Zobrazeno 1 - 10
of 114
pro vyhledávání: '"Majed Alhaisoni"'
Autor:
Mujeeb Ur Rehman, Arslan Shafique, Muhammad Shahbaz Khan, Maha Driss, Wadii Boulila, Yazeed Yasin Ghadi, Suresh Babu Changalasetty, Majed Alhaisoni, Jawad Ahmad
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 9, Iss 4, Pp 821-836 (2024)
Abstract The Internet of Multimedia Things (IoMT) refers to a network of interconnected multimedia devices that communicate with each other over the Internet. Recently, smart healthcare has emerged as a significant application of the IoMT, particular
Externí odkaz:
https://doaj.org/article/8bacf8427a974ae18c147d7bae55d61e
Autor:
Muhammad Sami Ullah, Muhammad Attique Khan, Nouf Abdullah Almujally, Majed Alhaisoni, Tallha Akram, Mohammad Shabaz
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract A significant issue in computer-aided diagnosis (CAD) for medical applications is brain tumor classification. Radiologists could reliably detect tumors using machine learning algorithms without extensive surgery. However, a few important cha
Externí odkaz:
https://doaj.org/article/46675dc185ec43f2a8fded212bdc5c11
Autor:
Unber Zahra, Muhammad Attique Khan, Majed Alhaisoni, Areej Alasiry, Mehrez Marzougui, Anum Masood
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 3038-3052 (2024)
Diseases impact the rates of production of many agricultural goods. These diseases require detection, which is difficult to do manually. Therefore, the creation of some automated illness detection systems is urgently required. Deep learning showed si
Externí odkaz:
https://doaj.org/article/ae38fdfe1352471991f4ccdf75108130
Autor:
Ameer Hamza, Muhammad Attique Khan, Shams ur Rehman, Hussain Mobarak Albarakati, Roobaea Alroobaea, Abdullah M. Baqasah, Majed Alhaisoni, Anum Masood
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 9888-9903 (2023)
Classification of remote scenes in satellite imagery has many applications, such as surveillance, earth observation, etc. Classifying high-resolution remote sensing images in machine learning is a big challenge nowadays. Several automated techniques
Externí odkaz:
https://doaj.org/article/3b16198b276f4f55bffe18f9044b88b0
Autor:
Tauseef Rana, Ayesha Maqbool, Toqir A. Rana, Alina Mirza, Zeshan Iqbal, Muhammad Attique Khan, Majed Alhaisoni, Abdullah Alqahtani, Ye Jin Kim, Byoungchol Chang
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 10, Pp 10319-10338 (2022)
For industry 5.0, constructing new large scale systems by using existing and new technologies is the latest research trend; being a combination of hardware and software technologies, these are referred to as hybrid systems. For constructing large and
Externí odkaz:
https://doaj.org/article/0ec316aee4fd44108cd17d83bbea1f90
Autor:
Sobia Bibi, Muhammad Attique Khan, Jamal Hussain Shah, Robertas Damaševičius, Areej Alasiry, Mehrez Marzougui, Majed Alhaisoni, Anum Masood
Publikováno v:
Diagnostics, Vol 13, Iss 19, p 3063 (2023)
Cancer is one of the leading significant causes of illness and chronic disease worldwide. Skin cancer, particularly melanoma, is becoming a severe health problem due to its rising prevalence. The considerable death rate linked with melanoma requires
Externí odkaz:
https://doaj.org/article/339e5b069007425aad50c820eedd8072
Autor:
Muneezah Hussain, Muhammad Attique Khan, Robertas Damaševičius, Areej Alasiry, Mehrez Marzougui, Majed Alhaisoni, Anum Masood
Publikováno v:
Diagnostics, Vol 13, Iss 18, p 2869 (2023)
Background: Using artificial intelligence (AI) with the concept of a deep learning-based automated computer-aided diagnosis (CAD) system has shown improved performance for skin lesion classification. Although deep convolutional neural networks (DCNNs
Externí odkaz:
https://doaj.org/article/1ce74b9509b14bc497218c970205dee0
Autor:
Muhammad Hassam, Muhammad Attique Khan, Ammar Armghan, Sara A. Althubiti, Majed Alhaisoni, Abdullah Alqahtani, Seifedine Kadry, Yongsung Kim
Publikováno v:
IEEE Access, Vol 10, Pp 91828-91839 (2022)
Fruit disease recognition is quickly becoming a hot topic in the field of computer vision. The presence of plant diseases not only reduces fruit production but also causes a significant loss to the national economy. Citrus fruits help to strengthen t
Externí odkaz:
https://doaj.org/article/7467e9f5753f44d49629b2d89ddfbc1a
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:
Shams ur Rehman, Muhamamd Attique Khan, Anum Masood, Nouf Abdullah Almujally, Jamel Baili, Majed Alhaisoni, Usman Tariq, Yu-Dong Zhang
Publikováno v:
Diagnostics, Vol 13, Iss 9, p 1618 (2023)
The early detection of breast cancer using mammogram images is critical for lowering women’s mortality rates and allowing for proper treatment. Deep learning techniques are commonly used for feature extraction and have demonstrated significant perf
Externí odkaz:
https://doaj.org/article/ae72c09ef6df4bf582cfea4206f531b5