Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Hatim A. Aboalsamh"'
Publikováno v:
IEEE Access, Vol 12, Pp 84738-84751 (2024)
The available fingerprint verification systems are based on using one sensor type to capture fingerprints. The difficulty arises when using different sensors for enrolment and query stages; it results in a cross-sensor matching or sensor interoperabi
Externí odkaz:
https://doaj.org/article/70741281c2ec4b3891bef1ea3f2b089c
Publikováno v:
IEEE Access, Vol 11, Pp 16875-16895 (2023)
Emotions play a crucial role in human interaction and healthcare. This study introduces an automatic emotion recognition system based on deep learning using electroencephalogram signals. A lightweight pyramidal one-dimensional convolutional neural ne
Externí odkaz:
https://doaj.org/article/7ddfdd761b2d41578cbe9c5bd2f41175
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 10, Pp 8909-8926 (2022)
The end-case analysis of Arabic sentences is one of the keys to their meaning. This process is called i‘raab, a daunting task for the students. The outcome of the analysis is twofold: (a) placing a proper diacritical marking on the end-cases of ind
Externí odkaz:
https://doaj.org/article/1d394f60abb540bf80f7b3a7a0ffc80d
Publikováno v:
Applied Sciences, Vol 13, Iss 24, p 12995 (2023)
Breast cancer profoundly affects women’s lives; its early diagnosis and treatment increase patient survival chances. Mammography is a common screening method for breast cancer, and many methods have been proposed for automatic diagnosis. However, m
Externí odkaz:
https://doaj.org/article/2b25d9bec66f4cfd94d2c6dc56458ccf
Publikováno v:
IEEE Access, Vol 9, Pp 41344-41359 (2021)
Diabetic retinopathy (DR) is a complication of diabetes that leads to blindness. The manual screening of color fundus images to detect DR at early stages is expensive and time consuming. Deep learning (DL) techniques have been employed for automatic
Externí odkaz:
https://doaj.org/article/7f0ef151cd564c7c8a22e6dc59e611f8
Autor:
Mubbashar Saddique, Khurshid Asghar, Usama Ijaz Bajwa, Muhammad Hussain, Hatim A. Aboalsamh, Zulfiqar Habib
Publikováno v:
IEEE Access, Vol 8, Pp 56782-56797 (2020)
These days, videos can be easily recorded, altered and shared on social and electronic media for deception and false propaganda. However, due to sophisticated nature of the content alteration tools, alterations remain inconspicuous to the naked eye a
Externí odkaz:
https://doaj.org/article/1f584f64d3874d2895a822d4a9947b99
Publikováno v:
Mathematics, Vol 11, Iss 2, p 307 (2023)
Diabetic retinopathy (DR) is a leading cause of blindness in middle-aged diabetic patients. Regular screening for DR using fundus imaging aids in detecting complications and delays the progression of the disease. Because manual screening takes time a
Externí odkaz:
https://doaj.org/article/c7f5f0a29de349a3a98883fa26241950
Publikováno v:
Axioms, Vol 12, Iss 1, p 74 (2023)
Using biometric modalities for person recognition is crucial to guard against impostor attacks. Commonly used biometric modalities, such as fingerprint scanners and facial recognition, are effective but can easily be tampered with and deceived. These
Externí odkaz:
https://doaj.org/article/1efc6dc8622b43c18ee52414aa3da38a
Publikováno v:
Mathematics, Vol 10, Iss 23, p 4610 (2022)
Dense breast tissue is a significant factor that increases the risk of breast cancer. Current mammographic density classification approaches are unable to provide enough classification accuracy. However, it remains a difficult problem to classify bre
Externí odkaz:
https://doaj.org/article/f793d35c4c9f43958537c469b5b661b5
Autor:
Helala Alshehri, Muhammad Hussain, Hatim A. Aboalsamh, Qazi Emad-Ul-Haq, Mansour AlZuair, Aqil M. Azmi
Publikováno v:
IEEE Access, Vol 7, Pp 86436-86452 (2019)
The existing automatic fingerprint verification methods are designed to work under the assumption that the same sensor is installed for enrollment and authentication (regular matching). There is a remarkable decrease in efficiency when one type of co
Externí odkaz:
https://doaj.org/article/e79cfcf3291d4daeba4fe06389aefabe