Zobrazeno 1 - 10
of 74 432
pro vyhledávání: '"A rahimi"'
Publikováno v:
Journal of Research in Dental and Maxillofacial Sciences, Vol 7, Iss 4, Pp 249-259 (2022)
Background and Aim: Tooth mobility, which is prevalent among patients seeking dental healthcare services, happens when the tooth is reversibly displaced horizontally or vertically beyond its normal physiological limits. Tooth mobility is classified i
Externí odkaz:
https://doaj.org/article/c8bce08d130c480ba05b33b8752f3485
Publikováno v:
Majallah-i Dānishgāh-i ̒Ulūm-i Pizishkī-i Bābul, Vol 24, Iss 1, Pp 472-481 (2022)
Background and Objective: Being familiar with the factors that are effective in causing falls plays an important role in reducing the issues and costs related to its treatment. Considering the contradictory results about the use of antihypertensive d
Externí odkaz:
https://doaj.org/article/6155aabd3fb04783bc23989dce1a6577
Publikováno v:
مجله اپیدمیولوژی ایران, Vol 17, Iss 3, Pp 254-263 (2021)
Background and Objectives: This qualitative study was conducted to identify reasons for not using condoms by people who inject drugs (PWID) in Iran. Materials and Methods: Purposeful sampling was applied to recruit four groups [male PWID (n = 14), f
Externí odkaz:
https://doaj.org/article/488d919d0d63471a83da637c8cfcbdca
This work compares large language models (LLMs) and neuro-symbolic approaches in solving Raven's progressive matrices (RPM), a visual abstract reasoning test that involves the understanding of mathematical rules such as progression or arithmetic addi
Externí odkaz:
http://arxiv.org/abs/2412.05586
Autor:
Malakshan, Sahar Rahimi, Saadabadi, Mohammad Saeed Ebrahimi, Dabouei, Ali, Nasrabadi, Nasser M.
Dataset Condensation (DC) aims to reduce deep neural networks training efforts by synthesizing a small dataset such that it will be as effective as the original large dataset. Conventionally, DC relies on a costly bi-level optimization which prohibit
Externí odkaz:
http://arxiv.org/abs/2412.04748
Autor:
Neupane, Subash, Tripathi, Himanshu, Mitra, Shaswata, Bozorgzad, Sean, Mittal, Sudip, Rahimi, Shahram, Amirlatifi, Amin
This paper presents ClinicSum, a novel framework designed to automatically generate clinical summaries from patient-doctor conversations. It utilizes a two-module architecture: a retrieval-based filtering module that extracts Subjective, Objective, A
Externí odkaz:
http://arxiv.org/abs/2412.04254
Autor:
Rahimi, M., Reichardt, C. L.
Since the first detection by the DASI experiment in 2002, measurements of the polarization of the cosmic microwave background (CMB) have grown into an important role in testing our understanding of conditions in the early universe and cosmology. The
Externí odkaz:
http://arxiv.org/abs/2412.04099
Autor:
DeAndres-Tame, Ivan, Tolosana, Ruben, Melzi, Pietro, Vera-Rodriguez, Ruben, Kim, Minchul, Rathgeb, Christian, Liu, Xiaoming, Gomez, Luis F., Morales, Aythami, Fierrez, Julian, Ortega-Garcia, Javier, Zhong, Zhizhou, Huang, Yuge, Mi, Yuxi, Ding, Shouhong, Zhou, Shuigeng, He, Shuai, Fu, Lingzhi, Cong, Heng, Zhang, Rongyu, Xiao, Zhihong, Smirnov, Evgeny, Pimenov, Anton, Grigorev, Aleksei, Timoshenko, Denis, Asfaw, Kaleb Mesfin, Low, Cheng Yaw, Liu, Hao, Wang, Chuyi, Zuo, Qing, He, Zhixiang, Shahreza, Hatef Otroshi, George, Anjith, Unnervik, Alexander, Rahimi, Parsa, Marcel, Sébastien, Neto, Pedro C., Huber, Marco, Kolf, Jan Niklas, Damer, Naser, Boutros, Fadi, Cardoso, Jaime S., Sequeira, Ana F., Atzori, Andrea, Fenu, Gianni, Marras, Mirko, Štruc, Vitomir, Yu, Jiang, Li, Zhangjie, Li, Jichun, Zhao, Weisong, Lei, Zhen, Zhu, Xiangyu, Zhang, Xiao-Yu, Biesseck, Bernardo, Vidal, Pedro, Coelho, Luiz, Granada, Roger, Menotti, David
Synthetic data is gaining increasing popularity for face recognition technologies, mainly due to the privacy concerns and challenges associated with obtaining real data, including diverse scenarios, quality, and demographic groups, among others. It a
Externí odkaz:
http://arxiv.org/abs/2412.01383
To efficiently factorize high-dimensional distributed representations to the constituent atomic vectors, one can exploit the compute-in-superposition capabilities of vector-symbolic architectures (VSA). Such factorizers however suffer from the phenom
Externí odkaz:
http://arxiv.org/abs/2412.00354
Autor:
Rahimi, Ahmad, Alahi, Alexandre
Trajectory prediction is essential for the safety and efficiency of planning in autonomous vehicles. However, current models often fail to fully capture complex traffic rules and the complete range of potential vehicle movements. Addressing these lim
Externí odkaz:
http://arxiv.org/abs/2411.19747