Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Nabil Zerrouki"'
Publikováno v:
Results in Engineering, Vol 22, Iss , Pp 102037- (2024)
Desertification detection is a crucial step to improve the management of affected areas and aid in mitigating the negative impacts of desertification. This study proposes a semi-supervised approach that uses Landsat imagery and radiometric data to de
Externí odkaz:
https://doaj.org/article/fa51e05b110141dcb8f8c3ed2ab2165c
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 202-213 (2021)
The accurate land cover change detection is critical to improve the landscape dynamics analysis and mitigate desertification problems efficiently. Desertification detection is a challenging problem because of the high degree of similarity between som
Externí odkaz:
https://doaj.org/article/1d4de6a639e34e199da68300662a1577
Autor:
Samir Benbelkacem, Nadia Zenati-Henda, Nabil Zerrouki, Adel Oulefki, Sos Agaian, Mostefa Masmoudi, Ahmed Bentaleb, Alex Liew
Publikováno v:
Diagnostics, Vol 13, Iss 3, p 567 (2023)
The World Health Organization estimates that there were around 10 million deaths due to cancer in 2020, and lung cancer was the most common type of cancer, with over 2.2 million new cases and 1.8 million deaths. While there have been advances in the
Externí odkaz:
https://doaj.org/article/60e85eb5b05d4385a92e80c2886252b5
Publikováno v:
Diagnostics, Vol 12, Iss 12, p 2984 (2022)
This paper introduces an unsupervised deep learning-driven scheme for mental tasks’ recognition using EEG signals. To this end, the Multichannel Wiener filter was first applied to EEG signals as an artifact removal algorithm to achieve robust recog
Externí odkaz:
https://doaj.org/article/6867b37f18984fc5ad480e8ac8c3fc9f
Publikováno v:
IEEE Access, Vol 7, Pp 114966-114974 (2019)
Falls are an important healthcare problem for vulnerable persons like seniors. Response to potential emergencies can be fastened timely detection and classification of falls. This paper addresses the detection of human falls using relevant pixel-base
Externí odkaz:
https://doaj.org/article/7cecefc4280c44bd9b6908769a3584ed
Publikováno v:
The Imaging Science Journal. 70:315-325
Autor:
Nabil Zerrouki, Amrane Houacine, Fouzi Harrou, Riadh Bouarroudj, Mohammed Yazid Cherifi, Ying Sun
Publikováno v:
2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT).
Publikováno v:
2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT).
Accurately detecting human falls of elderly people at an early stage is vital for providing early alert and avoid serious injury. Towards this purpose, multiple triaxial accelerometers data has been used to uncover falls based on an unsupervised moni
Publikováno v:
Concurrency and Computation: Practice and Experience. 34
This work was supported by funding from King Abdullah University of Science and Technology (KAUST), Office of Sponsored Research (OSR) under Award No. OSR-2019-CRG7-3800.
Publikováno v:
IEEE Sensors Journal. 19:5843-5850
An approach combining the Hotelling $T^{2}$ control method with a weighted random forest classifier is proposed and used in the context of detecting land cover changes via remote sensing and radiometric measurements. Hotelling $T^{2}$ procedure is in