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Ghanashyama Prabhu
Ghanashyama Prabhu
Insight Centre Data Analytics,DCU, Dublin and Manipal Academy of Higher Education, Manipal India
Verified email at mail.dcu.ie
Title
Cited by
Cited by
Year
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
232020
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
92018
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
72018
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
42022
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
42017
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
International Conference on Wireless Mobile Communication and Healthcare …, 2020
32020
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
22013
Design and Experimental Study of a coupled U and L-shape Negative Index metamaterial for Aircraft Navigation Applications
M Pallavi, P Kumar, T Ali, SB Shenoy, PR Mane, G Prabhu
IEEE Access, 2024
12024
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
12020
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
12016
A Cluster Based Routing Protocol for IoT Based WSNs to Enhance Performance
P Bekal, P Kumar, PR Mane, G Prabhu
2023 International Conference on Modeling, Simulation & Intelligent …, 2023
2023
Osteoporosis Detection Using Deep Learning on X-Ray images of Human Spine
PR Mane, J Vemulapalli, NS Reddy, N Anudeep, G Prabhu
Journal of Physics: Conference Series 2571 (1), 012017, 2023
2023
A comprehensive review of energy efficient routing protocol s for query driven wireless sensor networks [version 1; peer
P Bekal, P Kumar, PR Mane, G Prabhu
2023
A comprehensive review of energy efficient routing protocols for query driven wireless sensor networks
P Bekal, P Kumar, PR Mane, G Prabhu
F1000Research 12, 2023
2023
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, ...
University of Limerick, 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
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