Zobrazeno 1 - 10
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pro vyhledávání: '"Alam, Mohammed A."'
Advancements in generative modeling are pushing the state-of-the-art in synthetic medical image generation. These synthetic images can serve as an effective data augmentation method to aid the development of more accurate machine learning models for
Externí odkaz:
http://arxiv.org/abs/2409.19436
The prevalence of AI-generated imagery has raised concerns about the authenticity of astronomical images, especially with advanced text-to-image models like Stable Diffusion producing highly realistic synthetic samples. Existing detection methods, pr
Externí odkaz:
http://arxiv.org/abs/2407.06817
Existing vision-text contrastive learning models enhance representation transferability and support zero-shot prediction by matching paired image and caption embeddings while pushing unrelated pairs apart. However, astronomical image-label datasets a
Externí odkaz:
http://arxiv.org/abs/2407.07315
The intersection of Astronomy and AI encounters significant challenges related to issues such as noisy backgrounds, lower resolution (LR), and the intricate process of filtering and archiving images from advanced telescopes like the James Webb. Given
Externí odkaz:
http://arxiv.org/abs/2405.13267
Autor:
Qazi, Mohammad Areeb, Alam, Mohammed Talha, Almakky, Ibrahim, Diehl, Werner Gerhard, Bricker, Leanne, Yaqub, Mohammad
Precise estimation of fetal biometry parameters from ultrasound images is vital for evaluating fetal growth, monitoring health, and identifying potential complications reliably. However, the automated computerized segmentation of the fetal head, abdo
Externí odkaz:
http://arxiv.org/abs/2311.09607
Autor:
Imam, Raza, Alam, Mohammed Talha
Publikováno v:
E-pi UAI workshop (UAI 2023)
Deep learning has emerged as a prominent field in recent literature, showcasing the introduction of models that utilize transfer learning to achieve remarkable accuracies in the classification of brain tumor MRI images. However, the majority of these
Externí odkaz:
http://arxiv.org/abs/2308.06821
Inspired by the recent debate on the macroeconomic implications of the new bank regulatory standards known as Basel III, we tried to find out in this study that the impact of Basel III liquidity and capital requirements in Bangladesh proposed by Base
Externí odkaz:
http://arxiv.org/abs/2303.11414
Autor:
Watson, Samuel I.1 (AUTHOR) s.i.watson@bham.ac.uk, Ul Alam, Mohammed Atique2 (AUTHOR), Rego, Ryan T. T.3 (AUTHOR), Lilford, Richard J.1 (AUTHOR), Barman, Ashok Kumar2 (AUTHOR), Alam, Baharul2 (AUTHOR), Faruque, A. S. G.2 (AUTHOR), Islam, Md. Sirajul2 (AUTHOR)
Publikováno v:
Conflict & Health. 10/17/2024, Vol. 18 Issue 1, p1-12. 12p.
Autor:
Gilpin, Leilani H., Paley, Andrew R., Alam, Mohammed A., Spurlock, Sarah, Hammond, Kristian J.
There is broad agreement that Artificial Intelligence (AI) systems, particularly those using Machine Learning (ML), should be able to "explain" their behavior. Unfortunately, there is little agreement as to what constitutes an "explanation." This has
Externí odkaz:
http://arxiv.org/abs/2207.00007
Autor:
Priyan, S. Ranjith, Kumar, G. Suresh, Rajendran, Ramesh, Arumugam, Gowdhaman, Van Minh, Nguyen, Alam, Mohammed Mujahid
Publikováno v:
In Ceramics International 15 November 2024 50(22) Part B:47456-47471