Get started
Author

Saaveethya Sivakumar

Observed names: SAAVEETHYA SIVAKUMAR, Sivakumar Saaveethya
ORCID: 0000-0003-3185-0350
Observed ORCID: 0000-0003-3185-0350
OpenAlex ID: A5019587075
Diabetes detection based on machine learning and deep learning approaches
2023 · Boon Feng Wee, Saaveethya Sivakumar, et al. · Multimedia Tools and Applications · 167
PDF
Review on remote heart rate measurements using photoplethysmography
2023 · Ru Jing Lee, Saaveethya Sivakumar, et al. · Multimedia Tools and Applications · 56
PDF
Ovarian cancer detection using optimized machine learning models with adaptive differential evolution
2022 · Filbert H. Juwono, W.K. Wong, et al. · Biomedical Signal Processing and Control · 39
Joint angle estimation with wavelet neural networks
2021 · Saaveethya Sivakumar, Alpha Agape Gopalai, et al. · Scientific Reports · 27
PDF
Artificial neural network based ankle joint angle estimation using instrumented foot insoles
2019 · Saaveethya Sivakumar, Alpha Agape Gopalai, et al. · Biomedical Signal Processing and Control · 27
Gait acceleration-based diabetes detection using hybrid deep learning
2024 · Lit Zhi Chee, Saaveethya Sivakumar, et al. · Biomedical Signal Processing and Control · 26
Outdoor activity classification using smartphone based inertial sensor measurements
2024 · Rushikesh Bodhe, Saaveethya Sivakumar, et al. · Multimedia Tools and Applications · 18
PDF
Design and Development of Deep Learning Approach for Dental Implant Planning
2022 · Rushikesh Bodhe, Saaveethya Sivakumar, et al. · International Conference on Green Energy, Computing and Sustainable Technology (GECOST) · 14
Vision Transformers for Biomedical Applications *
2024 · Shem Teh, Saaveethya Sivakumar, et al. · International Conference on Green Energy, Computing and Sustainable Technology (GECOST) · 11
Estimation Of Joint Angle From Ground Reaction Force In Human Gait
2018 · Saaveethya Sivakumar, A.A. Gopalai, et al. · IEEE-EMBS Conference on Biomedical Engineering and Sciences · 10
ANN for gait estimations: A review on current trends and future applications
2016 · Saaveethya Sivakumar, A. A. Gopalai, et al. · IEEE-EMBS Conference on Biomedical Engineering and Sciences · 10
Predicting Ice Hockey Results Using Machine Learning Techniques
2023 · Jeremiah Samson Chin, Filbert Hilman Juwono, et al. · International Conference on Digital Applications, Transformation & Economy (ICDATE) · 8
Deep Learning and SMOTEENN-based Univariate Feature Selection Approaches for Diabetes Classification
2023 · Boon Feng Wee, Harn Hsem Hwong, et al. · International Conference on Digital Applications, Transformation & Economy (ICDATE) · 6
Joint Angle Analysis with IMU Sensors for Gait
2022 · Alex Zi Neng Tan, Saaveethya Sivakumar, et al. · International Conference on Green Energy, Computing and Sustainable Technology (GECOST) · 5
Steel Surface Defect Classification using MobileViT
2024 · Adelson Lok Thien Chee, Sivakumar Saaveethya, et al. · International Conference on Smart Computing and Communications (ICSCC) · 4
Comprehensive IoT-Based Monitoring System for Improving Worker's Health and Safety at the High-Risk Working Environment
2024 · Wan Jasmine Benny, Ing Ming Chew, et al. · International Conference on Green Energy, Computing and Sustainable Technology (GECOST) · 4
Diabetes Detection Using Gait Analysis and Machine Learning
2023 · Lit Zhi Chee, Harn Hsem Hwong, et al. · International Conference on Digital Applications, Transformation & Economy (ICDATE) · 4
High-Intensity Interval Training Exercise Recognition using Smartwatch
2021 · Saaveethya Sivakumar, Yong Jin Kun, et al. · IEEE-EMBS Conference on Biomedical Engineering and Sciences · 4
Porosity prediction using bagging ensemble machine learning in CCUS reservoirs. A case study: Darling Basin, Australia
2024 · Kushan Sandunil, Ziad Bennour, et al. · Earth Science Informatics · 3
Hybrid HVAC-HVDC Grid Fault Detection & Classification Using ANN
2024 · Zhe Ming Wong, Ing Ming Chew, et al. · International Conference on Smart Computing and Communications (ICSCC) · 3
Porosity Prediction for Carbon Dioxide Storage Assessment Using Boosting Ensemble Machine Learning Algorithms. Case Study: Darling Basin, Australia
2024 · Kushan Sandunil, Ziad Bennour, et al. · International Conference on Green Energy, Computing and Sustainable Technology (GECOST) · 3
Machine Learning-Based Glucose Monitoring Techniques for Diabetes Management: A Review
2023 · Harn Hsem Hwong, Saaveethya Sivakumar, et al. · International Conference on Digital Applications, Transformation & Economy (ICDATE) · 3
Diabetes Detection Using Gait Acceleration
2024 · Lit Zhi Chee, Saaveethya Sivakumar · International Conference on Green Energy, Computing and Sustainable Technology (GECOST) · 2
Automated Transformer Health Prediction: Evaluation of Complexity and Linearity of Models for Prediction
2024 · Andrea Wong Saen Er, W. K. Wong, et al. · Lecture notes in electrical engineering · 2
Using Smartwatch Data to Estimate Motion
2023 · Matthew Law Ik Soon, Calvin Lau Su Hang, et al. · International Conference on Digital Applications, Transformation & Economy (ICDATE) · 2
Works count: 51
Citation count: 476
H-index: 10
I10-index: 11
Year
Topic
Type