Zobrazeno 1 - 10
of 157 578
pro vyhledávání: '"Noor, A."'
Autor:
Islam, Md. Farhadul, Zabeen, Sarah, Manab, Meem Arafat, Mahin, Mohammad Rakibul Hasan, Mondal, Joyanta Jyoti, Reza, Md. Tanzim, Hasan, Md Zahidul, Haque, Munima, Sadeque, Farig, Noor, Jannatun
The majority of medical images, especially those that resemble cells, have similar characteristics. These images, which occur in a variety of shapes, often show abnormalities in the organ or cell region. The convolution operation possesses a restrict
Externí odkaz:
http://arxiv.org/abs/2409.18506
Autor:
Noman, Mubashir, Ahsan, Noor, Naseer, Muzammal, Cholakkal, Hisham, Anwer, Rao Muhammad, Khan, Salman, Khan, Fahad Shahbaz
Large multimodal models (LMMs) have shown encouraging performance in the natural image domain using visual instruction tuning. However, these LMMs struggle to describe the content of remote sensing images for tasks such as image or region grounding,
Externí odkaz:
http://arxiv.org/abs/2409.16261
Autor:
Aftab, Noor, Xunhe, Zhang, Mittelman, David R., di Cicco, Dennis, Walker, Sean, Sliski, David H., Homa, Julia, Holm-Hansen, Colin, Putman, Mary, Schiminovich, David, Henden, Arne, Walker, Gary
The Mittelman-di Cicco-Walker (MDW) H$\alpha$ Sky Survey is an autonomously-operated and ongoing all-sky imaging survey in the narrowband H$\alpha$ wavelength. The survey was founded by amateur astronomers, and is presented here in its first stage of
Externí odkaz:
http://arxiv.org/abs/2409.11481
Autor:
Aldhaheri, Lameya, Alshehhi, Noor, Manzil, Irfana Ilyas Jameela, Khalil, Ruhul Amin, Javaid, Shumaila, Saeed, Nasir, Alouini, Mohamed-Slim
The emerging field of smart agriculture leverages the Internet of Things (IoT) to revolutionize farming practices. This paper investigates the transformative potential of Long Range (LoRa) technology as a key enabler of long-range wireless communicat
Externí odkaz:
http://arxiv.org/abs/2409.11200
End-to-end web testing is challenging due to the need to explore diverse web application functionalities. Current state-of-the-art methods, such as WebCanvas, are not designed for broad functionality exploration; they rely on specific, detailed task
Externí odkaz:
http://arxiv.org/abs/2409.10741
In this study, we revisit the performance analysis of distributed beamforming architectures in dense user-centric cell-free massive multiple-input multiple-output (mMIMO) systems in line-of-sight (LoS) scenarios. By incorporating a recently developed
Externí odkaz:
http://arxiv.org/abs/2409.03551
Autor:
Kadem, Sameer, Sami, Noor, Elaraby, Ahmed, Alyousif, Shahad, Jalil, Mohammed, Altaee, M., Almusawi, Muntather, Ismaeel, A. Ghany, Kareem, Ali Kamil, Kamalrudin, Massila, ftaiet, Adnan Allwi
Publikováno v:
Fusion: Practice and Applications Volume 10 , Issue 1 , PP: 100-115, 2023
The study aims to investigate the similarities and differences in the brain damage caused by Hypoxia-Ischemia (HI), Hypoglycemia, and Epilepsy. Hypoglycemia poses a significant challenge in improving glycemic regulation for insulin-treated patients,
Externí odkaz:
http://arxiv.org/abs/2409.02957
Autor:
Ali, Shams Nafisa, Zahin, Afia, Shuvo, Samiul Based, Nizam, Nusrat Binta, Nuhash, Shoyad Ibn Sabur Khan, Razin, Sayeed Sajjad, Sani, S. M. Sakeef, Rahman, Farihin, Nizam, Nawshad Binta, Azam, Farhat Binte, Hossen, Rakib, Ohab, Sumaiya, Noor, Nawsabah, Hasan, Taufiq
Cardiac auscultation, an integral tool in diagnosing cardiovascular diseases (CVDs), often relies on the subjective interpretation of clinicians, presenting a limitation in consistency and accuracy. Addressing this, we introduce the BUET Multi-diseas
Externí odkaz:
http://arxiv.org/abs/2409.00724
Autor:
Ishtiaq, A. K. M Naim, Uddin, Md Nasir, Rana, Md. Rasel, Islam, Shariful, Afsary, Noor, Hoque, Karimul, Ali, Md. Ashraf
The recently developed MAB phases, an extension of the MAX phase, have sparked interest in research among scientists because of their better thermo-mechanical properties. In this paper, we have explored four new MAB phases M2AB2 (M=Mo, Ta and A=Ga, G
Externí odkaz:
http://arxiv.org/abs/2408.17160
Medical vision-language models (Med-VLMs) trained on large datasets of medical image-text pairs and later fine-tuned for specific tasks have emerged as a mainstream paradigm in medical image analysis. However, recent studies have highlighted the susc
Externí odkaz:
http://arxiv.org/abs/2408.16769