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pro vyhledávání: '"A A Noor"'
Autor:
Abd, Noor Saud, Karoui, Kamel
In the current digital age, the volume of data generated by various cyber activities has become enormous and is constantly increasing. The data may contain valuable insights that can be harnessed to improve cyber security measures. However, much of t
Externí odkaz:
http://arxiv.org/abs/2411.14550
Autor:
Puspa, Sefatun-Noor, Enan, Abyad, Majumdar, Reek, Salek, M Sabbir, Comert, Gurcan, Chowdhury, Mashrur
Cyber-physical systems rely on sensors, communication, and computing, all powered by integrated circuits (ICs). ICs are largely susceptible to various hardware attacks with malicious intents. One of the stealthiest threats is the insertion of a hardw
Externí odkaz:
http://arxiv.org/abs/2411.12721
Autor:
Roy, Aurora Lithe, Siam, Md Kamrul, Prova, Nuzhat Noor Islam, Jahan, Sumaiya, Maruf, Abdullah Al
Diabetes, particularly Type 2 diabetes (T2D), poses a substantial global health burden, compounded by its associated complications such as cardiovascular diseases, kidney failure, and vision impairment. Early detection of T2D is critical for improvin
Externí odkaz:
http://arxiv.org/abs/2411.14471
Publikováno v:
Advances in Information and Communication Proceedings of the 2024 Future of Information and Communication Conference (FICC), Volume 3
It is typically assumed that for the successful use of machine learning algorithms, these algorithms should have a higher accuracy than a human expert. Moreover, if the average accuracy of ML algorithms is lower than that of a human expert, such algo
Externí odkaz:
http://arxiv.org/abs/2411.10474
We completely characterize the bounded composition operators $C_\phi f=f\circ\phi$ on the Paley-Wiener spaces $B^2_{\sigma}$ for $\sigma>0$ that are self-adjoint, unitary, cohyponormal, normal, complex symmetric and hypercyclic. Moreover, we show tha
Externí odkaz:
http://arxiv.org/abs/2411.01339
Autor:
Hassan, Ibne, Mujahid, Aman, Hasib, Abdullah Al, Shagoto, Andalib Rahman, Mondal, Joyanta Jyoti, Manab, Meem Arafat, Noor, Jannatun
Countries in South Asia experience many catastrophic flooding events regularly. Through image classification, it is possible to expedite search and rescue initiatives by classifying flood zones, including houses and humans. We create a new dataset co
Externí odkaz:
http://arxiv.org/abs/2411.00169
Autor:
Arbore, Russel, Routh, Xavier, Noor, Abdul Rafae, Kothari, Akash, Yang, Haichao, Xu, Weihong, Pinge, Sumukh, Zhou, Minxuan, Adve, Vikram, Rosing, Tajana
Hyperdimensional Computing (HDC), a technique inspired by cognitive models of computation, has garnered significant interest in recent years. For example, HDC has been proposed as a more efficient and robust alternative basis for machine learning. Th
Externí odkaz:
http://arxiv.org/abs/2410.15179
Fairness-aware Machine Learning (FairML) applications are often characterized by complex social objectives and legal requirements, frequently involving multiple, potentially conflicting notions of fairness. Despite the well-known Impossibility Theore
Externí odkaz:
http://arxiv.org/abs/2410.13286
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