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of 296
pro vyhledávání: '"Jarchi A"'
This paper presents a deep learning system applied for detecting anomalies from respiratory sound recordings. Our system initially performs audio feature extraction using Continuous Wavelet transformation. This transformation converts the respiratory
Externí odkaz:
http://arxiv.org/abs/2306.14929
This paper presents a deep learning system applied for detecting anomalies from respiratory sound recordings. Initially, our system begins with audio feature extraction using Gammatone and Continuous Wavelet transformation. This step aims to transfor
Externí odkaz:
http://arxiv.org/abs/2303.04104
Publikováno v:
In AEUE - International Journal of Electronics and Communications December 2024 187
This paper evaluates a wide range of audio-based deep learning frameworks applied to the breathing, cough, and speech sounds for detecting COVID-19. In general, the audio recording inputs are transformed into low-level spectrogram features, then they
Externí odkaz:
http://arxiv.org/abs/2202.05626
Autor:
Jarchi, Delaram, Andreu-Perez, Javier, Kiani, Mehrin, Vysata, Oldrich, Kuchynka, Jiri, Prochazka, Ales, Sane, Saeid
Publikováno v:
Sensors 20.9 (2020): 2594
Accurately diagnosing sleep disorders is essential for clinical assessments and treatments. Polysomnography (PSG) has long been used for detection of various sleep disorders. In this research, electrocardiography (ECG) and electromayography (EMG) hav
Externí odkaz:
http://arxiv.org/abs/2111.05917
Autor:
Andreu-Perez, Javier, Pérez-Espinosa, Humberto, Timonet, Eva, Kiani, Mehrin, Girón-Pérez, Manuel I., Benitez-Trinidad, Alma B., Jarchi, Delaram, Rosales-Pérez, Alejandro, Gatzoulis, Nick, Reyes-Galaviz, Orion F., Torres-García, Alejandro, Reyes-García, Carlos A., Ali, Zulfiqar, Rivas, Francisco
Publikováno v:
IEEE Transactions on Services Computing (2021)
We seek to evaluate the detection performance of a rapid primary screening tool of Covid-19 solely based on the cough sound from 8,380 clinically validated samples with laboratory molecular-test (2,339 Covid-19 positives and 6,041 Covid-19 negatives)
Externí odkaz:
http://arxiv.org/abs/2111.05895
Publikováno v:
In Optik September 2023 287
Autor:
Issam Boukhennoufa, Delaram Jarchi, Xiaojun Zhai, Victor Utti, Saeid Sanei, Tracey K. M. Lee, Jo Jackson, Klaus D. McDonald-Maier
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 2676-2687 (2023)
The application of machine learning-based tele-rehabilitation faces the challenge of limited availability of data. To overcome this challenge, data augmentation techniques are commonly employed to generate synthetic data that reflect the configuratio
Externí odkaz:
https://doaj.org/article/ae283b5919754709a7fc37274deaa2c1
Autor:
Mahdi Norouzi, Saughar Jarchi, Mohsen Ghaffari-Miab, Meisam Esfandiari, Ali Lalbakhsh, Slawomir Koziel, Sam Reisenfeld, Gholamhosein Moloudian
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract This paper proposes a three-dimensional metamaterial absorber based on a resistive film patch array to develop a low-cost, lightweight absorber for curved surfaces. An excellent absorption over a large frequency band is achieved through two
Externí odkaz:
https://doaj.org/article/07d776f52754471e810b69179ed8ece6
Autor:
Esfandiari, Meisam, Lalbakhsh, Ali, Nasiri Shehni, Paria, Jarchi, Saughar, Ghaffari-Miab, Mohsen, Noori Mahtaj, Hamideh, Reisenfeld, Sam, Alibakhshikenari, Mohammad, Koziel, Slawomir, Szczepanski, Stanislaw
Publikováno v:
In Materials & Design September 2022 221