Zobrazeno 1 - 10
of 197
pro vyhledávání: '"Nazari Zahra"'
Publikováno v:
Translational Neuroscience, Vol 13, Iss 1, Pp 72-79 (2022)
The classical renin-angiotensin system (RAS) has an important role in the cardiovascular system and water homeostasis in the body. Recently, the existence of RAS with all of its components has been shown in the mammalian brain. RAS participates in ma
Externí odkaz:
https://doaj.org/article/08716080425f4e188e8d623f851efc6d
Autor:
Abedi Esmail, Nazari Zahra
Publikováno v:
Acta Universitatis Sapientiae: Mathematica, Vol 8, Iss 1, Pp 5-21 (2016)
We study submanifolds of a quaternionic projective space, it is of great interest how to pull down some formulae deduced for submanifolds of a sphere to those for submanifolds of a quaternionic projective space.
Externí odkaz:
https://doaj.org/article/5134d7acf7a945dd9514a969764df3d7
Autor:
Akbari-Nassaji Neda, Sabeti Fahimeh, Ziaei Kajbaf Tahereh, Fakharzadeh Leila, Nazari Zahra, Cheraghian Bahman, Cham Kouri Narges
Publikováno v:
Journal of Clinical and Diagnostic Research, Vol 11, Iss 6, Pp SC01-SC04 (2017)
Introduction: High concentration of blood lead is accompanied by adverse health effects on growth of foetus and the newborn. Aim: The aim of this study was to determine umbilical cord blood lead level and its relationship with birth weight, lengt
Externí odkaz:
https://doaj.org/article/d99ec385eb9f4332b3b3319bbfc2e6e0
This study investigates the transformation of energy models to align with machine learning requirements as a promising tool for optimizing the operation of combined cycle power plants (CCPPs). By modeling energy production as a function of environmen
Externí odkaz:
http://arxiv.org/abs/2304.10009
The bandit paradigm provides a unified modeling framework for problems that require decision-making under uncertainty. Because many business metrics can be viewed as rewards (a.k.a. utilities) that result from actions, bandit algorithms have seen a l
Externí odkaz:
http://arxiv.org/abs/2302.01223
Recommender systems (RS) commonly retrieve potential candidate items for users from a massive number of items by modeling user interests based on historical interactions. However, historical interaction data is highly sparse, and most items are long-
Externí odkaz:
http://arxiv.org/abs/2301.01737
Sequential recommendation models the dynamics of a user's previous behaviors in order to forecast the next item, and has drawn a lot of attention. Transformer-based approaches, which embed items as vectors and use dot-product self-attention to measur
Externí odkaz:
http://arxiv.org/abs/2201.06035
Autor:
Jones, Rosie, Zamani, Hamed, Schedl, Markus, Chen, Ching-Wei, Reddy, Sravana, Clifton, Ann, Karlgren, Jussi, Hashemi, Helia, Pappu, Aasish, Nazari, Zahra, Yang, Longqi, Semerci, Oguz, Bouchard, Hugues, Carterette, Ben
Podcasts are spoken documents across a wide-range of genres and styles, with growing listenership across the world, and a rapidly lowering barrier to entry for both listeners and creators. The great strides in search and recommendation in research an
Externí odkaz:
http://arxiv.org/abs/2106.09227
Autor:
Nazari, Zahra, Mahdavi, Vahid
Publikováno v:
In Journal of Organometallic Chemistry 15 April 2024 1010
Autor:
Nazari, Zahra, Charbuillet, Christophe, Pages, Johan, Laurent, Martin, Charrier, Denis, Vecchione, Briana, Carterette, Ben
Recommender systems are increasingly used to predict and serve content that aligns with user taste, yet the task of matching new users with relevant content remains a challenge. We consider podcasting to be an emerging medium with rapid growth in ado
Externí odkaz:
http://arxiv.org/abs/2007.13287