Zobrazeno 1 - 10
of 109 610
pro vyhledávání: '"A, Siddiqui"'
Autor:
Kavuri, Gautam A., Palfree, Jasper, Reddy, Dileep V., Zhang, Yanbao, Bienfang, Joshua C., Mazurek, Michael D., Alhejji, Mohammad A., Siddiqui, Aliza U., Cavanagh, Joseph M., Dalal, Aagam, Abellán, Carlos, Amaya, Waldimar, Mitchell, Morgan W., Stange, Katherine E., Beale, Paul D., Brandão, Luís T. A. N., Booth, Harold, Peralta, René, Nam, Sae Woo, Mirin, Richard P., Stevens, Martin J., Knill, Emanuel, Shalm, Lynden K.
The unpredictability of random numbers is fundamental to both digital security and applications that fairly distribute resources. However, existing random number generators have limitations-the generation processes cannot be fully traced, audited, an
Externí odkaz:
http://arxiv.org/abs/2411.05247
Autor:
Mondal, Parmita, Nagesh, Swetadri Vasan Setlur, Sommers-Thaler, Sam, Shields, Allison, Bhurwani, Mohammad Mahdi Shiraz, Williams, Kyle A, Baig, Ammad, Snyder, Kenneth, Siddiqui, Adnan H, Levy, Elad, Ionita, Ciprian N
Intraoperative 2D quantitative angiography (QA) for intracranial aneurysms (IAs) has accuracy challenges due to the variability of hand injections. Despite the success of singular value decomposition (SVD) algorithms in reducing biases in computed to
Externí odkaz:
http://arxiv.org/abs/2411.03655
Chest X-rays (X-ray images) have been proven to be effective for the diagnosis of chest diseases, including Pneumonia, Lung Opacity, and COVID-19. However, relying on traditional medical methods for diagnosis from X-ray images is prone to delays and
Externí odkaz:
http://arxiv.org/abs/2410.15437
The linear canonical transform (LCT) serves as a powerful generalization of the Fourier transform (FT), encapsulating various integral transforms within a unified framework. This versatility has made it a cornerstone in fields such as signal processi
Externí odkaz:
http://arxiv.org/abs/2410.19001
Autor:
Siddiqui, Shoaib Ahmed, Kossaifi, Jean, Bonev, Boris, Choy, Christopher, Kautz, Jan, Krueger, David, Azizzadenesheli, Kamyar
Despite tremendous progress in developing deep-learning-based weather forecasting systems, their design space, including the impact of different design choices, is yet to be well understood. This paper aims to fill this knowledge gap by systematicall
Externí odkaz:
http://arxiv.org/abs/2410.07472
Recent works have successfully applied Large Language Models (LLMs) to function modeling tasks. However, the reasons behind this success remain unclear. In this work, we propose a new evaluation framework to comprehensively assess LLMs' function mode
Externí odkaz:
http://arxiv.org/abs/2410.04541
Autor:
Siddiqui, Shoaib Ahmed, Gaonkar, Radhika, Köpf, Boris, Krueger, David, Paverd, Andrew, Salem, Ahmed, Tople, Shruti, Wutschitz, Lukas, Xia, Menglin, Zanella-Béguelin, Santiago
Large Language Models (LLMs) are rapidly becoming commodity components of larger software systems. This poses natural security and privacy problems: poisoned data retrieved from one component can change the model's behavior and compromise the entire
Externí odkaz:
http://arxiv.org/abs/2410.03055
Autor:
Elshaar, Mohssen E., Manaa, Zeyad M., Elbalshy, Mohammed R., Siddiqui, Abdul Jabbar, Abdallah, Ayman M.
Unmanned Aerial Vehicles (UAVs) are becoming more popular in various sectors, offering many benefits, yet introducing significant challenges to privacy and safety. This paper investigates state-of-the-art solutions for detecting and tracking quadroto
Externí odkaz:
http://arxiv.org/abs/2410.00285
Autor:
Shah, Shahid Munir, Gillani, Syeda Anshrah, Baig, Mirza Samad Ahmed, Saleem, Muhammad Aamer, Siddiqui, Muhammad Hamzah
This study investigates the use of Large Language Models (LLMs) for improved depression detection from users social media data. Through the use of fine-tuned GPT 3.5 Turbo 1106 and LLaMA2-7B models and a sizable dataset from earlier studies, we were
Externí odkaz:
http://arxiv.org/abs/2409.14794
Network slicing in 5G and the future 6G networks will enable the creation of multiple virtualized networks on a shared physical infrastructure. This innovative approach enables the provision of tailored networks to accommodate specific business types
Externí odkaz:
http://arxiv.org/abs/2409.11258