| Recognition and repetition counting for local muscular endurance exercises in exercise-based rehabilitation: A comparative study using artificial intelligence models G Prabhu, NE O’connor, K Moran Sensors 20 (17), 4791, 2020 | 9 | 2020 |
| Activity recognition of local muscular endurance (LME) exercises using an inertial sensor G Prabhu, A Ahmadi, NE O’Connor, K Moran Proceedings of the 11th International Symposium on Computer Science in Sport …, 2018 | 6 | 2018 |
| Design and development of the medFit app: A mobile application for cardiovascular disease rehabilitation G Prabhu, J Kuklyte, L Gualano, K Venkataraman, A Ahmadi, O Duff, ... Wireless Mobile Communication and Healthcare: 7th International Conference …, 2018 | 5 | 2018 |
| Comparison of classification models based on deep learning on COVID-19 chest X-rays PR Mane, R Shenoy, G Prabhu Journal of Physics: Conference Series 2161 (1), 012078, 2022 | 2 | 2022 |
| MedFit: A Mobile Application for Patients in CVD Recovery J Kuklyte, L Gualano, G Prabhu, K Venkataraman, D Walsh, C Woods, ... Proceedings of the 2nd International Workshop on Multimedia for Personal …, 2017 | 2 | 2017 |
| Throughput Analysis of WLAN with Network Coding PR Mane, MS Kumar, G Sudhakar, G Prabhu International Journal of Future Computer and Communication 2 (1), 23 - 28, 2013 | 2 | 2013 |
| A Deep Learning Model for Exercise-Based Rehabilitation Using Multi-channel Time-Series Data from a Single Wearable Sensor G Prabhu, NE O’Connor, K Moran Wireless Mobile Communication and Healthcare: 9th EAI International …, 2021 | 1 | 2021 |
| Recognition and Repetition Counting for LME Exercises in Exercise-Based CVD Rehabilitation: A Comparative Study Using Artificial Intelligence Models G Prabhu, NE O'Connor, K Moran Preprints, 2020 | 1 | 2020 |
| Feature Extraction using Principle Component Analysis on Wearable Multimodal Wireless Sensor Data used in Human Activity Recognition G Prabhu, A Ahmadi, K Moran, N O’Conner Proceedings of the 3rd Insight Student Conference, 2016 | 1 | 2016 |
| A Deep Learning Model for Exercise-Based Rehabilitation Using Multi-channel Time-Series Data from a Single Wearable Sensor KM Ghanashyama Prabhu,Noel E. O’Connor | | 2021 |
| Design and Development of the MedFit App: A Mobile Application for Cardiovascular Disease Rehabilitation K Venkataraman, A Ahmadi, O Duff, D Walsh, C Woods, NE O’Connor, ... Wireless Mobile Communication and Healthcare: 7th International Conference …, 2018 | | 2018 |
| Design and development of the medFit app: a mobile application for cardiovascular disease rehabilitation K Moran, G Prabhu, J Kuklyte, L Gualano, K Venkataraman, A Ahmadi, ... Lecture Notes of the Institute for Computer Sciences, Social-Informatics and …, 2018 | | 2018 |
| MedFit: a mobile application for recovering CVD patients J Kuklyte, L Gualano, G Prabhu, K Venkataraman, D Walsh, C Woods, ... ACM Press, 2017 | | 2017 |
| Single inertial sensor for local muscular endurance (LME) exercise detection G Prabhu The Insight Centre for Data Analytics, 2017 | | 2017 |
| Activity Recognition of Local Muscular Endurance (LME) Exercises Using an Inertial Sensor K Moran Proceedings of the 11th International Symposium on Computer Science in Sport …, 2017 | | 2017 |
| Performance of Network Coding PR Mane, G Prabhu, SM Kumar, SG Adiga | | 2010 |
| Digital Image Watermarking: Algorithms, Attacks, Benchmarking and Applications. S Rao, G Prabhu | | 2006 |
Prof Kieran MoranDublin City UniversityVerified email at dcu.ie
