Items where Author is "Paramasivam, S."
Article
Elashmawy, M.A. and Elamvazuthi, I. and Izhar, L.I. and Paramasivam, S. and Su, S. (2023) Detection of Tuberculosis Based on Hybridized Pre-Processing Deep Learning Method. International Journal of Advanced Computer Science and Applications, 14 (8). pp. 69-76.
Reddy, K.V.V. and Elamvazuthi, I. and Aziz, A.A. and Paramasivam, S. and Chua, H.N. and Pranavanand, S. (2023) An Efficient Prediction System for Coronary Heart Disease Risk Using Selected Principal Components and Hyperparameter Optimization. Applied Sciences (Switzerland), 13 (1).
Gadipudi, N. and Elamvazuthi, I. and Lu, C.-K. and Paramasivam, S. and Su, S. (2022) Lightweight spatial attentive network for vehicular visual odometry estimation in urban environments. Neural Computing and Applications.
Gadipudi, N. and Elamvazuthi, I. and Lu, C.-K. and Paramasivam, S. and Su, S. (2022) Lightweight spatial attentive network for vehicular visual odometry estimation in urban environments. Neural Computing and Applications.
Gadipudi, N. and Elamvazuthi, I. and Lu, C.-K. and Paramasivam, S. and Su, S. (2021) WPO-net: Windowed pose optimization network for monocular visual odometry estimation. Sensors, 21 (23).
Conference or Workshop Item
Gadipudi, N. and Elamvazuthi, I. and Lu, C.-K. and Paramasivam, S. and Jegadeeshwaran, R. (2021) Analysis of Unsupervised Loss Functions for Homography Estimation. In: UNSPECIFIED.
Reddy, K.V.V. and Elamvazuthi, I. and Aziz, A.A. and Paramasivam, S. and Chua, H.N. (2021) Heart Disease Risk Prediction using Machine Learning with Principal Component Analysis. In: UNSPECIFIED.
Elashmawy, A.M.A. and Elamvazuthi, I. and Ali, S.S.A. and Natarajan, E. and Paramasivam, S. (2021) A Hybridized Pre-Processing Method for Detecting Tuberculosis using Deep Learning. In: UNSPECIFIED.
Reddy, K.V.V. and Elamvazuthi, I. and Aziz, A.A. and Paramasivam, S. and Chua, H.N. and Pranavanand, S. (2021) Prediction of Heart Disease Risk Using Machine Learning with Correlation-based Feature Selection and Optimization Techniques. In: UNSPECIFIED.
Reddy, K.V.V. and Elamvazuthi, I. and Aziz, A.A. and Paramasivam, S. and Chua, H.N. and Pranavanand, S. (2021) Rotation Forest Ensemble Classifier to Improve the Cardiovascular Disease Risk Prediction Accuracy. In: UNSPECIFIED.