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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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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, Advances in Technology, 2022.
  • 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.
  • 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.
  • 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.
  • 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, Advances in Technology, 2022.
  • 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.
  • 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.
  • 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.
  • 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, Advances in Technology, 2022.
  • 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.
  • 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.
  • 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.
  • 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, Advances in Technology, 2022.
  • 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.
  • 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.
  • 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.
  • 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, Advances in Technology, 2022.
  • 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.
  • 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.
  • 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.
  • 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, Advances in Technology, 2022.
  • 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.
  • 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.
  • 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.
  • 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, Advances in Technology, 2022.
  • 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.
  • 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.
  • 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.
  • 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, Advances in Technology, 2022.
  • 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.
  • 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.
  • 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.
  • 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, Advances in Technology, 2022.
  • 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.
  • 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.
  • 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.
  • 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, Advances in Technology, 2022.
  • 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.
  • 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.
  • 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.
  • 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, Advances in Technology, 2022.
  • 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.
  • 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.
  • 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.