Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Mohamed Benouis"'
Publikováno v:
Jordanian Journal of Computers and Information Technology, Vol 10, Iss 1, Pp 93-107 (2024)
Breast cancer is a prevalent disease that primarily affects women globally, but it can also affect men. Early detection is crucial for better treatment outcomes, and mammography is a common screening method. Recommendations for mammograms vary by age
Externí odkaz:
https://doaj.org/article/dfa4b13498354f7c8f6cf4dfe66a0e9a
Autor:
Mohamed Benouis, Alfredo Rosado-Muñoz
Publikováno v:
Applied Sciences, Vol 14, Iss 12, p 5157 (2024)
When pharmaceutical treatments for Parkinson’s Disease (PD) are no longer effective, Deep Brain Stimulation (DBS) surgery, a procedure that entails the stimulation of the Subthalamic Nucleus (STN), is another treatment option. However, the success
Externí odkaz:
https://doaj.org/article/caec0e76cf7948b6954c38f4d3581481
Autor:
Mohamed Benouis, Leandro D. Medus, Mohamed Saban, Abdessattar Ghemougui, Alfredo Rosado-Muñoz
Publikováno v:
Journal of Imaging, Vol 7, Iss 9, p 186 (2021)
A correct food tray sealing is required to preserve food properties and safety for consumers. Traditional food packaging inspections are made by human operators to detect seal defects. Recent advances in the field of food inspection have been related
Externí odkaz:
https://doaj.org/article/4b37f1afc2b64be49f7674eb20861906
Autor:
Mohamed Benouis
Publikováno v:
Journal of Information Technology Research. 14:82-93
An enhanced algorithm to recognize the human face using bi-dimensional fractal codes and deep belief networks is presented in this work. The proposed method is experimentally robust against variations in the appearance of human face images, despite d
Publikováno v:
ICCEIS 2021.
Autor:
Abdessattar Ghemougui, Leandro D. Medus, Mohamed Benouis, Mohamed Saban, Alfredo Rosado-Muñoz
Publikováno v:
Journal of Imaging
Volume 7
Issue 9
Journal of Imaging, Vol 7, Iss 186, p 186 (2021)
Benouis, Mohamed Medus, Leandro Daniel Saban, Mohamed Ghemougui, Abdessattar Rosado Muñoz, Alfredo 2021 Food Tray Sealing Fault Detection in Multi-Spectral Images Using Data Fusion and Deep Learning Techniques Journal of Imaging 7 186 1 21
RODERIC. Repositorio Institucional de la Universitat de Valéncia
instname
Volume 7
Issue 9
Journal of Imaging, Vol 7, Iss 186, p 186 (2021)
Benouis, Mohamed Medus, Leandro Daniel Saban, Mohamed Ghemougui, Abdessattar Rosado Muñoz, Alfredo 2021 Food Tray Sealing Fault Detection in Multi-Spectral Images Using Data Fusion and Deep Learning Techniques Journal of Imaging 7 186 1 21
RODERIC. Repositorio Institucional de la Universitat de Valéncia
instname
A correct food tray sealing is required to preserve food properties and safety for consumers. Traditional food packaging inspections are made by human operators to detect seal defects. Recent advances in the field of food inspection have been related
Publikováno v:
International Journal of Intelligent Engineering and Systems. 12:147-156
Publikováno v:
MetroInd4.0&IoT
The handcrafted features extraction methods have achieved remarkable results in ECG based biometric identification. However, they are sensitive to many factors: (1) intra and inter-individual variability, (2) heart rate variability, (3) powerline int
Autor:
Mohamed Benouis, Meryem Regouid
Publikováno v:
020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP).
Human ear recognition presents a rich and stable structure which may be considered as a perfect source of information for identification or verification purpose. Ear is largely used in recent years for recognition purpose. In this study, the authors
Autor:
Alex Barret-Chapman, Maryam Abo-Tabik, Yael Benn, Nicholas Costen, Mohamed Benouis, Olivia Salmon
Publikováno v:
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Smoking is a commonly observed habit worldwide, and is a major cause of disease leading to death. Many techniques have been established in medical and psychological science to help people quit smoking. However, the existing systems are complex, and u