Zobrazeno 1 - 10
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pro vyhledávání: '"Jmaiel, Mohamed"'
In this paper, we present a systematic literature review on deep generative models for physiological signals, particularly electrocardiogram, electroencephalogram, photoplethysmogram and electromyogram. Compared to the existing review papers, we pres
Externí odkaz:
http://arxiv.org/abs/2307.06162
Within cardiovascular disease detection using deep learning applied to ECG signals, the complexities of handling physiological signals have sparked growing interest in leveraging deep generative models for effective data augmentation. In this paper,
Externí odkaz:
http://arxiv.org/abs/2306.01875
Electrocardiogram (ECG) data collection during emergency situations is challenging, making ECG data generation an efficient solution for dealing with highly imbalanced ECG training datasets. In this paper, we propose a novel approach for ECG signal g
Externí odkaz:
http://arxiv.org/abs/2211.02626
Publikováno v:
In Engineering Applications of Artificial Intelligence July 2024 133 Part B
Publikováno v:
In Ad Hoc Networks 15 March 2024 155
Publikováno v:
In Computers & Security December 2023 135
Autor:
Belmabrouk, Sabrine, Abdelhedi, Rania, Bougacha, Fadia, Bouzid, Fériel, Gargouri, Héla, Ayadi, Imen, Abdelmoula, Nouha Bouayed, Abdelmoula, Balkiss, Abdellaoui, Nawel, BenMarzoug, Riadh, Triki, Nersrine, Torjmen, Mouna, Kharrat, Mohamed, Jmaiel, Mohamed, Kharrat, Najla, Rebai, Ahmed
Publikováno v:
In World Allergy Organization Journal September 2023 16(9)
Publikováno v:
In Expert Systems With Applications 15 November 2022 206
Publikováno v:
In Expert Systems With Applications 1 July 2022 197
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