Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Afef Mdhaffar"'
Publikováno v:
IEEE Access, Vol 12, Pp 36002-36015 (2024)
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:
https://doaj.org/article/6921e872992b4ea59bca18e32aafeb4a
Publikováno v:
Proceedings of the 15th International Conference on Agents and Artificial Intelligence.
Publikováno v:
Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods.
Autor:
Afef Mdhaffar, Bechir Zalila, Racem Moalla, Ayoub Kharrat, Omar Rebai, Mohamed Melek Hsairi, Ahmed Sallemi, Hsouna Kobbi, Amel Kolsi, Dorsaf Chatti, Mohamed Jmaiel, Bernd Freisleben
Publikováno v:
2022 IEEE/ACS 19th International Conference on Computer Systems and Applications (AICCSA).
Publikováno v:
Signal, Image Processing and Embedded Systems Trends.
Due to the advancements of deep learning (DL), particularly in the areas of visual object detection and convolutional neural networks (CNN), insect detecetion in images has received a lot of attention from the research community in the last few years
Publikováno v:
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing.
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 24:3154-3161
In personalized medicine, a challenging task is to identify the most effective treatment for a patient. In oncology, several computational models have been developed to predict the response of drugs to therapy. However, the performance of these model
Publikováno v:
Expert Systems with Applications. 206:117733
Autor:
Mohamed Jmaiel, Sondes Mseddi, Hajer Aloulou, Bernd Freisleben, Mongia Hachicha, Hatem Bellaaj, Moez Elloumi, Afef Mdhaffar
Publikováno v:
Advanced Methods for Human Biometrics ISBN: 9783030819811
This paper proposes a novel software architecture for developing disease registries. Our proposal consists of five horizontal layers and two transversal layers. It takes into account several aspects of disease registries, such as various sources of d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::510b6fa3c49aebffb7bb97e44f66d583
https://doi.org/10.1007/978-3-030-81982-8_10
https://doi.org/10.1007/978-3-030-81982-8_10
Publikováno v:
How AI Impacts Urban Living and Public Health ISBN: 9783030327842
ICOST
ICOST
In this paper, we present a convolutional gated recurrent neural network (CGRNN) to predict epileptic seizures based on features extracted from EEG data that represent the temporal aspect and the frequency aspect of the signal. Using a dataset collec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::827a8e28bf3a071ca83e75c9e08ea459
https://doi.org/10.1007/978-3-030-32785-9_8
https://doi.org/10.1007/978-3-030-32785-9_8