Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Hammam Alshazly"'
Autor:
Amol Dattatray Dhaygude, Gaurav Kumar Ameta, Ihtiram Raza Khan, Pavitar Parkash Singh, Renato R. Maaliw III, Natrayan Lakshmaiya, Mohammad Shabaz, Muhammad Attique Khan, Hany S. Hussein, Hammam Alshazly
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 9, Iss 4, Pp 805-820 (2024)
Abstract Deep learning has recently become a viable approach for classifying Alzheimer's disease (AD) in medical imaging. However, existing models struggle to efficiently extract features from medical images and may squander additional information re
Externí odkaz:
https://doaj.org/article/e9d8b87bdcdc4ad8b547e72e3cd2bc24
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
Autor:
Ameer Hamza, Muhammad Attique Khan, Shui-Hua Wang, Majed Alhaisoni, Meshal Alharbi, Hany S. Hussein, Hammam Alshazly, Ye Jin Kim, Jaehyuk Cha
Publikováno v:
Frontiers in Public Health, Vol 10 (2022)
The COVID-19 virus's rapid global spread has caused millions of illnesses and deaths. As a result, it has disastrous consequences for people's lives, public health, and the global economy. Clinical studies have revealed a link between the severity of
Externí odkaz:
https://doaj.org/article/2d0b6270d9df4e83b75fedf41c15f5f1
Autor:
Ameer Hamza, Muhammad Attique Khan, Shui-Hua Wang, Abdullah Alqahtani, Shtwai Alsubai, Adel Binbusayyis, Hany S. Hussein, Thomas Markus Martinetz, Hammam Alshazly
Publikováno v:
Frontiers in Public Health, Vol 10 (2022)
Coronavirus disease 2019 (COVID-19) is a highly contagious disease that has claimed the lives of millions of people worldwide in the last 2 years. Because of the disease's rapid spread, it is critical to diagnose it at an early stage in order to redu
Externí odkaz:
https://doaj.org/article/3e7723292caa4599b18d1eb5e1ce6a23
Publikováno v:
IEEE Access, Vol 9, Pp 103481-103496 (2021)
Seagull Optimization Algorithm (SOA) is a metaheuristic algorithm that mimics the migrating and hunting behaviour of seagulls. SOA is able to solve continuous real-life problems, but not to discrete problems. The eight different binary versions of SO
Externí odkaz:
https://doaj.org/article/760e68bd496741579707583356c5c093
Publikováno v:
IEEE Access, Vol 9, Pp 108276-108292 (2021)
Diabetic retinopathy (DR) is a diabetes complication that affects the eye and can cause damage from mild vision problems to complete blindness. It has been observed that the eye fundus images show various kinds of color aberrations and irrelevant ill
Externí odkaz:
https://doaj.org/article/0e1f50c4ee7a46e0be0d091e222ff247
Publikováno v:
IEEE Access, Vol 9, Pp 122254-122273 (2021)
This paper presents ear recognition models constructed with Deep Residual Networks (ResNet) of various depths. Due to relatively limited amounts of ear images we propose three different transfer learning strategies to address the ear recognition prob
Externí odkaz:
https://doaj.org/article/97a471de538a4b4abc2360d3d7257324
Publikováno v:
IEEE Access, Vol 8, Pp 170295-170310 (2020)
This paper employs state-of-the-art Deep Convolutional Neural Networks (CNNs), namely AlexNet, VGGNet, Inception, ResNet and ResNeXt in a first experimental study of ear recognition on the unconstrained EarVN1.0 dataset. As the dataset size is still
Externí odkaz:
https://doaj.org/article/4dd9436fca2c4319af330e37444f8655
Autor:
Abdullah G. Alharbi, Mohammad Monirujjaman Khan, Kaisarul Islam, Md. Nakib Alam Shovon, Mohammad Inam Abbasi, Sami Bourouis, Hany S. Hussein, Hammam Alshazly, Thabet Slimani
Publikováno v:
International Journal of Antennas and Propagation, Vol 2022 (2022)
The future of wireless technology is moving towards millimeter wave bands due to a surge in the use of wearable gadgets in current wireless bands. The 60 GHz band is unlicensed around the world and has gathered high research interest. At this band, t
Externí odkaz:
https://doaj.org/article/c1156ae6a7c74f9dafcd35e64c89c554
Publikováno v:
PeerJ Computer Science, Vol 7, p e655 (2021)
In this paper we propose two novel deep convolutional network architectures, CovidResNet and CovidDenseNet, to diagnose COVID-19 based on CT images. The models enable transfer learning between different architectures, which might significantly boost
Externí odkaz:
https://doaj.org/article/629439eae21748d291bcd423a67c06bd