Items where Author is "Su, 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.

Aole, S. and Elamvazuthi, I. and Waghmare, L. and Patre, B. and Bhaskarwar, T. and Meriaudeau, F. and Su, S. (2022) Active Disturbance Rejection Control Based Sinusoidal Trajectory Tracking for an Upper Limb Robotic Rehabilitation Exoskeleton. Applied Sciences (Switzerland), 12 (3).

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

Nurhanim, K. and Elamvazuthi, I. and Izhar, L.I. and Capi, G. and Su, S. (2021) EMG Signals Classification on Human Activity Recognition using Machine Learning Algorithm. In: UNSPECIFIED.

Candra, H. and Yuwono, M. and Chai, R. and Handojoseno, A. and Elamvazuthi, I. and Nguyen, H.T. and Su, S. (2015) Investigation of window size in classification of EEG-emotion signal with wavelet entropy and support vector machine. In: UNSPECIFIED.