Heart disease risk prediction using machine learning classifiers with attribute evaluators KVV Reddy, I Elamvazuthi, AA Aziz, S Paramasivam, HN Chua, ... Applied Sciences 11 (18), 8352, 2021 | 80 | 2021 |
Study of critical success factors in engineering education curriculum development using Six-Sigma methodology S Paramasivam, K Muthusamy Procedia-Social and Behavioral Sciences 56, 652-661, 2012 | 27 | 2012 |
Design and modeling of iot ir thermal temperature screening and uv disinfection sterilization system for commercial application using blockchain technology S Paramasivam, CH Shen, A Zourmand, AK Ibrahim, AM Alhassan, ... 2020 IEEE 10th International Conference on System Engineering and Technology …, 2020 | 24 | 2020 |
Heart disease risk prediction using machine learning with principal component analysis KVV Reddy, I Elamvazuthi, A Abd Aziz, S Paramasivam, HN Chua 2020 8th international conference on intelligent and advanced systems (ICIAS …, 2021 | 18 | 2021 |
An efficient prediction system for coronary heart disease risk using selected principal components and hyperparameter optimization KVV Reddy, I Elamvazuthi, AA Aziz, S Paramasivam, HN Chua, ... Applied Sciences 13 (1), 118, 2022 | 11 | 2022 |
Cost-effective and real-time SCADA home energy monitoring system S Paramasivam, L Thillainathan, H Zeynal, N Diana 2014 IEEE 8th International Power Engineering and Optimization Conference …, 2014 | 10 | 2014 |
Study of the effectiveness of the implementation of washington accord in malaysia's engineering undergraduate programme using sem S Paramasivam, K Mutusamy, K Tan Procedia-Social and Behavioral Sciences 90, 803-812, 2013 | 10 | 2013 |
Wpo-net: Windowed pose optimization network for monocular visual odometry estimation N Gadipudi, I Elamvazuthi, CK Lu, S Paramasivam, S Su Sensors 21 (23), 8155, 2021 | 8 | 2021 |
Effect of artificial night lighting on the growth of loose head lettuce in hydroponic system HS Chua, LS Wei, S Paramasivam, TT Goh, GC Chen Sains Malaysiana 49 (12), 2891-2900, 2020 | 7 | 2020 |
Prediction of Heart Disease Risk Using Machine Learning with Correlation-based Feature Selection and Optimization Techniques KVV Reddy, I Elamvazuthi, A Abd Aziz, S Paramasivam, HN Chua, ... 2021 7th International Conference on Signal Processing and Communication …, 2021 | 6 | 2021 |
Rotation forest ensemble classifier to improve the cardiovascular disease risk prediction accuracy KVV Reddy, I Elamvazuthi, A Abd Aziz, S Paramasivam, HN Chua, ... 2021 8th NAFOSTED Conference on Information and Computer Science (NICS), 404-409, 2021 | 5 | 2021 |
Perception towards development of employability skills by students: A module analysis S Paramasivam, JK Tan, K Muthusamy International Journal of Engineering and Technology 9 (6), 4353-4361, 2017 | 3 | 2017 |
Applying the PDCA continuous improvement cycle on STEM education among secondary students: An experimental study S Paramasivam, NH Saad, FP Han, GT Thing, Z Sharmilla, TNH Krishnan AIP Conference Proceedings 2571 (1), 2023 | 2 | 2023 |
Novel Feature Engineering for Heart Disease Risk Prediction Using Optimized Machine Learning VVR Karna, S Paramasivam, I Elamvazuthi, HN Chua, A Abd Aziz, ... 2022 International Conference on Future Trends in Smart Communities (ICFTSC …, 2022 | 2 | 2022 |
A Hybridized Pre-Processing Method for Detecting Tuberculosis using Deep Learning AMA Elashmawy, I Elamvazuthi, SSA Ali, E Natarajan, S Paramasivam 2020 8th International Conference on Intelligent and Advanced Systems (ICIAS …, 2021 | 2 | 2021 |
Safety Risk Assessment and Warning System at Engineering Laboratory Through IoT Technologies SK Betharajoo, S Paramasivam, HS Chua Advances in Electrical and Electronic Engineering and Computer Science, 13-23, 2021 | 2 | 2021 |
Engineering laboratory inventory management system using cloud and RFID technology: Conceptual approach in KDU University College HS Chua, S Paramasivam, TT Goh, CC Gee AIP Conference Proceedings 2124 (1), 2019 | 2 | 2019 |
Investigating university-industry partnership of higher engineering education using cause-effect analysis and multi-criteria decision making: A Malaysian perspective S Paramasivam PQDT-UK & Ireland, 2016 | 2 | 2016 |
Detection of Tuberculosis Based on Hybridized Pre-Processing Deep Learning Method MA Elashmawy, I Elamvazuthi, LI Izhar, S Paramasivam, S Su International Journal of Advanced Computer Science and Applications, 2023 | 1 | 2023 |
Lightweight spatial attentive network for vehicular visual odometry estimation in urban environments N Gadipudi, I Elamvazuthi, CK Lu, S Paramasivam, S Su Neural Computing and Applications 34 (21), 18823-18836, 2022 | 1 | 2022 |