Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mehdhar S. A. M. Al-Gaashani"'
Autor:
Ivian L. Castellano, Gilberto Fernando Castro Aguilar, Nemury Silega, Tahir Kamal, Mehdhar S. A. M. Al-Gaashani, Nagwan Abdel Samee, Maali Alabdulhafith
Publikováno v:
IEEE Access, Vol 11, Pp 100146-100153 (2023)
The quality of software systems may be seriously impacted by specific types of source code anomalies. For example, poor programming practices result in Code Smells (CSs), which are a specific type of source code anomalies. They lead to architectural
Externí odkaz:
https://doaj.org/article/19a20fbc032340c0946681f73da71438
Autor:
Asadulla Ashurov, Samia Allaoua Chelloug, Alexey Tselykh, Mohammed Saleh Ali Muthanna, Ammar Muthanna, Mehdhar S. A. M. Al-Gaashani
Publikováno v:
Life, Vol 13, Iss 9, p 1945 (2023)
Breast cancer, a leading cause of female mortality worldwide, poses a significant health challenge. Recent advancements in deep learning techniques have revolutionized breast cancer pathology by enabling accurate image classification. Various imaging
Externí odkaz:
https://doaj.org/article/ca6400a4a575432e9e4b2f68e7274186
Autor:
Mehdhar S. A. M. Al-Gaashani, Nagwan Abdel Samee, Rana Alnashwan, Mashael Khayyat, Mohammed Saleh Ali Muthanna
Publikováno v:
Life, Vol 13, Iss 6, p 1277 (2023)
The domestication of animals and the cultivation of crops have been essential to human development throughout history, with the agricultural sector playing a pivotal role. Insufficient nutrition often leads to plant diseases, such as those affecting
Externí odkaz:
https://doaj.org/article/d3daca9531b54c01879416f43899023c
Autor:
Nagwan Abdel Samee, Noha F. Mahmoud, Ghada Atteia, Hanaa A. Abdallah, Maali Alabdulhafith, Mehdhar S. A. M. Al-Gaashani, Shahab Ahmad, Mohammed Saleh Ali Muthanna
Publikováno v:
Diagnostics, Vol 12, Iss 10, p 2541 (2022)
Brain tumors (BTs) are deadly diseases that can strike people of every age, all over the world. Every year, thousands of people die of brain tumors. Brain-related diagnoses require caution, and even the smallest error in diagnosis can have negative r
Externí odkaz:
https://doaj.org/article/fe5479fc67be420b82f17540a80e2fef
Autor:
Mehdhar S. A. M. Al‐gaashani, Fengjun Shang, Mohammed S. A. Muthanna, Mashael Khayyat, Ahmed A. Abd El‐Latif
Publikováno v:
IET Image Processing. 16:913-925
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f7dfb2d7ce7d158441e97c010a8d1e5
https://doi.org/10.1049/ipr2.12397
https://doi.org/10.1049/ipr2.12397
Ensemble Learning of Lightweight Deep Convolutional Neural Networks for Crop Disease Image Detection
Publikováno v:
Journal of Circuits, Systems and Computers. 32
The application of convolutional neural networks (CNNs) to plant disease recognition is widely considered to enhance the effectiveness of such networks significantly. However, these models are nonlinear and have a high bias. To address the high bias
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f390b180d026d08e64fa6c7e067af686
https://doi.org/10.1142/s021812662350086x
https://doi.org/10.1142/s021812662350086x