Zobrazeno 1 - 10
of 88 835
pro vyhledávání: '"A Jafari"'
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:
Armaghane Danesh Bimonthly Journal, Vol 26, Iss 3, Pp 338-350 (2021)
Background & aim: Currently, with increasing resistance to synthetic drugs, the demand for natural and safe alternatives to these types of medications has increased. Therefore, the aim of the present study was to determine and evaluate the antibacter
Externí odkaz:
https://doaj.org/article/9d4ced67e77948e681f2362760222233
Publikováno v:
Journal of Agricultural Machinery, Vol 11, Iss 2, Pp 161-171 (2021)
Introduction As the world population grows up, the quantity and quality of human food must be improved. The production yield of marine aquaculture and farming of aquatic organisms, as a valuable source of food, will be increased. Regular and online m
Externí odkaz:
https://doaj.org/article/15f06935a86c453195bb9e78c87c02f0
Autor:
A Jafari
Publikováno v:
Iranian Journal of Physics Research, Vol 21, Iss 2, Pp 307-315 (2021)
In the framework of quantum mechanics and based on the non-commutativity between the coordinates in Minkowski space-time, we generalize the geometric non-commutative relation to a space-time other than Minkowski. Using the authority of insertin
Externí odkaz:
https://doaj.org/article/f7e9c1b3cde34208b9a4c611874c74e8
Autor:
Hosseini, Seyed Mohammad, Jamshid, Arash, Noormousavi, Seyed Mahdi, Siavoshani, Mahdi Jafari, Omidvar, Naeimeh
We introduce a novel category of set functions called Extended Deep Submodular functions (EDSFs), which are neural network-representable. EDSFs serve as an extension of Deep Submodular Functions (DSFs), inheriting crucial properties from DSFs while a
Externí odkaz:
http://arxiv.org/abs/2409.12053
The world of Machine Learning (ML) has witnessed rapid changes in terms of new models and ways to process users data. The majority of work that has been done is focused on Deep Learning (DL) based approaches. However, with the emergence of new algori
Externí odkaz:
http://arxiv.org/abs/2409.10392
Nonreciprocal thermal emitters that break Kirchhoff's law of thermal radiation promise exciting applications for thermal and energy applications. The design of the bandwidth and angular range of the nonreciprocal effect, which directly affects the pe
Externí odkaz:
http://arxiv.org/abs/2409.09192
Autor:
Khalili, Erfan Amoozad, Ghasemzadeh, Kiarash, Gohari, Hossein, Jafari, Mohammadreza, Jamshidi, Matin, Khaksar, Mahdi, AkramiFard, AmirReza, Hatamzadeh, Mana, Sadeghi, Saba, Moaiyeri, Mohammad Hossein
This paper presents the development of the Auriga @Work robot, designed by the Robotics and Intelligent Automation Lab at Shahid Beheshti University, Department of Electrical Engineering, for the RoboCup 2024 competition. The robot is tailored for in
Externí odkaz:
http://arxiv.org/abs/2409.06693
Brain is one the most complex organs in the human body. Due to its complexity, classification of brain tumors still poses a significant challenge, making brain tumors a particularly serious medical issue. Techniques such as Machine Learning (ML) coup
Externí odkaz:
http://arxiv.org/abs/2409.05359
Autor:
Jafari, Sajad, Bayani, Atiyeh, Parastesh, Fatemeh, Rajagopal, Karthikeyan, del Genio, Charo I., Minati, Ludovico, Boccaletti, Stefano
The Master Stability Function is a robust and useful tool for determining the conditions of synchronization stability in a network of coupled systems. While a comprehensive classification exists in the case in which the nodes are chaotic dynamical sy
Externí odkaz:
http://arxiv.org/abs/2409.04193