Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Karim Gasmi"'
Autor:
Osama R. Shahin, Karim Gasmi, Moez Krichen, Meznah A. Alamro, Alaeddine Mihoub, Lassaad Ben Ammar, Mohammed Abdullah Tawashi
Publikováno v:
Alexandria Engineering Journal, Vol 109, Iss , Pp 58-70 (2024)
Blood testing is widely regarded as a fundamental diagnostic procedure in healthcare, with blood cell counting being particularly vital for diagnosing conditions and evaluating overall health. Traditional methods employing hemocytometers and diverse
Externí odkaz:
https://doaj.org/article/5bd101426b914f6788da0d38c71efbef
Autor:
Karim Gasmi, Lassaad Ben Ammar, Moez Krichen, Meznah A. Alamro, Alaeddine Mihoub, Manel Mrabet
Publikováno v:
IEEE Access, Vol 12, Pp 64754-64764 (2024)
Dyslexia is a form of specialized learning disability that can lead to academic dissatisfaction. Detection is essential yet difficult, especially for languages like Arabic and Spanish that have straightforward orthographies. As seen by the abundance
Externí odkaz:
https://doaj.org/article/5a020dfe543d4241a0cebe5b5dea2c8c
Autor:
Karim Gasmi, Ahmed Kharrat, Lassaad Ben Ammar, Ibtihel Ben Ltaifa, Moez Krichen, Manel Mrabet, Hamoud Alshammari, Samia Yahyaoui, Kais Khaldi, Olfa Hrizi
Publikováno v:
AIMS Mathematics, Vol 9, Iss 2, Pp 4604-4631 (2024)
In recent years, augmented reality has emerged as an emerging technology with huge potential in image-guided surgery, and in particular, its application in brain tumor surgery seems promising. Augmented reality can be divided into two parts: hardware
Externí odkaz:
https://doaj.org/article/269903348d5a4a31889555f3c2fd2b4b
Publikováno v:
AIMS Mathematics, Vol 9, Iss 1, Pp 959-973 (2024)
In this paper, an adaptive neural network control problem for nonstrict-feedback nonlinear systems with an unknown backlash-like hysteresis and bounded disturbance was presented. Radial basis function neural networks (RBFNN) were used to approximate
Externí odkaz:
https://doaj.org/article/2a558ccda24944a9a706891ab2719e2d
Publikováno v:
Diagnostics, Vol 14, Iss 11, p 1204 (2024)
In recent years, Convolutional Neural Network (CNN) models have demonstrated notable advancements in various domains such as image classification and Natural Language Processing (NLP). Despite their success in image classification tasks, their potent
Externí odkaz:
https://doaj.org/article/b73f3c8f63134fc8ad78fd5b86355c5a
Publikováno v:
IEEE Access, Vol 11, Pp 137680-137687 (2023)
In this work, the neural networks-based adaptive fault-tolerant control problem for nonlinear systems with actuator faults and input quantization is investigated. To approximate the nonlinear functions in the control system, radial basis function neu
Externí odkaz:
https://doaj.org/article/9aeb6c62ad73449bb9654a8d8a8ca826
Publikováno v:
IEEE Access, Vol 11, Pp 90526-90537 (2023)
Due to the explosive growth of digital images, new efficient and effective methodologies and tools are needed in the image retrieval field. Compared to the content-based image retrieval approach that suffers from the semantic gap, the text-based imag
Externí odkaz:
https://doaj.org/article/14b2331783ab41b1948a8fb4c7bb52ec
Publikováno v:
Applied Sciences, Vol 13, Iss 2, p 1175 (2023)
Recently, smart home devices have been widely used to assist and facilitate the lives of human beings. Human activity recognition (HAR) aims to identify human activities using sensors in smartphones. Therefore, it can be employed in many applications
Externí odkaz:
https://doaj.org/article/d9f926845a224a59a8b5a473fddacbbe
Publikováno v:
Applied Sciences, Vol 12, Iss 24, p 12823 (2022)
The democratization of access to internet and social media has given an opportunity for every individual to openly express his or her ideas and feelings. Unfortunately, this has also created room for extremist, racist, misogynist, and offensive opini
Externí odkaz:
https://doaj.org/article/26b2e9cc6a72465aab10fd19a32cbbab
Publikováno v:
Computers, Materials & Continua. 75:2557-2573
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d189b47614d92cccf907ca1e93b486b
https://doi.org/10.32604/cmc.2023.033270
https://doi.org/10.32604/cmc.2023.033270