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Mohammad Alauthman, Ahmad Al-qerem, Bilal Sowan, Ayoub Alsarhan, Mohammed Eshtay, Amjad Aldweesh and Nauman Aslam
Developing an effective classification model in the medical field is challenging due to limited datasets. To address this issue, this study proposes using a generative adversarial network (GAN) as a data-augmentation technique. The research aims to enhan...
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Ayoub Soulaimani, Saïd Chakiri, Saâd Soulaimani, Ahmed Manar, Zohra Bejjaji, Abdelhalim Miftah, Mohammed Amine Zerdeb, Yaacoub Zidane, Mustapha Boualoul and Anselme Muzirafuti
Numerical analysis of geophysical data to uncover Precambrian belts and probably to enclose mineral deposits is becoming once more communal in mining activity. The method is founded on typifying zones branded to comprehend deposits and looking for analog...
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Mohammed Renima, Ayoub Zeroual, Yasmine Hamitouche, Ali Assani, Sara Zeroual, Ahmed Amin Soltani, Cedrick Mulowayi Mubulayi, Sabrina Taibi, Senna Bouabdelli, Sara Kabli, Allal Ghammit, Idris Bara, Abdennour Kastali and Ramdane Alkama
The role of climate change in future streamflow is still very uncertain, especially over semi-arid regions. However, part of this uncertainty can be offset by correcting systematic climate models? bias. This paper tries to assess how the choice of a bias...
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Ayoub Mohammed Mahmoud
Pág. Page:1 - 15Abstract
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Mohammed A. I. Ayoub
Pág. 1364 - 1371
Web-based decision support systems are increasingly used over the past years. However, few studies have been conducted on evaluation of web-based decision support systems especially in the field of online shopping. This paper attempts to explore the crit...
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