.Prasanth, K.Banujan, “Consideration of sleeping habits to detect the stress in human using XGBoost, International Research Conference of Uwa Wellasa University-2022.<\/li><\/ul><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t
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              • Krishnananthan, Sujatha, Puvanendran Sanjeeth, and Rukshani Puvanendran. “Accuracy of Diabetes Patient Determination: Prediction Made from Sugar Levels UsingMachine Learning.” In Smart Trends in Computing and Communications, pp. 495-504. Springer, Singapore, 2022.<\/li>
              • Pirunthavi Sivakumar, Kularasasingam Wijikumar, Contribution of IT to Implementation of Digital Learning in State Universities of Sri Lanka during the Covid-19 Pandemic, Advances in Technology, 2022.<\/li>
              • K. Santhanakrishnan, V. Senthooran, “A parallel distributed cluster computing model for Z-Score computation in respect of Sri Lankan University Admissions”, International
                Conference on Advanced Research in Computing, 2022.<\/li>
              • P.Premisha, K.Mauran, S.Prasanth, K.Banujan, “An Ensemble Machine Learning Approach for Stroke Prediction”, International Research Conference on Smart Computing & Systems Engineering 2022.<\/li>
              • K.Mauran, P.Premisha, S.Prasanth, K.Banujan, “Consideration of sleeping habits to detect the stress in human using XGBoost, International Research Conference of Uwa Wellasa University-2022.<\/li><\/ul><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t
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                • Krishnananthan, Sujatha, Puvanendran Sanjeeth, and Rukshani Puvanendran. “Accuracy of Diabetes Patient Determination: Prediction Made from Sugar Levels UsingMachine Learning.” In Smart Trends in Computing and Communications, pp. 495-504. Springer, Singapore, 2022.<\/li>
                • Pirunthavi Sivakumar, Kularasasingam Wijikumar, Contribution of IT to Implementation of Digital Learning in State Universities of Sri Lanka during the Covid-19 Pandemic, Advances in Technology, 2022.<\/li>
                • K. Santhanakrishnan, V. Senthooran, “A parallel distributed cluster computing model for Z-Score computation in respect of Sri Lankan University Admissions”, International
                  Conference on Advanced Research in Computing, 2022.<\/li>
                • P.Premisha, K.Mauran, S.Prasanth, K.Banujan, “An Ensemble Machine Learning Approach for Stroke Prediction”, International Research Conference on Smart Computing & Systems Engineering 2022.<\/li>
                • K.Mauran, P.Premisha, S.Prasanth, K.Banujan, “Consideration of sleeping habits to detect the stress in human using XGBoost, International Research Conference of Uwa Wellasa University-2022.<\/li><\/ul><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t
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                  • Krishnananthan, Sujatha, Puvanendran Sanjeeth, and Rukshani Puvanendran. “Accuracy of Diabetes Patient Determination: Prediction Made from Sugar Levels UsingMachine Learning.” In Smart Trends in Computing and Communications, pp. 495-504. Springer, Singapore, 2022.<\/li>
                  • Pirunthavi Sivakumar, Kularasasingam Wijikumar, Contribution of IT to Implementation of Digital Learning in State Universities of Sri Lanka during the Covid-19 Pandemic, Advances in Technology, 2022.<\/li>
                  • K. Santhanakrishnan, V. Senthooran, “A parallel distributed cluster computing model for Z-Score computation in respect of Sri Lankan University Admissions”, International
                    Conference on Advanced Research in Computing, 2022.<\/li>
                  • P.Premisha, K.Mauran, S.Prasanth, K.Banujan, “An Ensemble Machine Learning Approach for Stroke Prediction”, International Research Conference on Smart Computing & Systems Engineering 2022.<\/li>
                  • K.Mauran, P.Premisha, S.Prasanth, K.Banujan, “Consideration of sleeping habits to detect the stress in human using XGBoost, International Research Conference of Uwa Wellasa University-2022.<\/li><\/ul><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t
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                    \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t2013<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t
                    • Krishnananthan, Sujatha, Puvanendran Sanjeeth, and Rukshani Puvanendran. “Accuracy of Diabetes Patient Determination: Prediction Made from Sugar Levels UsingMachine Learning.” In Smart Trends in Computing and Communications, pp. 495-504. Springer, Singapore, 2022.<\/li>
                    • Pirunthavi Sivakumar, Kularasasingam Wijikumar, Contribution of IT to Implementation of Digital Learning in State Universities of Sri Lanka during the Covid-19 Pandemic, Advances in Technology, 2022.<\/li>
                    • K. Santhanakrishnan, V. Senthooran, “A parallel distributed cluster computing model for Z-Score computation in respect of Sri Lankan University Admissions”, International
                      Conference on Advanced Research in Computing, 2022.<\/li>
                    • P.Premisha, K.Mauran, S.Prasanth, K.Banujan, “An Ensemble Machine Learning Approach for Stroke Prediction”, International Research Conference on Smart Computing & Systems Engineering 2022.<\/li>
                    • K.Mauran, P.Premisha, S.Prasanth, K.Banujan, “Consideration of sleeping habits to detect the stress in human using XGBoost, International Research Conference of Uwa Wellasa University-2022.<\/li><\/ul><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t
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                      \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t2012<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t
                      • Krishnananthan, Sujatha, Puvanendran Sanjeeth, and Rukshani Puvanendran. “Accuracy of Diabetes Patient Determination: Prediction Made from Sugar Levels UsingMachine Learning.” In Smart Trends in Computing and Communications, pp. 495-504. Springer, Singapore, 2022.<\/li>
                      • Pirunthavi Sivakumar, Kularasasingam Wijikumar, Contribution of IT to Implementation of Digital Learning in State Universities of Sri Lanka during the Covid-19 Pandemic, Advances in Technology, 2022.<\/li>
                      • K. Santhanakrishnan, V. Senthooran, “A parallel distributed cluster computing model for Z-Score computation in respect of Sri Lankan University Admissions”, International
                        Conference on Advanced Research in Computing, 2022.<\/li>
                      • P.Premisha, K.Mauran, S.Prasanth, K.Banujan, “An Ensemble Machine Learning Approach for Stroke Prediction”, International Research Conference on Smart Computing & Systems Engineering 2022.<\/li>
                      • K.Mauran, P.Premisha, S.Prasanth, K.Banujan, “Consideration of sleeping habits to detect the stress in human using XGBoost, International Research Conference of Uwa Wellasa University-2022.<\/li><\/ul><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t
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                        \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t2011<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t
                        • Krishnananthan, Sujatha, Puvanendran Sanjeeth, and Rukshani Puvanendran. “Accuracy of Diabetes Patient Determination: Prediction Made from Sugar Levels UsingMachine Learning.” In Smart Trends in Computing and Communications, pp. 495-504. Springer, Singapore, 2022.<\/li>
                        • Pirunthavi Sivakumar, Kularasasingam Wijikumar, Contribution of IT to Implementation of Digital Learning in State Universities of Sri Lanka during the Covid-19 Pandemic, Advances in Technology, 2022.<\/li>
                        • K. Santhanakrishnan, V. Senthooran, “A parallel distributed cluster computing model for Z-Score computation in respect of Sri Lankan University Admissions”, International
                          Conference on Advanced Research in Computing, 2022.<\/li>
                        • P.Premisha, K.Mauran, S.Prasanth, K.Banujan, “An Ensemble Machine Learning Approach for Stroke Prediction”, International Research Conference on Smart Computing & Systems Engineering 2022.<\/li>
                        • K.Mauran, P.Premisha, S.Prasanth, K.Banujan, “Consideration of sleeping habits to detect the stress in human using XGBoost, International Research Conference of Uwa Wellasa University-2022.<\/li><\/ul><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

                          Publication 2022 Krishnananthan, Sujatha, Puvanendran Sanjeeth, and Rukshani Puvanendran. “Accuracy of Diabetes Patient Determination: Prediction Made from Sugar Levels UsingMachine Learning.” In Smart Trends in Computing and Communications, pp. 495-504. Springer, Singapore, 2022. Pirunthavi Sivakumar, Kularasasingam Wijikumar, Contribution of IT to Implementation of Digital Learning in State Universities of Sri Lanka during the Covid-19 Pandemic, […]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"footnotes":""},"class_list":["post-126","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/fts.vau.ac.lk\/dept\/index.php\/wp-json\/wp\/v2\/pages\/126","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/fts.vau.ac.lk\/dept\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/fts.vau.ac.lk\/dept\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/fts.vau.ac.lk\/dept\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/fts.vau.ac.lk\/dept\/index.php\/wp-json\/wp\/v2\/comments?post=126"}],"version-history":[{"count":10,"href":"https:\/\/fts.vau.ac.lk\/dept\/index.php\/wp-json\/wp\/v2\/pages\/126\/revisions"}],"predecessor-version":[{"id":185,"href":"https:\/\/fts.vau.ac.lk\/dept\/index.php\/wp-json\/wp\/v2\/pages\/126\/revisions\/185"}],"wp:attachment":[{"href":"https:\/\/fts.vau.ac.lk\/dept\/index.php\/wp-json\/wp\/v2\/media?parent=126"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}