Zobrazeno 1 - 10
of 191 496
pro vyhledávání: '"Mahmood, A. A."'
Autor:
Meng, Nicole, Manicke, Caleb, Chen, David, Lao, Yingjie, Ding, Caiwen, Hong, Pengyu, Mahmood, Kaleel
Adversarial examples represent a serious issue for the application of machine learning models in many sensitive domains. For generating adversarial examples, decision based black-box attacks are one of the most practical techniques as they only requi
Externí odkaz:
http://arxiv.org/abs/2411.12071
Autor:
Iacovelli, Giovanni, Sheemar, Chandan Kumar, Khan, Wali Ullah, Mahmood, Asad, Alexandropoulos, George C., Querol, Jorge, Chatzinotas, Symeon
In this article, we propose the integration of the Holographic Multiple Input Multiple Output (HMIMO) as a transformative solution for next generation Non-Terrestrial Networks (NTNs), addressing key challenges, such as high hardware costs, launch exp
Externí odkaz:
http://arxiv.org/abs/2411.10014
Neural networks have shown remarkable performance in various tasks, yet they remain susceptible to subtle changes in their input or model parameters. One particularly impactful vulnerability arises through the Bit-Flip Attack (BFA), where flipping a
Externí odkaz:
http://arxiv.org/abs/2411.08133
Although most teachers acknowledge the importance of taking investigative approached in students' science learning experiences, implementing them in high-school classes can be challenging for teachers. In this work, we analyzed data from multiple sou
Externí odkaz:
http://arxiv.org/abs/2411.04275
In this paper we address the question: How many pairwise non-isomorphic extremely amenable groups are there which are seprable metrizable or even Polish? We show that there are continuum many such groups. In fact we construct continuum many pairwise
Externí odkaz:
http://arxiv.org/abs/2411.02760
Autor:
Mahmood, Rafid
Compared to classical machine learning (ML) models, generative models offer a new usage paradigm where (i) a single model can be used for many different tasks out-of-the-box; (ii) users interact with this model over a series of natural language promp
Externí odkaz:
http://arxiv.org/abs/2411.02661
Autor:
Sanghera, Rohan, Thirunavukarasu, Arun James, Khoury, Marc El, O'Logbon, Jessica, Chen, Yuqing, Watt, Archie, Mahmood, Mustafa, Butt, Hamid, Nishimura, George, Soltan, Andrew
Large language models (LLMs) excel in tasks requiring processing and interpretation of input text. Abstract screening is a labour-intensive component of systematic review involving repetitive application of inclusion and exclusion criteria on a large
Externí odkaz:
http://arxiv.org/abs/2411.02451
This study investigates the propagation of an ultrafast laser pulse through a liquid medium. A femtosecond laser oscillator with a pulse duration of less than 8 fs is used. By conducting experiments with coumarin and fluorescein dyes in water, methan
Externí odkaz:
http://arxiv.org/abs/2411.01708
Autor:
Umer, Muhammad, Mohsin, Muhammad Ahmed, Mahmood, Aamir, Dev, Kapal, Jung, Haejoon, Gidlund, Mikael, Hassan, Syed Ali
This paper explores the potential of aerial reconfigurable intelligent surfaces (ARIS) to enhance coordinated multi-point non-orthogonal multiple access (CoMP-NOMA) networks. We consider a system model where a UAV-mounted RIS assists in serving multi
Externí odkaz:
http://arxiv.org/abs/2411.01338
Autor:
Durasov, Nikita, Mahmood, Rafid, Choi, Jiwoong, Law, Marc T., Lucas, James, Fua, Pascal, Alvarez, Jose M.
3D object detection is an essential task for computer vision applications in autonomous vehicles and robotics. However, models often struggle to quantify detection reliability, leading to poor performance on unfamiliar scenes. We introduce a framewor
Externí odkaz:
http://arxiv.org/abs/2410.23910