Control allocation-based fault tolerant control A Argha, SW Su, BG Celler Automatica 103, 408-417, 2019 | 47 | 2019 |
GMM-HMM-based blood pressure estimation using time-domain features BG Celler, PN Le, A Argha, E Ambikairajah IEEE Transactions on Instrumentation and Measurement 69 (6), 3631-3641, 2019 | 38 | 2019 |
Blood pressure estimation from time-domain features of oscillometric waveforms using long short-term memory recurrent neural networks A Argha, BG Celler IEEE Transactions on Instrumentation and Measurement 69 (6), 3614-3622, 2019 | 37 | 2019 |
Novel methods of testing and calibration of oscillometric blood pressure monitors BG Celler, A Argha, PN Le, E Ambikairajah PloS one 13 (8), e0201123, 2018 | 37 | 2018 |
Patient adherence to scheduled vital sign measurements during home telemonitoring: analysis of the intervention arm in a before and after trial B Celler, A Argha, M Varnfield, R Jayasena JMIR medical informatics 6 (2), e9200, 2018 | 35 | 2018 |
Blood pressure estimation from beat-by-beat time-domain features of oscillometric waveforms using deep-neural-network classification models A Argha, J Wu, SW Su, BG Celler IEEE Access 7, 113427-113439, 2019 | 29 | 2019 |
On LMI-based sliding mode control for uncertain discrete-time systems A Argha, L Li, SW Su, H Nguyen Journal of the Franklin Institute 353 (15), 3857-3875, 2016 | 28 | 2016 |
A framework for optimal actuator/sensor selection in a control system A Argha, SW Su, A Savkin, B Celler International Journal of Control 92 (2), 242-260, 2019 | 27 | 2019 |
Artificial intelligence based blood pressure estimation from auscultatory and oscillometric waveforms: a methodological review A Argha, BG Celler, NH Lovell IEEE reviews in biomedical engineering 15, 152-168, 2020 | 23 | 2020 |
A novel automated blood pressure estimation algorithm using sequences of Korotkoff sounds A Argha, BG Celler, NH Lovell IEEE Journal of Biomedical and Health Informatics 25 (4), 1257-1264, 2020 | 23 | 2020 |
A novel sliding mode controller for DC-DC boost converters under input/load variations J Zhang, DG Dorrell, L Li, A Argha IECON 2015-41st Annual Conference of the IEEE Industrial Electronics Society …, 2015 | 23 | 2015 |
Stabilising the networked control systems involving actuation and measurement consecutive packet losses A Argha, L Li, S Su, H Nguyen IET Control Theory & Applications 10 (11), 1269-1280, 2016 | 21 | 2016 |
Discrete-time sliding mode control for networked systems with random communication delays A Argha, L Li, SW Su, H Nguyen 2015 American Control Conference (ACC), 6016-6021, 2015 | 21 | 2015 |
Unobtrusive human fall detection system using mmwave radar and data driven methods A Rezaei, A Mascheroni, MC Stevens, R Argha, M Papandrea, A Puiatti, ... IEEE Sensors Journal 23 (7), 7968-7976, 2023 | 20 | 2023 |
Are Korotkoff sounds reliable markers for accurate estimation of systolic and diastolic pressure using brachial cuff sphygmomanometry? BG Celler, M Butlin, A Argha, I Tan, A Yong, A Avolio IEEE Transactions on Biomedical Engineering 68 (12), 3593-3601, 2021 | 17 | 2021 |
A new approach to applying discrete sliding mode control to 2D systems A Argha, L Li, SW Su 52nd IEEE Conference on Decision and Control, 3584-3589, 2013 | 17 | 2013 |
Optimal iterative learning control method for 2-D systems using 1-D model (WAM) of 2-D systems H Afkhami, A Argha, M Roopaei, MA Nouri World Applied Sciences Journal 13 (11), 2410-2419, 2011 | 17 | 2011 |
Novel frameworks for the design of fault‐tolerant control using optimal sliding‐mode control A Argha, SW Su, A Savkin, BG Celler International Journal of Robust and Nonlinear Control 28 (8), 3015-3032, 2018 | 16 | 2018 |
Deep learning in spatially resolved transcriptomics: A comprehensive technical view RZ Nasab, MRE Ghamsari, A Argha, C Macphillamy, A Beheshti, ... arXiv preprint arXiv:2210.04453, 2022 | 15 | 2022 |
Online auto-calibration of triaxial accelerometer with time-variant model structures L Ye, A Argha, BG Celler, HT Nguyen, SW Su Sensors and Actuators A: Physical 266, 294-307, 2017 | 14 | 2017 |