Zobrazeno 1 - 10
of 132
pro vyhledávání: '"Sami Bourouis"'
Autor:
Sami Dhahbi, Nasir Saleem, Teddy Surya Gunawan, Sami Bourouis, Imad Ali, Aymen Trigui, Abeer D. Algarni
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 8, Iss 6, Pp 74-85 (2024)
Traditional recurrent neural networks (RNNs) encounter difficulty in capturing long-term temporal dependencies. However, lightweight recurrent models for speech enhancement are important to improve noisy speech, while being computationally efficient
Externí odkaz:
https://doaj.org/article/39d4d1083ce048898fca44d5b68dceb3
Publikováno v:
IEEE Access, Vol 12, Pp 21287-21303 (2024)
Single-channel speech enhancement is important for modern communication systems and has received a lot of attention. A convolutional neural network (CNN) successfully learns feature representations from speech spectrograms but loses spatial informati
Externí odkaz:
https://doaj.org/article/21a56c9457864949be4b3aa1ab870699
Publikováno v:
Applied Computing and Informatics, Vol 20, Iss 1/2, Pp 89-104 (2024)
We propose in this paper a novel reliable detection method to recognize forged inpainting images. Detecting potential forgeries and authenticating the content of digital images is extremely challenging and important for many applications. The propose
Externí odkaz:
https://doaj.org/article/12a48ddba95943b99e29a0ba6bcbec9f
Publikováno v:
IEEE Access, Vol 11, Pp 114172-114186 (2023)
Convolutional encoder-decoder (CED) has emerged as a powerful architecture, particularly in speech enhancement (SE), which aims to improve the intelligibility and quality and intelligibility of noise-contaminated speech. This architecture leverages t
Externí odkaz:
https://doaj.org/article/92132f63e4944fb895caa54ac358a798
Autor:
Syed Muhammad Ahmed Hassan Shah, Asad Ullah, Jawaid Iqbal, Sami Bourouis, Syed Sajid Ullah, Saddam Hussain, Muhammad Qasim Khan, Yaser Ali Shah, Ghulam Mustafa
Publikováno v:
IEEE Access, Vol 11, Pp 75528-75545 (2023)
Adults who have brain tumors face a serious and potentially fatal challenge since the tumors rapidly growing malignant cells can seriously impair their physiological ability. In clinical practice, imaging techniques such as MRI, PET, and CT scans are
Externí odkaz:
https://doaj.org/article/4318789be2064b84ab2088d5c660fc1f
Autor:
Momina Masood, Marriam Nawaz, Tahira Nazir, Ali Javed, Reem Alkanhel, Hela Elmannai, Sami Dhahbi, Sami Bourouis
Publikováno v:
IEEE Access, Vol 11, Pp 52862-52876 (2023)
The presence of various maize plant leaf diseases has significantly decreased both the quality and quantity of crop production. In order to take the appropriate steps to prevent the occurrence of plant leaf diseases, it is essential to track and reco
Externí odkaz:
https://doaj.org/article/1e1dfc79d3034f2c98457d3347159f51
Autor:
Xuemeng Weng, Yun Liu, Ali Asghar Heidari, Zhennao Cai, Haiping Lin, Huiling Chen, Guoxi Liang, Abdulmajeed Alsufyani, Sami Bourouis
Publikováno v:
Energy Science & Engineering, Vol 11, Iss 1, Pp 267-298 (2023)
Abstract The determination of photovoltaic (PV) parameters is of great importance for the reliability of solar system operation, continuity of the load power consumption, and control management of the energy source. Therefore, this study proposes an
Externí odkaz:
https://doaj.org/article/e249434ee5d342249b0217861e8eb2b8
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 10, Pp 9905-9914 (2022)
Coronavirus disease (COVID-19) has significantly affected the daily life activities of people globally. To prevent the spread of COVID-19, the World Health Organization has recommended the people to wear face mask in public places. Manual inspection
Externí odkaz:
https://doaj.org/article/132696511d5345bc827f16d21a87ad67
Publikováno v:
ICT Express, Vol 8, Iss 3, Pp 340-346 (2022)
Vehicular ad hoc network (VANETs) has gained wide popularity such that it is necessary to incorporate trust among each node in the network. However, trust management among vehicles is a challenging task as malicious nodes are prone to disturb data tr
Externí odkaz:
https://doaj.org/article/12a401baad444ed990ecfa3a370e69ca
Publikováno v:
IEEE Access, Vol 10, Pp 71311-71328 (2022)
Facial emotion recognition (FER) is an important research area in artificial intelligence (AI) and has many applications i.e., face authentication systems, e-learning, entertainment, deepfakes detection, etc. FER is still a challenging task due to mo
Externí odkaz:
https://doaj.org/article/f7f62713cd5e486a8c277e512fceadf8