Zobrazeno 1 - 10
of 106 545
pro vyhledávání: '"Siddiqui AT"'
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
In Generalized Zero-Shot Learning (GZSL), we aim to recognize both seen and unseen categories using a model trained only on seen categories. In computer vision, this translates into a classification problem, where knowledge from seen categories is tr
Externí odkaz:
http://arxiv.org/abs/2409.00511
Predicting and reasoning how a video would make a human feel is crucial for developing socially intelligent systems. Although Multimodal Large Language Models (MLLMs) have shown impressive video understanding capabilities, they tend to focus more on
Externí odkaz:
http://arxiv.org/abs/2409.00304