Zobrazeno 1 - 10
of 23 858
pro vyhledávání: '"A. Faiza"'
The rapid acceleration of global urbanization has introduced novel challenges in enhancing urban infrastructure and services. Spatio-temporal data, integrating spatial and temporal dimensions, has emerged as a critical tool for understanding urban ph
Externí odkaz:
http://arxiv.org/abs/2411.04936
In material physics, characterization techniques are foremost crucial for obtaining the materials data regarding the physical properties as well as structural, electronics, magnetic, optic, dielectric, and spectroscopic characteristics. However, for
Externí odkaz:
http://arxiv.org/abs/2409.11782
Accessing and comprehending religious texts, particularly the Quran (the sacred scripture of Islam) and Ahadith (the corpus of the sayings or traditions of the Prophet Muhammad), in today's digital era necessitates efficient and accurate Question-Ans
Externí odkaz:
http://arxiv.org/abs/2409.09844
Autor:
Dige, Omkar, Singh, Diljot, Yau, Tsz Fung, Zhang, Qixuan, Bolandraftar, Borna, Zhu, Xiaodan, Khattak, Faiza Khan
Mitigating bias in language models (LMs) has become a critical problem due to the widespread deployment of LMs. Numerous approaches revolve around data pre-processing and fine-tuning of language models, tasks that can be both time-consuming and compu
Externí odkaz:
http://arxiv.org/abs/2406.13551
Modern large language models (LLMs) have a significant amount of world knowledge, which enables strong performance in commonsense reasoning and knowledge-intensive tasks when harnessed properly. The language model can also learn social biases, which
Externí odkaz:
http://arxiv.org/abs/2405.04756
Autor:
Kohankhaki, Farnaz, Emerson, D. B., Tian, Jacob-Junqi, Seyyed-Kalantari, Laleh, Khattak, Faiza Khan
Bias in large language models (LLMs) has many forms, from overt discrimination to implicit stereotypes. Counterfactual bias evaluation is a widely used approach to quantifying bias and often relies on template-based probes that explicitly state group
Externí odkaz:
http://arxiv.org/abs/2404.03471
Autor:
Alnaggar, Aliaa, Farrukh, Faiza
This paper investigates the optimal locations and capacities of hospital expansion facilities under uncertain future patient demands, considering both spatial and temporal correlations. We propose a novel two-stage distributionally robust optimizatio
Externí odkaz:
http://arxiv.org/abs/2403.13234
Publikováno v:
Pigment & Resin Technology, 2023, Vol. 53, Issue 6, pp. 933-945.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/PRT-04-2023-0032
Autor:
Tazi, Faiza1 (AUTHOR) faiza.tazi@du.edu, Dykstra, Josiah2 (AUTHOR) josiah@designersecurity.com, Rajivan, Prashanth3 (AUTHOR) prajivan@uw.edu, Chalil Madathil, Kapil4 (AUTHOR) kmadath@clemson.edu, Hughart, Jiovanne5 (AUTHOR) abizwhiz@icloud.com, McElligott, James6 (AUTHOR) mcellig@musc.edu, Votipka, Daniel7 (AUTHOR) dvotipka@cs.tufts.edu, Das, Sanchari8 (AUTHOR) Sanchari.Das@du.edu
Publikováno v:
Communications of the ACM. Sep2024, Vol. 67 Issue 9, p27-30. 4p.
With the rapid increase in the Internet of Things (IoT), the amount of data produced and processed is also increased. Cloud Computing facilitates the storage, processing, and analysis of data as needed. However, cloud computing devices are located fa
Externí odkaz:
http://arxiv.org/abs/2312.12910