Zobrazeno 1 - 10
of 99 403
pro vyhledávání: '"Nasir AN"'
Publikováno v:
BMC Public Health, Vol 23, Iss 1, Pp 1-13 (2023)
Abstract Background The assessment of active aging levels in Pakistani older adults is crucial yet; research tools are scarce in the local language. Therefore, this study aims to translate and validate the English version of an Active Aging Scale int
Externí odkaz:
https://doaj.org/article/ab7408791204465bafa37a3cefa1c7ab
This article discusses the evolving role of artificial intelligence (AI) in the legal profession, focusing on its potential to streamline tasks such as document review, research, and contract drafting. However, challenges persist, particularly the oc
Externí odkaz:
http://arxiv.org/abs/2412.20468
Autor:
Umer, Muhammad, Mohsin, Muhammad Ahmed, Kaushik, Aryan, Nadeem, Qurrat-ul-Ain, Nasir, Ali Arshad, Hassan, Syed Ali
Reconfigurable intelligent surface (RIS)-assisted aerial non-terrestrial networks (NTNs) offer a promising paradigm for enhancing wireless communications in the era of 6G and beyond. By integrating RIS with aerial platforms such as unmanned aerial ve
Externí odkaz:
http://arxiv.org/abs/2412.18957
Cell-free massive multiple input multiple output (MIMO) systems can provide reliable connectivity and increase user throughput and spectral efficiency of integrated sensing and communication (ISAC) systems. This can only be achieved through intellige
Externí odkaz:
http://arxiv.org/abs/2412.18162
Autor:
Mittal, Govind, Gupta, Sarthak, Wagle, Shruti, Chopra, Chirag, DeMattee, Anthony J, Memon, Nasir, Ahamad, Mustaque, Hegde, Chinmay
Radio remains a pervasive medium for mass information dissemination, with AM/FM stations reaching more Americans than either smartphone-based social networking or live television. Increasingly, radio broadcasts are also streamed online and accessed o
Externí odkaz:
http://arxiv.org/abs/2412.17998
Autor:
Koenders, Kees, Schnitzpan, Leo, Kammerbauer, Fabian, Shu, Sinan, Jakob, Gerhard, Kläui, Mathis, Mentink, Johan, Ahmad, Nasir, van Gerven, Marcel
Brain-inspired learning in physical hardware has enormous potential to learn fast at minimal energy expenditure. One of the characteristics of biological learning systems is their ability to learn in the presence of various noise sources. Inspired by
Externí odkaz:
http://arxiv.org/abs/2412.12783
Autor:
Rosenbaum, Gabriel R., Jiang, Lavender Yao, Sheth, Ivaxi, Stryker, Jaden, Alyakin, Anton, Alber, Daniel Alexander, Goff, Nicolas K., Kwon, Young Joon Fred, Markert, John, Nasir-Moin, Mustafa, Niehues, Jan Moritz, Sangwon, Karl L., Yang, Eunice, Oermann, Eric Karl
Large language models (LLMs) have recently emerged as powerful tools, finding many medical applications. LLMs' ability to coalesce vast amounts of information from many sources to generate a response-a process similar to that of a human expert-has le
Externí odkaz:
http://arxiv.org/abs/2412.10982
Autor:
Jain, Anubhav, Kobayashi, Yuya, Shibuya, Takashi, Takida, Yuhta, Memon, Nasir, Togelius, Julian, Mitsufuji, Yuki
Recent advancements in text-to-image diffusion models have brought them to the public spotlight, becoming widely accessible and embraced by everyday users. However, these models have been shown to generate harmful content such as not-safe-for-work (N
Externí odkaz:
http://arxiv.org/abs/2412.07658
Hadronic resonances, with lifetimes of a few fm/\textit{c}, are key tools for studying the hadronic phase in high-energy collisions. This work investigates resonance production in pp collisions at $\sqrt{s} = 13.6$ TeV and in Pb$-$Pb collisions at $\
Externí odkaz:
http://arxiv.org/abs/2412.05178
In the modern world, our cities and societies face several technological and societal challenges, such as rapid urbanization, global warming & climate change, the digital divide, and social inequalities, increasing the need for more sustainable citie
Externí odkaz:
http://arxiv.org/abs/2412.03600