Zobrazeno 1 - 10
of 22 816
pro vyhledávání: '"A. M. ALI"'
Publikováno v:
Hydrology and Earth System Sciences, Vol 27, Pp 4057-4086 (2023)
The filling of the Grand Ethiopian Renaissance Dam (GERD) started in 2020, posing additional challenges for downstream water management in the Blue Nile River in the Republic of the Sudan, which is already struggling to cope with the effects of clima
Externí odkaz:
https://doaj.org/article/667b3ba640464f139acc4b95aa3eb0df
Publikováno v:
Bulgarian Journal of Veterinary Medicine, Vol 26, Iss 1, Pp 53-64 (2023)
Lumpy skin disease (LSD) is a viral disease, geographically distributed in Africa and now, vigorously spread in the Near East and also in Europe and Asia. It has a significant economic impact on cattle industry in Africa. The aim of this study was is
Externí odkaz:
https://doaj.org/article/a96fe6a0065a4f9884e50aa5e9896d43
Purpose: To investigate the changes in retinal vascular structures associated various stages of myopia by designing automated software based on an artif intelligencemodel. Methods: The study involved 1324 pediatric participants from the National Chil
Externí odkaz:
http://arxiv.org/abs/2409.20419
AI-based vascular segmentation is becoming increasingly common in enhancing the screening and treatment of ophthalmic diseases. Deep learning structures based on U-Net have achieved relatively good performance in vascular segmentation. However, small
Externí odkaz:
http://arxiv.org/abs/2410.02808
Artificial Intelligence (AI) advancements have enabled the development of Large Language Models (LLMs) that can perform a variety of tasks with remarkable semantic understanding and accuracy. ChatGPT is one such LLM that has gained significant attent
Externí odkaz:
http://arxiv.org/abs/2408.00435
Autor:
Le, Triet H. M., Babar, M. Ali
Background: Software Vulnerability (SV) prediction needs large-sized and high-quality data to perform well. Current SV datasets mostly require expensive labeling efforts by experts (human-labeled) and thus are limited in size. Meanwhile, there are gr
Externí odkaz:
http://arxiv.org/abs/2407.17803
Background: The C and C++ languages hold significant importance in Software Engineering research because of their widespread use in practice. Numerous studies have utilized Machine Learning (ML) and Deep Learning (DL) techniques to detect software vu
Externí odkaz:
http://arxiv.org/abs/2407.17053
Autor:
Le, Triet H. M., Babar, M. Ali
Background: Software Vulnerability (SV) assessment is increasingly adopted to address the ever-increasing volume and complexity of SVs. Data-driven approaches have been widely used to automate SV assessment tasks, particularly the prediction of the C
Externí odkaz:
http://arxiv.org/abs/2407.10722
We present the angular distribution of the four-fold $B\to\rho (\to\pi\pi)\mu^{+}\mu^{-}$ and $B\to a_{1}(\to\rho_{\parallel, \perp}\pi)\mu^{+}\mu^{-}$ decays both in the Standard Model and the family non-universal $Z^{\prime}$ model. At the quark le
Externí odkaz:
http://arxiv.org/abs/2407.00520
Context: Machine learning (ML) and deep learning (DL) analyze raw data to extract valuable insights in specific phases. The rise of continuous practices in software projects emphasizes automating Continuous Integration (CI) with these learning-based
Externí odkaz:
http://arxiv.org/abs/2406.19765