Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Fallah H Najjar"'
Publikováno v:
Baghdad Science Journal, Vol 21, Iss 2(SI) (2024)
Alzheimer's disease (AD) increasingly affects the elderly and is a major killer of those 65 and over. Different deep-learning methods are used for automatic diagnosis, yet they have some limitations. Deep Learning is one of the modern methods that we
Externí odkaz:
https://doaj.org/article/5a125c18d06f4955847c30260f760694
Autor:
Karrar A. Kadhim, Fallah H Najjar, Ali Abdulhussein Waad, Ibrahim H Al-Kharsan, Zaid Nidhal Khudhair, Ali Aqeel Salim
Publikováno v:
Malaysian Journal of Fundamental and Applied Sciences. 19:306-312
Among the most pressing issues in the field of illness diagnostics is identifying and diagnosing leukemia at its earliest stages, which requires accurate distinction of malignant leukocytes at a low cost. Leukemia is quite common, yet laboratory diag
Autor:
Safa Riyadh Waheed, Ammar AbdRoba Sakran, Mohd Shafry Mohd Rahim, Norhaida Mohd Suaib, Fallah H Najjar, Karrar A Kadhim, Ali Aqeel Salim, Myasar Mundher Adnan
Publikováno v:
Malaysian Journal of Fundamental and Applied Sciences. 19:345-354
The Internet of Things (IoT) is a cutting-edge innovation that facilitates the cost-effective development of smart system architectures. Although current regulations necessitate installing an analog fire alarm system, such a system lacks the intellig
Publikováno v:
Malaysian Journal of Fundamental and Applied Sciences. 19:369-378
In light of the fact that the global pandemic of Coronavirus Disease 2019 (COVID-19) is still having a significant impact on the health of people all over the world, there is a growing need for testing diagnosis and treatment that can be completed qu
Autor:
Safa Riyadh Waheed, Saadi Mohammed Saadi, Mohd Shafry Mohd Rahim, Norhaida Mohd Suaib, Fallah H Najjar, Myasar Mundher Adnan, Ali Aqeel Salim
Publikováno v:
Malaysian Journal of Fundamental and Applied Sciences. 19:299-305
Melanoma, the deadliest form of skin cancer, is on the rise. The goal of this study is to present a deep learning system implementation for the detection of melanoma lesions on a server equipped with a graphics processing unit (GPU). When applied by
Autor:
Fallah H Najjar, Karrar A Kadhim, Munaf Hamza Kareem, Hanan Abbas Salman, Duha Amer Mahdi, Horya M Al-Hindawi
Publikováno v:
Malaysian Journal of Fundamental and Applied Sciences. 19:389-398
As the world continues to battle the devastating effects of the COVID-19 pandemic, it has become increasingly crucial to screen patients for contamination accurately and effectively. One of the primary screening methods is chest radiography, utilizin
Publikováno v:
Iraqi Journal of Science. :1963-1974
Coronavirus is considered the first virus to sweep the world in the twenty-first century, it appeared by the end of 2019. It started in the Chinese city of Wuhan and began to spread in different regions around the world too quickly and uncontrollable
Autor:
Kifah T. Khudhair, Ola N. Kadhim, Fallah H. Najjar, Firas Abedi, Ali N. Jamaluddin, Ibrahim H. Al-Kharsan
Publikováno v:
2022 5th International Conference on Engineering Technology and its Applications (IICETA).
Autor:
Fallah H. Najjar, Kifah T. Khudhair, Ali Hussein Abdul Khaleq, Ola N. Kadhim, Firas Abedi, Ibrahim H. Al-Kharsan
Publikováno v:
2022 5th International Conference on Engineering Technology and its Applications (IICETA).
Autor:
Kifah T Khudhair, Fallah H Najjar, Safa Riyadh Waheed, Hassan M Al-Jawahry, Haneen H Alwan, Ameer Al-khaykan
Publikováno v:
Journal of Physics: Conference Series. 2432:012021
Medical images are a specific type of image that can be used to diagnose disease in patients. Critical uses for medical images can be found in many different areas of medicine and healthcare technology. Generally, the medical images produced by these