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Abdolrahman Peimankar
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Year
A deep learning approach for real-time detection of atrial fibrillation
RS Andersen, A Peimankar, S Puthusserypady
Expert Systems with Applications 115, 465-473, 2019
3692019
DENS-ECG: A deep learning approach for ECG signal delineation
A Peimankar, S Puthusserypady
Expert systems with applications 165, 113911, 2021
1262021
Evolutionary multi-objective fault diagnosis of power transformers
A Peimankar, SJ Weddell, T Jalal, AC Lapthorn
Swarm and Evolutionary Computation 36, 62-75, 2017
912017
Multi-objective ensemble forecasting with an application to power transformers
A Peimankar, SJ Weddell, T Jalal, AC Lapthorn
Applied Soft Computing 68, 233-248, 2018
452018
An ensemble of deep recurrent neural networks for p-wave detection in electrocardiogram
A Peimankar, S Puthusserypady
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech andá…, 2019
232019
Ensemble classifier selection using multi-objective PSO for fault diagnosis of power transformers
A Peimankar, SJ Weddell, T Jalal, AC Lapthorn
2016 IEEE congress on evolutionary computation (CEC), 3622-3629, 2016
222016
Short-term atrial fibrillation detection using electrocardiograms: A comparison of machine learning approaches
MS Jahan, M Mansourvar, S Puthusserypady, UK Wiil, A Peimankar
International Journal of Medical Informatics 163, 104790, 2022
202022
Deepaware: A hybrid deep learning and context-aware heuristics-based model for atrial fibrillation detection
D Kumar, A Peimankar, K Sharma, H DomÝnguez, S Puthusserypady, ...
Computer Methods and Programs in Biomedicine 221, 106899, 2022
182022
Ensemble learning for detection of short episodes of atrial fibrillation
A Peimankar, S Puthusserypady
2018 26th European Signal Processing Conference (EUSIPCO), 66-70, 2018
162018
Automatic detection of cardiac arrhythmias using ensemble learning
A Peimankar, MJ Jajroodi, S Puthusserypady
TENCON 2019-2019 IEEE Region 10 Conference (TENCON), 383-388, 2019
122019
The influence of corona near to the bushing of a transformer on partial discharge measurement with an acoustic emission sensor
SAM Najafi, A Peimankar, H Saadati, E Gockenbach, H Borsi
2013 IEEE Electrical Insulation Conference (EIC), 295-298, 2013
112013
A machine learning approach for walking classification in elderly people with gait disorders
A Peimankar, TS Winther, A Ebrahimi, UK Wiil
Sensors 23 (2), 679, 2023
92023
Condition Assessment of Transformers Load Tap Changers Using Support Vector Machine
A Peimankar, A Lapthorn
The 19th International Symposium on High Voltage Engineering (ISH 2015), 2015
82015
An isolated hybrid renewable energy system: Ha'apai island group in the Kingdom of Tonga
X Cao, A Lapthorn, A Peimankar
The 2nd IEEE Conference on Power Engineering and Renewable Energy (ICPEREá…, 2014
72014
A collection of multiregistry data on patients at high risk of lung cancer—a Danish retrospective cohort study of nearly 40,000 patients
MB Henriksen, TF Hansen, LH Jensen, CL Brasen, A Peimankar, ...
Translational Lung Cancer Research 12 (12), 2392, 2023
32023
Intelligent condition assessment of power transformers
A Peimankar
University of Canterbury, 2017
32017
Correlation between electrical measured partial discharge and acoustic emission signals from new and thermal aged pressboards in oil
SAM Najafi, A Peimankar, E Gockenbach, H Borsi
18th International Symposium on High Voltage Engineering (ISH2013), 810-814, 2013
22013
AUD-DSS: a decision support system for early detection of patients with alcohol use disorder
A Ebrahimi, UK Wiil, R Baskaran, A Peimankar, K Andersen, AS Nielsen
BMC bioinformatics 24 (1), 329, 2023
12023
Energy Expenditure Prediction from Accelerometry Data Using Long Short-Term Memory Recurrent Neural Networks
M VibŠk, A Peimankar, UK Wiil, D Arvidsson, JC Br°nd
Sensors 24 (8), 2520, 2024
2024
Pulmonologists-Level lung cancer detection based on standard blood test results and smoking status using an explainable machine learning approach
RNH Flyckt, L Sjodsholm, MHB Henriksen, CL Brasen, A Ebrahimi, ...
arXiv preprint arXiv:2402.09596, 2024
2024
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