Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Hamza Baali"'
Publikováno v:
Communications Materials, Vol 4, Iss 1, Pp 1-9 (2023)
Abstract The design of acoustic metasurfaces with desirable properties is challenging due to their artificial nature and the large space of physical and geometrical parameters. Until recently, design strategies were primarily based on numerical simul
Externí odkaz:
https://doaj.org/article/f852a96463934620997a856b246efd9f
Autor:
Mesai Mohammed Salima, Ben Khalifa Ahmed, Hamza Baali, Mohammed El Amine Abdelli, Naima Bentouir, Afef Khalil
Publikováno v:
Journal of Information Technology Management, Vol 13, Iss 2, Pp 173-187 (2021)
This study aims to test the relationship between knowledge generation and organizational creativity. The second method was surveyed (analytical) using exploratory research through the survey as a data collection tool. The validity coefficient was mea
Externí odkaz:
https://doaj.org/article/54970ce8b7e140a29afdb8dfbf65a865
Autor:
Ben Khalifa Ahmed, Hamza Baali, Mesai Mohammed Salima, Mohammed El Amine Abdelli, Naima Bentouir, Afef Khalil
Publikováno v:
Journal of Information Technology Management, Vol 13, Iss 2, Pp 188-201 (2021)
This study aims to identify the role of information and communication technology in improving electronic payment methods. The descriptive-analytical approach has been applied. We have learned about the concepts of ICT and electronic payment methods a
Externí odkaz:
https://doaj.org/article/e861785a71b84fb79b48263821d5a5d3
Publikováno v:
IEEE Access, Vol 6, Pp 9464-9472 (2018)
Meeting application requirements under a tight power budget is of a primary importance to enable connected health internet of things applications. This paper considers using sparse representation and well-defined inequality indexes drawn from the the
Externí odkaz:
https://doaj.org/article/92e41fd65aff453890b54bb1c159d819
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 3, Pp 1-8 (2015)
In this paper, we present a new motor imagery classification method in the context of electroencephalography (EEG)-based brain-computer interface (BCI). This method uses a signal-dependent orthogonal transform, referred to as linear prediction singul
Externí odkaz:
https://doaj.org/article/cabdde3eabc044758d23fff313a9c5fe
Publikováno v:
ICASSP
The conventional delay-and-sum beamforming technique results in blurred source maps due to its poor spatial resolution and high side-lobe levels. To overcome these limitations, the deconvolution approach for the mapping of acoustic sources (DAMAS) ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b47e7184726d2f9c72546b621d24d1f
https://doi.org/10.1109/icassp39728.2021.9415040
https://doi.org/10.1109/icassp39728.2021.9415040
Publikováno v:
ICASSP
The analysis of multichannel signals (MCS) has received a great deal of attention in the past few years. Modeling MCS requires depicting not only the temporal correlations within each single-channel signal (SCS) but also the interdependencies between
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2aa2a67c49c146414795466a963d7ea3
https://doi.org/10.1109/icassp40776.2020.9054144
https://doi.org/10.1109/icassp40776.2020.9054144
Autor:
Hamza Baali, Anas S. Abdel Rahman, Tanvir Alam, Abdesselam Bouzerdoum, Samir Brahim Belhaouari, Ahmed M. Eldaraa
Publikováno v:
ICIoT
This study presents pre-trained Convolutional Neural Network (CNN) models to classify pre-segmented mammogram mass tumors as benign or malignant. Transfer learning, particular pre-processing and data augmentation were applied to overcome the limitati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7b7a782b13b43fad0cd6678bbe5421b
https://doi.org/10.1109/iciot48696.2020.9089535
https://doi.org/10.1109/iciot48696.2020.9089535
Autor:
Tanvir Alam, Samir Brahim Belhaouari, Anas S. Abdel Rahman, Hamza Baali, Abdesselam Bouzerdoum, Ahmed M. Eldaraa
Publikováno v:
ICIoT
Sleep arousal is a common health problem that negatively affects the quality of sleep. This study investigates the use of a compact convolutional neural network (CNN) to classify apnea and non-apnea sleep arousal categories. The experiments are condu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7b56695f43e3ce77156c93e5298044f
https://doi.org/10.1109/iciot48696.2020.9089621
https://doi.org/10.1109/iciot48696.2020.9089621
Publikováno v:
IEEE Sensors Journal. 18:1790-1809
Designing power aware wearable devices is the main key in building compact size autonomous smart devices to successfully connect health Internet of things solutions. With their ability to perform tasks ranging from simple self-monitoring to complex i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2771f4956199548c982493cdfdc13668
https://doi.org/10.1109/jsen.2017.2786301
https://doi.org/10.1109/jsen.2017.2786301